Podcast appearances and mentions of paul thagard

Not Born Yesterday: The Science of Who We Trust and What We Believe, https://lukeford.net/blog/?p=130046 My highlights: https://lukeford.net/blog/?p=143746 New Yorker: Don't Believe What They're Telling You About Misinformation: People may fervently espouse symbolic beliefs, cognitive scientists say, but they don't treat them the same as factual beliefs. It's worth keeping track of the difference. https://www.newyorker.com/magazine/2024/04/22/dont-believe-what-theyre-telling-you-about-misinformation Weill isn't the only one to fear the effects of false information. In January, the World Economic Forum released a report showing that fourteen hundred and ninety international experts rated “misinformation and disinformation” the leading global risk of the next two years, surpassing war, migration, and climatic catastrophe. A stack of new books echoes their concerns. In “Falsehoods Fly: Why Misinformation Spreads and How to Stop It” (Columbia), Paul Thagard, a philosopher at the University of Waterloo, writes that “misinformation is threatening medicine, science, politics, social justice, and international relations, affecting problems such as vaccine hesitancy, climate change denial, conspiracy theories, claims of racial inferiority, and the Russian invasion of Ukraine.” In “Foolproof: Why Misinformation Infects Our Minds and How to Build Immunity” (Norton), Sander van der Linden, a social-psychology professor at Cambridge, warns that “viruses of the mind” disseminated by false tweets and misleading headlines pose “serious threats to the integrity of elections and democracies worldwide.” Or, as the M.I.T. political scientist Adam J. Berinsky puts it in “Political Rumors: Why We Accept Misinformation and How to Fight It” (Princeton), “a democracy where falsehoods run rampant can only result in dysfunction.” Most Americans seem to agree with these theorists of human credulity... In a masterly new book, “Religion as Make-Believe” (Harvard), Neil Van Leeuwen, a philosopher at Georgia State University, returns to Sperber's ideas with notable rigor. He analyzes beliefs with a taxonomist's care, classifying different types and identifying the properties that distinguish them. He proposes that humans represent and use factual beliefs differently from symbolic beliefs, which he terms “credences.” Factual beliefs are for modelling reality and behaving optimally within it. Because of their function in guiding action, they exhibit features like “involuntariness” (you can't decide to adopt them) and “evidential vulnerability” (they respond to evidence). Symbolic beliefs, meanwhile, largely serve social ends, not epistemic ones, so we can hold them even in the face of contradictory evidence. https://odysee.com/@LukeFordLive, https://rumble.com/lukeford, https://dlive.tv/lukefordlivestreams Superchat: https://entropystream.live/app/lukefordlive Bitchute: https://www.bitchute.com/channel/lukeford/ Soundcloud MP3s: https://soundcloud.com/luke-ford-666431593 Code of Conduct: https://lukeford.net/blog/?p=125692 http://lukeford.net Email me: lukeisback@gmail.com or DM me on Twitter.com/lukeford, Best videos: https://lukeford.net/blog/?p=143746 Support the show | https://www.streamlabs.com/lukeford, https://patreon.com/lukeford, https://PayPal.Me/lukeisback Facebook: http://facebook.com/lukecford Book an online Alexander Technique lesson with Luke: https://alexander90210.com Feel free to clip my videos. It's nice when you link back to the original.

------------------Support the channel------------ Patreon: https://www.patreon.com/thedissenter PayPal: paypal.me/thedissenter PayPal Subscription 3 Dollars: https://tinyurl.com/ybn6bg9l PayPal Subscription 5 Dollars: https://tinyurl.com/ycmr9gpz PayPal Subscription 10 Dollars: https://tinyurl.com/y9r3fc9m PayPal Subscription 20 Dollars: https://tinyurl.com/y95uvkao   ------------------Follow me on--------------------- Facebook: https://www.facebook.com/thedissenteryt/ Twitter: https://twitter.com/TheDissenterYT   This show is sponsored by Enlites, Learning & Development done differently. Check the website here: http://enlites.com/   Dr. Paul Thagard is Distinguished Professor Emeritus of Philosophy at the University of Waterloo and a Fellow of the Royal Society of Canada, the Cognitive Science Society, and the Association for Psychological Science. The Canada Council awarded him a Molson Prize (2007) and a Killam Prize (2013). He is a philosopher, cognitive scientist, and author of many interdisciplinary books, the latest one being Falsehoods Fly: Why Misinformation Spreads and How to Stop It.   In this episode, we focus on Falsehoods Fly. We start by distinguishing information from misinformation, and we discuss why we should worry about misinformation. We talk about the AIMS Theory of Information and Misinformation. We discuss cognitive errors and motivated cognition. We talk about the reliability of news sources, and go through several examples of misinformation, namely medical misinformation and the COVID-19 pandemic; scientific misinformation and climate change; conspiracy theories; political misinformation, and misinformation about inequality; and misinformation on the Russia-Ukraine conflict. Finally, we discuss how we can prevent misinformation, and how this book connects to Dr. Thagard's The Cognitive Science of Science. -- A HUGE THANK YOU TO MY PATRONS/SUPPORTERS: PER HELGE LARSEN, JERRY MULLER, HANS FREDRIK SUNDE, BERNARDO SEIXAS, OLAF ALEX, ADAM KESSEL, MATTHEW WHITINGBIRD, ARNAUD WOLFF, TIM HOLLOSY, HENRIK AHLENIUS, FILIP FORS CONNOLLY, DAN DEMETRIOU, ROBERT WINDHAGER, RUI INACIO, ZOOP, MARCO NEVES, COLIN HOLBROOK, PHIL KAVANAGH, SAMUEL ANDREEFF, FRANCIS FORDE, TIAGO NUNES, FERGAL CUSSEN, HAL HERZOG, NUNO MACHADO, JONATHAN LEIBRANT, JOÃO LINHARES, STANTON T, SAMUEL CORREA, ERIK HAINES, MARK SMITH, JOÃO EIRA, TOM HUMMEL, SARDUS FRANCE, DAVID SLOAN WILSON, YACILA DEZA-ARAUJO, ROMAIN ROCH, DIEGO LONDOÑO CORREA, YANICK PUNTER, CHARLOTTE BLEASE, NICOLE BARBARO, ADAM HUNT, PAWEL OSTASZEWSKI, NELLEKE BAK, GUY MADISON, GARY G HELLMANN, SAIMA AFZAL, ADRIAN JAEGGI, PAULO TOLENTINO, JOÃO BARBOSA, JULIAN PRICE, EDWARD HALL, HEDIN BRØNNER, DOUGLAS FRY, FRANCA BORTOLOTTI, GABRIEL PONS CORTÈS, URSULA LITZCKE, SCOTT, ZACHARY FISH, TIM DUFFY, SUNNY SMITH, JON WISMAN, WILLIAM BUCKNER, PAUL-GEORGE ARNAUD, LUKE GLOWACKI, GEORGIOS THEOPHANOUS, CHRIS WILLIAMSON, PETER WOLOSZYN, DAVID WILLIAMS, DIOGO COSTA, ANTON ERIKSSON, CHARLES MOREY, ALEX CHAU, AMAURI MARTÍNEZ, CORALIE CHEVALLIER, BANGALORE ATHEISTS, LARRY D. LEE JR., OLD HERRINGBONE, MICHAEL BAILEY, DAN SPERBER, ROBERT GRESSIS, IGOR N, JEFF MCMAHAN, JAKE ZUEHL, BARNABAS RADICS, MARK CAMPBELL, TOMAS DAUBNER, LUKE NISSEN, KIMBERLY JOHNSON, JESSICA NOWICKI, LINDA BRANDIN, NIKLAS CARLSSON, GEORGE CHORIATIS, VALENTIN STEINMANN, PER KRAULIS, KATE VON GOELER, ALEXANDER HUBBARD, BR, MASOUD ALIMOHAMMADI, JONAS HERTNER, URSULA GOODENOUGH, DAVID PINSOF, SEAN NELSON, MIKE LAVIGNE, JOS KNECHT, ERIK ENGMAN, LUCY, YHONATAN SHEMESH, MANVIR SINGH, AND PETRA WEIMANN! A SPECIAL THANKS TO MY PRODUCERS, YZAR WEHBE, JIM FRANK, ŁUKASZ STAFINIAK, TOM VANEGDOM, BERNARD HUGUENEY, CURTIS DIXON, BENEDIKT MUELLER, THOMAS TRUMBLE, KATHRINE AND PATRICK TOBIN, JONCARLO MONTENEGRO, AL NICK ORTIZ, AND NICK GOLDEN! AND TO MY EXECUTIVE PRODUCERS, MATTHEW LAVENDER, SERGIU CODREANU, BOGDAN KANIVETS, ROSEY, AND GREGORY HASTINGS!

Can you imagine the brain's intricate dance that helps us maintain balance? How does this process connect with vertigo, cognitive decline, and even our emotions and decision-making?Paul Thagard is a professor emeritus at the University of Waterloo and the author of several books. His latest release is titled Balance: How It Works and What It Means, and next year his new book, Falsehoods Fly: Why Misinformation Spreads and How to Stop It, will be published.Paul and Greg discuss Paul's research into the brain and the way it handles certain tasks. Paul sheds light on how balance and nausea are linked and also how misinformation commonly weaves its way into our knowledge base. Learn about the surprising links between vertigo and nausea as he explains how our brains influence our lives in nuanced ways.*unSILOed Podcast is produced by University FM.*Episode Quotes:Cognition and emotion are constantly integrated19:09: So, the idea that cognition and emotion are separate in the brain is all wrong. They're constantly integrated, and it's a really good thing because it means that the perceptions that we're doing, the predictions that we're making, the explanations we're coming up, are all tied with the explanations of current ways in which our situation is relevant to our goals. So emotion, instead of just being something that somehow gets in the way of cognition or is extraneous to it, is actually tightly integrated with it, and that's one of the great powers of the human brain.Is balance conscious?10:32: Balance is mostly unconscious because almost all the things you do, when you're walking down the street or even just sitting in front of a TV, doesn't involve thinking about it. But when consciousness becomes important, balance breaks.Misinformation is a major issue in everyday life58:19: In decision-making and ethics in general, empathy is really important—that is, you've got to be able to put yourself in somebody else's shoes and figure out why they're feeling the way they are. But the solution for this isn't just courses in critical thinking—I never thought of my book on misinformation as being a critical thinking textbook. It's not a textbook at all. But it's a book that I hope will make it clear to people that all these problems of information and misinformation are major issues in everyday life.Is there something wrong with the way that economists talk about goals?48:45: The economist's way of talking about goals is just ridiculous. But they think of values as preferences. Well, where do preferences come from? Preferences come from goals and emotions. And so the fundamental idea here is that goals and emotions and preferences are derivative.Show Links:Recommended Resources:Integrated information theoryBroadcasting TheoriesSemantic pointer competition vs. information integrationHow to Build a Brain: A Neural Architecture for Biological Cognition (Oxford Series on Cognitive Models and Architectures) Guest Profile:Faculty Profile at University of WaterlooPaul Thagard's WebsitePaul Thagard on LinkedInHis Work:Falsehoods Fly: Why Misinformation Spreads and How to Stop ItPaul Thagard Amazon Author PageBalance: How It Works and What It MeansBots and Beasts: What Makes Machines, Animals, and People Smart?Mind-Society: From Brains to Social Sciences and ProfessionsNatural Philosophy: From Social Brains to Knowledge, Reality, Morality, and BeautyThe Brain and the Meaning of LifeHot Thought: Mechanisms And Applications of Emotional CognitionGoogle Scholar ArticlesPsychology Today Articles

Paul Thagard is a philosopher, cognitive scientist, and author of many interdisciplinary books. He is Distinguished Professor Emeritus of Philosophy at the University of Waterloo and a Fellow of the Royal Society of Canada, the Cognitive Science Society, and the Association for Psychological Science. Paul is the author of "Bots and Beasts: What Makes Machines, Animals, and People Smart?" which is the first systematic comparison of intelligence across machines, humans, and other animals. It draws on philosophy for a method of attributing mental capacities to nonhumans and for an approach to ethics based on vital needs. Psychology and neuroscience furnish the mechanisms that support intelligence. --- Support this podcast: https://podcasters.spotify.com/pod/show/out-of-the-blank/support

Humans have an unusually long childhood — and an unusually long elderhood past the age of reproductive activity. Why do we spend so much time playing and exploring, caregiving and reflecting, learning and transmitting? What were the evolutionary circumstances that led to our unique life history among the primates? What use is the undisciplined child brain with its tendencies to drift, scatter, and explore in a world that adults understand in such very different terms? And what can we transpose from the study of human cognition as a developmental, stagewise process to the refinement and application of machine learning technologies?Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I'm your host, Michael Garfield, and every other week we'll bring you with us for far-ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe.This week we talk to SFI External Professor Alison Gopnik, Professor of Psychology and Affiliate Professor of Philosophy at the University of California Berkeley, author of numerous books on psych, cognitive science, childhood development. She writes a column at The Wall Street Journal, alternating with Robert Sapolsky. Slate said that Gopnik is “where to go if you want to get into the head of a baby.” In our conversation we discuss the tension between exploration and exploitation, the curious evolutionary origins of human cognition, the value of old age, and she provides a sober counterpoint about life in the age of large language machine learning models.Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com. If you value our research and communication efforts, please subscribe, rate and review us at Apple Podcasts or Spotify, and consider making a donation — or finding other ways to engage with us at santafe.edu/engage.Lastly, we have a bevy of summer programs coming up! Join us June 19-23 for Collective Intelligence: Foundations + Radical Ideas, a first-ever event open to both academics and professionals, with sessions on adaptive matter, animal groups, brains, AI, teams, and more.  Space is limited! Apps close February 1st.OR Apply to participate in the Complex Systems Summer School.OR the Graduate Workshop on Complexity in Social Science.OR the Undergraduate Complexity Research program, for which apps close tonight!OR the free online Foundations and Applications in Humanities Analytics course with Complexity Explorer, which starts next week.Thank you for listening!Join our Facebook discussion group to meet like minds and talk about each episode.Podcast theme music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedInMentioned & Related Links:Alison Gopnik at WikipediaAlison Gopnik's Google Scholar pageExplanation as Orgasmby Alison GopnikTwitter thread for Gopnik's latest SFI Seminar on machine learning and child developmentChanges in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthoodby Gopnik et al.Pretense, Counterfactuals, and Bayesian Causal Models: Why What Is Not Real Really Mattersby Deena Weisberg & Alison GopnikChildhood as a solution to explore–exploit tensionsby Alison GopnikThe Origins of Common Sense in Humans and Machinesby Kevin A Smith, Eliza Kosoy, Alison Gopnik, Deepak Pathak, Alan Fern, Joshua B Tenenbaum, & Tomer UllmanWhat Does “Mind-Wandering” Mean to the Folk? An Empirical Investigationby Zachary C. Irving, Aaron Glasser, Alison Gopnik, Verity Pinter, Chandra SripadaModels of Human Scientific Discoveryby Robert Goldstone, Alison Gopnik, Paul Thagard, Tomer UllmanLove Lets Us Learn: Psychological Science Makes the Case for Policies That Help Childrenby Alison Gopnik at APSOur Favorite New Things Are the Old Onesby Alison Gopnik at The Wall Street JournalAn exchange of letters on the role of noise in collective intelligenceby Daniel Kahneman, David Krakauer, Olivier Sibony, Cass Sunstein, & David Wolpert#DEVOBIAS2018 on SFI TwitterCoarse-graining as a downward causation mechanismby Jessica FlackComplexity 90: Caleb Scharf on The Ascent of Information: Life in The Human DataomeComplexity 15: R. Maria del-Rio Chanona on Modeling Labor Markets & Tech UnemploymentLearning through the grapevine and the impact of the breadth and depth of social networksby Matthew Jackson, Suraj Malladi, & David McAdamsThe coming battle for the COVID-19 narrativeby Wendy Carlin & Sam BowlesComplexity 83: Eric Beinhocker & Diane Coyle on Rethinking Economics for A Sustainable & Prosperous WorldComplexity 97: Glen Weyl & Cris Moore on Plurality, Governance, and Decentralized SocietyDerek Thompson at The Atlantic on the forces slowing innovation at scale (citing Chu & Evans)

Dr Paul Thagard is a Canadian cognitive scientist and philosopher of mind. He is the author of many interdisciplinary books, including, most recently, "Balance: How it Works and What it Means." In this conversation, KMO and Paul discuss: 03:32 – Balance, Paul's book of two parts 04:47 – The inner ear and its role in balance 06:50 – Comparing balance and scales 08:40 – Using metaphors, Scott Adams, and Sam Harris 15:52 – Toxic metaphors and AI monitoring live conversations 20:00 – How prevalent misinformation is 22:52 – Opinions on vaccination 23:28 – The notion of consensus reality 25:40 – The no-longer binary (strong/weak) nature of AI 30:48 – The vacuously eloquent linguistic models 34:32 – Panpsychism and its relation to neuroscience 37:38 – Neural representation of meaning 41:08 – Whether larger brains means more intelligence 45:22 – Cats vs Boston Dynamics robots and the generality of human skill 47:26 - AI ethics 50:20 - Our future moral duties to suffering-capable AI entities Host and guest: KMO: en.padverb.com/kmo | @Kayemmo Dr Paul Thagard: paulthagard.com Links and references: Overpopulation on Mars - quoteinvestigator.com/2020/10/04/mars/ Eliezer Yudkowsky – en.wikipedia.org/wiki/Eliezer_Yudkowsky

Dr. Paul Thagard is our guest on this final episode of a three-part series on The Nature of Trust. Paul is a philosopher, cognitive scientist, author and Distinguished Professor Emeritus of Philosophy from the University of Waterloo. As described in his 3-book Treatise on Mind and Society, he discusses the relatively new approach in cognitive science, called the Semantic Pointer Theory of Cognition and explains how trust can be viewed through that lens. The discussion also includes some of his perspectives on misinformation that will be found in his forthcoming book: Misinformation: How information works, breaks, and mends.

Hosted by Andrew Keen, Keen On features conversations with some of the world's leading thinkers and writers about the economic, political, and technological issues being discussed in the news, right now. In this episode, Andrew is joined by Paul Thagard, author of Balance: How It Works and What It Means. Paul Thagard is distinguished professor emeritus of philosophy at the University of Waterloo and a fellow of the Royal Society of Canada, the Cognitive Science Society, and the Association for Psychological Science. His books include The Brain and the Meaning of Life (2010); Natural Philosophy: From Social Brains to Knowledge, Reality, Morality, and Beauty (2019); and Bots and Beasts: What Makes Machines, Animals, and People Smart? (2021). Learn more about your ad choices. Visit megaphone.fm/adchoices

Living is a balancing act. Ordinary activities like walking, running, or riding a bike require the brain to keep the body in balance. A dancer's poised elegance and a tightrope walker's breathtaking performance are feats of balance. Language abounds with expressions and figures of speech that invoke balance. People fret over work-life balance or try to eat a balanced diet. The concept crops up from politics—checks and balances, the balance of power, balanced budgets—to science, in which ideas of equilibrium are crucial. Why is balance so fundamental, and how do physical and metaphorical balance shed light on each other?Paul Thagard explores the physiological workings and metaphorical resonance of balance in the brain, the body, and society. He describes the neural mechanisms that keep bodies balanced and explains why their failures can result in nausea, falls, or vertigo. Thagard connects bodily balance with leading ideas in neuroscience, including the nature of consciousness. He analyzes balance metaphors across science, medicine, economics, the arts, and philosophy, showing why some aid understanding but others are misleading or harmful. Thagard contends that balance is ultimately a matter of making sense of the world. In both literal and metaphorical senses, balance is what enables people to solve the puzzles of life by turning sensory signals or an incongruous comparison into a coherent whole.Bridging philosophy, psychology, and neuroscience, Balance shows how an unheralded concept's many meanings illuminate the human condition.Bring balance to your life, get the book here: https://wellingtonsquarebooks.indiecommerce.com/book/9780231205580

Paul Thagard is a philosopher specializing in cognitive science, philosophy of mind, and the philosophy of science and medicine. He is professor emeritus of philosophy at the University of Waterloo. He has made important contributions in understanding cognition, coherence, creativity, and the role of emotions in cognition.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: The Best Textbooks on Every Subject, published by lukeprog on LessWrong. For years, my self-education was stupid and wasteful. I learned by consuming blog posts, Wikipedia articles, classic texts, podcast episodes, popular books, video lectures, peer-reviewed papers, Teaching Company courses, and Cliff's Notes. How inefficient! I've since discovered that textbooks are usually the quickest and best way to learn new material. That's what they are designed to be, after all. Less Wrong has often recommended the "read textbooks!" method. Make progress by accumulation, not random walks. But textbooks vary widely in quality. I was forced to read some awful textbooks in college. The ones on American history and sociology were memorably bad, in my case. Other textbooks are exciting, accurate, fair, well-paced, and immediately useful. What if we could compile a list of the best textbooks on every subject? That would be extremely useful. Let's do it. There have been other pages of recommended reading on Less Wrong before (and elsewhere), but this post is unique. Here are the rules: Post the title of your favorite textbook on a given subject. You must have read at least two other textbooks on that same subject. You must briefly name the other books you've read on the subject and explain why you think your chosen textbook is superior to them. Rules #2 and #3 are to protect against recommending a bad book that only seems impressive because it's the only book you've read on the subject. Once, a popular author on Less Wrong recommended Bertrand Russell's A History of Western Philosophy to me, but when I noted that it was more polemical and inaccurate than the other major histories of philosophy, he admitted he hadn't really done much other reading in the field, and only liked the book because it was exciting. I'll start the list with three of my own recommendations... Subject: History of Western Philosophy Recommendation: The Great Conversation, 6th edition, by Norman Melchert Reason: The most popular history of western philosophy is Bertrand Russell's A History of Western Philosophy, which is exciting but also polemical and inaccurate. More accurate but dry and dull is Frederick Copelston's 11-volume A History of Philosophy. Anthony Kenny's recent 4-volume history, collected into one book as A New History of Western Philosophy, is both exciting and accurate, but perhaps too long (1000 pages) and technical for a first read on the history of philosophy. Melchert's textbook, The Great Conversation, is accurate but also the easiest to read, and has the clearest explanations of the important positions and debates, though of course it has its weaknesses (it spends too many pages on ancient Greek mythology but barely mentions Gottlob Frege, the father of analytic philosophy and of the philosophy of language). Melchert's history is also the only one to seriously cover the dominant mode of Anglophone philosophy done today: naturalism (what Melchert calls "physical realism"). Be sure to get the 6th edition, which has major improvements over the 5th edition. Subject: Cognitive Science Recommendation: Cognitive Science, by Jose Luis Bermudez Reason: Jose Luis Bermudez's Cognitive Science: An Introduction to the Science of Mind does an excellent job setting the historical and conceptual context for cognitive science, and draws fairly from all the fields involved in this heavily interdisciplinary science. Bermudez does a good job of making himself invisible, and the explanations here are some of the clearest available. In contrast, Paul Thagard's Mind: Introduction to Cognitive Science skips the context and jumps right into a systematic comparison (by explanatory merit) of the leading theories of mental representation: logic, rules, concepts, analogies, images, and neural networks. The book is o...

Do you want to know how computer models are used to understand scientific discoveries and reasoning? Do you want to know how animals and AI's are performing compared to human intelligence? On this episode, we invited Paul Thagard, a professor of philosophy at the University of Waterloo, to talk about his new book Bots and Beasts, the nature of philosophy and cognitive science, and computational models. If these topics interest you, head over to our podcast channel and listen to our latest episode! Also, if you want to learn more about Professor Thagard's publications and research, visit paulthagard.com for more information.

Welcome to episode #23 of the Cool Collaborations podcast. My guest today is Paul Thagard, PhD, a is a philosopher, cognitive scientist, and author. He is a Distinguished Professor Emeritus of Philosophy at the University of Waterloo and a Fellow of the Royal Society of Canada. He has been awarded the Molson Prize (2007) and a Killam Prize (2013) by the Canada Council for the Arts.Our conversation covers a lot of ground as we explore collaboration in the world of people, animals, and artificial intelligence, in line with the work in Paul's new book Bots and Beasts: What Makes Machines, Animals, and People Smart? We speak about recursive thinking, empathy, complex problem solving, and creativity in the three worlds of bots, beasts, and humans. Here's a few links to Paul Thagard's latest book and some of the other things we discuss during the episode: Paul Thagard, PhDBots and Beasts: What Makes Machines, Animals, and People Smart?Richard Nisbett, Theodore M. Newcomb Distinguished University Professor, College of Literature, Science and the Arts, University of MichiganKeith Holyoak, Distinguished Professor, Stanford UniversityOcean's ElevenLitt, Abninder & Eliasmith, Chris & Kroon, Frederick & Weinstein, Steven & Thagard, Paul. (2006). Is the brain a quantum computer?. Cognitive science. 30. 593-603. 10.1207/s15516709cog0000_59.Distributed Artificial Intelligence or Multiagent systemsDeep Mind by GoogleIBM WatsonAlphaGo – DeepMind playing the game Go.The concept of EmergencePaul Thagard's new book Bots and Beasts: What Makes Machines, Animals, and People Smart? It comes out on October 19, 2021.  And, be sure to subscribe to the Cool Collaborations podcast with your podcast provider and share it with a friend you think would enjoy listening. Your host for the Cool Collaborations podcast is Scott Millar. Scott is the principle of Collaboration Dynamics, where he often works as a "peacemaker" by gathering people with different experiences and values and helping them navigate beyond their differences to tackle complex problems together. 

Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts: What Makes Machines, Animals, and People Smart? (MIT Press, 2021), Paul Thagard looks at how computers (“bots”) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines—including Watson, AlphaZero, virtual assistants, and self-driving cars—and the most intelligent animals—including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities. Galina Limorenko is a doctoral candidate in Neuroscience with a focus on biochemistry and molecular biology of neurodegenerative diseases at EPFL in Switzerland. To discuss and propose the book for an interview you can reach her at galina.limorenko@epfl.ch. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/neuroscience

Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts: What Makes Machines, Animals, and People Smart? (MIT Press, 2021), Paul Thagard looks at how computers (“bots”) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines—including Watson, AlphaZero, virtual assistants, and self-driving cars—and the most intelligent animals—including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities. Galina Limorenko is a doctoral candidate in Neuroscience with a focus on biochemistry and molecular biology of neurodegenerative diseases at EPFL in Switzerland. To discuss and propose the book for an interview you can reach her at galina.limorenko@epfl.ch. Learn more about your ad choices. Visit megaphone.fm/adchoices

Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts: What Makes Machines, Animals, and People Smart? (MIT Press, 2021), Paul Thagard looks at how computers (“bots”) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines—including Watson, AlphaZero, virtual assistants, and self-driving cars—and the most intelligent animals—including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities. Galina Limorenko is a doctoral candidate in Neuroscience with a focus on biochemistry and molecular biology of neurodegenerative diseases at EPFL in Switzerland. To discuss and propose the book for an interview you can reach her at galina.limorenko@epfl.ch. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts: What Makes Machines, Animals, and People Smart? (MIT Press, 2021), Paul Thagard looks at how computers (“bots”) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines—including Watson, AlphaZero, virtual assistants, and self-driving cars—and the most intelligent animals—including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities. Galina Limorenko is a doctoral candidate in Neuroscience with a focus on biochemistry and molecular biology of neurodegenerative diseases at EPFL in Switzerland. To discuss and propose the book for an interview you can reach her at galina.limorenko@epfl.ch. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/animal-studies

Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts: What Makes Machines, Animals, and People Smart? (MIT Press, 2021), Paul Thagard looks at how computers (“bots”) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines—including Watson, AlphaZero, virtual assistants, and self-driving cars—and the most intelligent animals—including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities. Galina Limorenko is a doctoral candidate in Neuroscience with a focus on biochemistry and molecular biology of neurodegenerative diseases at EPFL in Switzerland. To discuss and propose the book for an interview you can reach her at galina.limorenko@epfl.ch. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science

Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts: What Makes Machines, Animals, and People Smart? (MIT Press, 2021), Paul Thagard looks at how computers (“bots”) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines—including Watson, AlphaZero, virtual assistants, and self-driving cars—and the most intelligent animals—including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities. Galina Limorenko is a doctoral candidate in Neuroscience with a focus on biochemistry and molecular biology of neurodegenerative diseases at EPFL in Switzerland. To discuss and propose the book for an interview you can reach her at galina.limorenko@epfl.ch. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts: What Makes Machines, Animals, and People Smart? (MIT Press, 2021), Paul Thagard looks at how computers (“bots”) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines—including Watson, AlphaZero, virtual assistants, and self-driving cars—and the most intelligent animals—including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities. Galina Limorenko is a doctoral candidate in Neuroscience with a focus on biochemistry and molecular biology of neurodegenerative diseases at EPFL in Switzerland. To discuss and propose the book for an interview you can reach her at galina.limorenko@epfl.ch. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Links ReferencedAmerican Isn't split in half, its divided into four by Caroline Mimbs Nyce https://www.theatlantic.com/newsletters/archive/2021/06/america-isnt-split-in-half-its-divided-into-four/619138/QuotationsThis new-synthesis view of morality has four basic elements: (1) a Humean mind-focused sentimentalism, (2) a Darwinian evolutionary account of why the mind has the traits it does, (3) a human interest–based utilitarianism about morality, all embedded within (4) a strident naturalism committed to empirical study of the world. (Science and the Good, 86, 87)Innovations in neuroscience are important because they help us answer basic questions about morality, namely why you might be concerned with the goals and well-being of people besides yourself. In the new moral science, it turns out that people “have special kinds of neural populations that make concern for others very natural.” (Ibid. Later quotation from Paul Thagard, Ther Brain and the Meaning of Life (Princeton University Press, 2010)The moral law is not imposed from above or derived from well-reasoned principles; rather, it arises from ingrained values that have been there since the beginning of time. The most fundamental one derives from the survival value of group life.Frans de Waal, The Bonobo and the Atheist (New Yokr: W.W. Norton and Company, 2013), 228. Quoted in S&G, 88.Once ethics is viewed as a social technology, directed at particular functions, recognizable facts about how those functions can be better served can be adduced in inferences justifying ethical novelties.Kitcher, “Naturalistic Ethics without Fallacies,” Preludes to Pragmatism: Toward a Reconstruction of Philosophy (New York: Oxford University Press, 2012,) 315. Quoted in S&G, 90.One strain of naturalism seeks to provide empirical explanations for all of reality by fitting it into a domain of interacting physical particles.38 This would render purely metaphysical or transcendent accounts of reality not only unnecessary but unthinkable. S&G, 91, 92.“Level Three” findings would provide scientifically based descriptions of, say, the origins of morality, or the specific way our capacity for moral judgment is physically embodied in our neural architecture, or whether human beings tend to behave in ways we consider moral. Evidence for these sorts of views doesn't tell us anything about the content of morality—what is right and wrong—but they speak to the human capacity for morality and in that sense are interesting. (S&G, 100.)

Over the next two episodes, April explains the connection between trust and critical thinking. In Part I, she discusses the importance of interpersonal trust, why it's so necessary, what can go wrong when we trust, and ways to avoid putting our trust in the wrong people. And she uses both "who do you trust (because it just seems right)" and "whom do you trust (because it's probably grammatically correct)" in the episode. Hey, she's not an English teacher, okay? Episode 18 Show NotesDr. Paul Thagard's definition of trust:https://www.psychologytoday.com/us/blog/hot-thought/201810/what-is-trustAn explanation of semantic pointers:https://www.researchgate.net/publication/332837961_The_Semantic_Pointer_Theory_of_Emotion_Integrating_Physiology_Appraisal_and_ConstructionI'm going to guess that about 80% of the posts here are legit (so take what you read with a grain of salt). Anyway, if even half of them are true, it's still a tragedy:https://www.reddit.com/r/QAnonCasualties/Just a few of Bernie Madoff's more famous victims:https://www.biography.com/news/bernie-madoff-famous-victimsResearch that shows we trust people who think like we do, and distrust those who don't:https://bigthink.com/scotty-hendricks/the-mere-liking-effect-why-you-trust-people-who-are-like-youWe also think the people who look like us are more trustworthy:https://www.sciencedaily.com/releases/2013/11/131107094406.htm#:~:text=When%20a%20person%20is%20deemed,according%20to%20a%20new%20study.&text=FULL%20STORY-,When%20a%20person%20is%20deemed%20trustworthy%2C%20we%20perceive%20that%20person's,study%20published%20in%20Psychological%20ScienceMarsh and Brigg's research on trust and forgiveness:https://link.springer.com/chapter/10.1007/978-1-84800-356-9_2Author, consultant, and business founder Charles Green gives some advice about determining whom to trust:https://www.forbes.com/sites/trustedadvisor/2012/01/03/how-can-you-know-whom-to-trust/?sh=1decb7ca141e Psychologist Melanie Greenburg also has some good advice about trusting people:https://www.psychologytoday.com/us/blog/the-mindful-self-express/201411/5-ways-decide-who-you-can-trust

Paul Thagard,is a philosopher, cognitive scientist, and author of many interdisciplinary books. He is Distinguished Professor Emeritus of Philosophy at the University of Waterloo and a Fellow of the Royal Society of Canada, the Cognitive Science Society, and the Association for Psychological Science. CONNECT WITH PAUL ONLINE Website: https://paulthagard.com/ QUOTES [00:13:55] "The thing about the brain is it's not like a normal computer. We just make one inference at a time. We do this, this, this, this. What the brain does is make these inferences in parallel. " [00:16:40] "That's one of the problems. But there's problems about the past, too. We can always remember how we acted before. We don't always remember what was successful or what wasn't. We often don't learn from our mistakes. So, the past is problematic as well." [00:22:56] "I thought it would be fun to keep track of ways in which people screw up, but it is just a way of putting it in a more amusing form." HIGHLIGHTS FROM THE SHOW [00:01:35] Guest introduction [00:02:34] We learn about Paul's younger years [00:03:01] When you were in high school, what did you think your future would look like? [00:03:50] What kind of philosophy did you start getting into as a 15 year old? [00:04:36] What is the philosophy of science? [00:05:21] How Paul got into cognitive science [00:06:18] What is the difference between a mind a brain? [00:07:09] What's the difference between perception and inference? [00:08:32] How is it possible for the brain to discern that what it's looking at is the one objectively true reality if all we have is our perception of it? [00:09:47] A rundown of the systems in our brain that make emotions possible [00:11:26] How does the brain perceive the body? [00:12:52] How does the brain make decisions? [00:14:58] Why do we get stuck in this analysis paralysis? [00:17:24] Why is it that we don't learn from our past as well as we should? [00:19:44] Why does the brain have trouble conceptualizing probabilities? [00:21:26] Can we “tame” our emotional reactions? [00:24:22] Why is life worth living and what is the meaning of it all? [00:28:14] A question about problem solving [00:30:05] The three aspects of the concept of intelligence. [00:33:59] The kinds of intelligence that contribute to human intelligence. [00:35:17] Growing and developing emotional intelligence [00:37:47] Marvin Minsky and 1978 [00:40:07] The intelligence of recommender systems [00:41:47] How AI falls short of human intelligence [00:44:17] Intelligent animals [00:46:29] The ethics of artificial intelligence [00:51:06] Which AI ethics principle do you think is going to be of most concern to society? [00:53:25] How can we instill human values into AI systems? [00:56:17] It's 100 years in the future, what do you want to be remembered for? [00:57:26] The Random Round Special Guest: Paul Thagard.

Le métier de UX Designer est la convergence de deux métiers : Ergonome et Designer graphique. Je vous propose un ensemble de quatre podcasts (#09-10-11 et 12) dans lesquels je vais vous exposer un aperçu des différents modèles théoriques psychologiques sur lesquels reposent l'ergonomie. Dans le dernier épisode de cette série, je vous parle du connexionnisme et de l'énaction. Références de livres : En savoir plus sur le connexionnisme : Mental Leaps : Analogy in Creative Tought de Keith James Holyoak et Paul Thagard. En savoir plus sur l'énaction : Enaction Toward a New Paradigm for Cognitive Science de John Stewart, Olivier Gapenne, Ezequiel A. Di Paolo et co.

In this episode, Dr. Paul Thagard, a philosopher, cognitive scientist, and author of several interdisciplinary books returns to discuss the ethical questions around Universal Basic Income (UBI) and the growing Artificial Intelligence (AI) impact on the economy and jobs. Information on Dr. Thagard’s work, including his most recent book series titled “Treatise on Mind and Society”, can be found at https://paulthagard.com. Episode music was recorded using a drum-less track from www.seanlang.com.

In this episode, we have Dr. Paul Thagard.  Dr. Thagard is a philosopher, cognitive scientist, and author of several interdisciplinary books. He is Distinguished Professor Emeritus of Philosophy at the University of Waterloo and a Fellow of the Royal Society of Canada, the Cognitive Science Society, and the Association for Psychological Science.   In our discussion, we dig into whether animals feel grief, the emotions and consciousness of machines and whether the ethical implications of human decisions translate into those of systems bound by silicon. Dr. Thagard’s work and contact information can be found at https://paulthagard.com. The Unlatched Mind Podcast is a long-form discussion on topics including neuroscience, morality, behavioral science, religion, and artificial intelligence.  Host Vinny Vallarine introduces listeners to guests and experts on these, and other topics of interest.  You can find all episodes at https://unlatchedmind.com. The intro and outro music for this episode was recorded with live drums over a drum-less track from www.seanlang.com.  If you’re a drummer, I highly recommend checking out Sean’s drum-less tracks!

In 1988 I broadcast a series of programs called “Literacy: The Medium and the Message”which I have already posted on this site. The series explored the latest scholarship on a theme first broached at the University of Toronto by Harold Innis: how the techniques by which we communicate shape the way we think about the world. It was recorded at a conference organized by two University of Toronto professors, David Olson and Derrick de Kerckhove, and held at the University of Toronto in 1987. Five years later David Olson organized a two-day workshop which posed the topic of modes of thought, or mentalities, in more general terms - looking not just at the cognitive implications of orality and literacy but at all the ways in which our styles and habits of thought are formed. He assembled psychologists, anthropologists, historians and philosopher interested in this question, and, knowing of my continuing interest in the subject, he again invited me to observe and report on the proceeedings. The result was a book called Modes of Thought, edited by David and Nancy Torrance, which was published by Cambridge in 1996, and a series of four radio programs, also called “Modes of Thought” which I broadcast in 1995. Their theme, to say the least, remains current. The participants are as follows: Part One: David Olson, Brian Stock, and Myron TumanPart Two: Jerome Bruner, Carole Feldman, and Keith OatleyPart Three: Geoffrey Lloyd, Paul Thagard, and Deanna KuhnPart Four: Scott Attran and Ian Hacking

Reasoning and inference are not the same, argues Paul Thagard. Reasoning is slow, deliberate, and social, where as inference is fast, automatic, and individual. | Center for Advanced Studies LMU: 06.07.2016 | Speaker: Prof. Paul Thagard, Ph.D. | Moderation: Prof. Clark Chinn, Ph.D.

Reasoning and inference are not the same, argues Paul Thagard. Reasoning is slow, deliberate, and social, where as inference is fast, automatic, and individual. | Center for Advanced Studies LMU: 06.07.2016 | Speaker: Prof. Paul Thagard, Ph.D. | Moderation: Prof. Clark Chinn, Ph.D.

Is love a judgment, a body process, or a cultural interpretation? Emotion theorists dispute whether emotions are cognitive appraisals, responses to physiological changes, or social constructions. That emotions are all of these can be grasped by identifying brain mechanisms for emotions, including representation by groups of spiking neurons, binding of representations into semantic pointers, and competition among semantic pointers. Semantic pointers are patterns of firing in groups of neurons that function like symbols while incorporating sensory and motor information that can be recovered. Emotions are semantic pointers that bind representations of situations, physiology, and appraisal into unified packages that can guide behavior if they outcompete other semantic pointers. Social and linguistic information is incorporated into cognitive appraisal. This view of emotions is supported by computer simulations (using Chris Eliasmith’s Semantic Pointer Architecture) that model dynamic appraisal, embodiment, interaction of physiological input and appraisal, and reasoning about emotions. Unlike traditional theories, the semantic pointer theory of emotion can also explain why people have conscious experiences such as happiness and sadness. Eliasmith, C. (2013). How to build a brain: A neural architecture for biological cognition. Thagard, P., & Schröder, T. (2014). Emotions as semantic pointers: Constructive neural mechanisms. In L. F. Barrett & J. A. Russell (Eds.), The psychological construction of emotions (pp. 144-167). Thagard, P., & Stewart, T. C. (2014). Two theories of consciousness: Semantic pointer competition vs. information integration. Consciousness and Cognition, 30, 73-90.

Theories and Models of Emotion Discussion (February 11, 2016)

In this episode we interview Paul Thagard, professor of philosophy at the University of Waterloo, on his paper: “Why Cognitive Science Needs Philosophy (and Vice Versa).”

We've all heard about scientific revolutions, such as the change from the Ptolemaic geocentric universe to the Copernican heliocentric one. Such drastic changes are the meat-and-potatoes of historians of science and philosophers of science. But another perspective on them is from the point of view of cognition. For example, how do scientists come up with breakthroughs? What happens when a scientist confronts a new theory that conflicts with an established one? In what ways does her belief system change, and what factors can impede her acceptance of the new theory? In his latest book, The Cognitive Science of Science (MIT Press, 2012), Paul Thagard considers the nature of science from this cognitive scientific perspective. Thagard, who is a professor of philosophy at the University of Waterloo, presents a comprehensive view of such aspects of scientific thinking as the process of discovery and creativity, the nature of change in scientific beliefs, and the role of emotions and values in these processes. He defends an explanatory coherence model of belief revision, proposes a model for explaining resistance to new scientific ideas, and even suggests why so much creative thinking goes on in the shower. Learn more about your ad choices. Visit megaphone.fm/adchoices

We’ve all heard about scientific revolutions, such as the change from the Ptolemaic geocentric universe to the Copernican heliocentric one. Such drastic changes are the meat-and-potatoes of historians of science and philosophers of science. But another perspective on them is from the point of view of cognition. For example, how do scientists come up with breakthroughs? What happens when a scientist confronts a new theory that conflicts with an established one? In what ways does her belief system change, and what factors can impede her acceptance of the new theory? In his latest book, The Cognitive Science of Science (MIT Press, 2012), Paul Thagard considers the nature of science from this cognitive scientific perspective. Thagard, who is a professor of philosophy at the University of Waterloo, presents a comprehensive view of such aspects of scientific thinking as the process of discovery and creativity, the nature of change in scientific beliefs, and the role of emotions and values in these processes. He defends an explanatory coherence model of belief revision, proposes a model for explaining resistance to new scientific ideas, and even suggests why so much creative thinking goes on in the shower. Learn more about your ad choices. Visit megaphone.fm/adchoices

We've all heard about scientific revolutions, such as the change from the Ptolemaic geocentric universe to the Copernican heliocentric one. Such drastic changes are the meat-and-potatoes of historians of science and philosophers of science. But another perspective on them is from the point of view of cognition. For example, how do scientists come up with breakthroughs? What happens when a scientist confronts a new theory that conflicts with an established one? In what ways does her belief system change, and what factors can impede her acceptance of the new theory? In his latest book, The Cognitive Science of Science (MIT Press, 2012), Paul Thagard considers the nature of science from this cognitive scientific perspective. Thagard, who is a professor of philosophy at the University of Waterloo, presents a comprehensive view of such aspects of scientific thinking as the process of discovery and creativity, the nature of change in scientific beliefs, and the role of emotions and values in these processes. He defends an explanatory coherence model of belief revision, proposes a model for explaining resistance to new scientific ideas, and even suggests why so much creative thinking goes on in the shower. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

We’ve all heard about scientific revolutions, such as the change from the Ptolemaic geocentric universe to the Copernican heliocentric one. Such drastic changes are the meat-and-potatoes of historians of science and philosophers of science. But another perspective on them is from the point of view of cognition. For example, how do scientists come up with breakthroughs? What happens when a scientist confronts a new theory that conflicts with an established one? In what ways does her belief system change, and what factors can impede her acceptance of the new theory? In his latest book, The Cognitive Science of Science (MIT Press, 2012), Paul Thagard considers the nature of science from this cognitive scientific perspective. Thagard, who is a professor of philosophy at the University of Waterloo, presents a comprehensive view of such aspects of scientific thinking as the process of discovery and creativity, the nature of change in scientific beliefs, and the role of emotions and values in these processes. He defends an explanatory coherence model of belief revision, proposes a model for explaining resistance to new scientific ideas, and even suggests why so much creative thinking goes on in the shower. Learn more about your ad choices. Visit megaphone.fm/adchoices

We've all heard about scientific revolutions, such as the change from the Ptolemaic geocentric universe to the Copernican heliocentric one. Such drastic changes are the meat-and-potatoes of historians of science and philosophers of science. But another perspective on them is from the point of view of cognition. For example, how... Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/systems-and-cybernetics

We’ve all heard about scientific revolutions, such as the change from the Ptolemaic geocentric universe to the Copernican heliocentric one. Such drastic changes are the meat-and-potatoes of historians of science and philosophers of science. But another perspective on them is from the point of view of cognition. For example, how... Learn more about your ad choices. Visit megaphone.fm/adchoices