Podcasts about inductive reasoning

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Presenting a 2-part special on the topic of logic and fallacies. Here in part 1, we'll be going over what logic is and isn't, why Satanists should care about this topic, and finally an introduction to logical fallacies. Suggested sites: https://infidels.org/library/modern/constructing-a-logical-argument  https://yourlogicalfallacyis.com 00:00 - Intro / Why cover this? 06:05 - Why Logic? 08:51 - Logic intro, what logic isn't, relevance to Satanists 15:40 - What logic is 16:58 - Inductive Reasoning 18:32 - No, it's not faith 21:38 - Inductive Reasoning, continued 26:31 - Deductive reasoning: propositions & premises 32:27 - Deductive reasoning: Inference & conclusion 32:46 - Deductive reasoning: summary / example / set theory & circles 40:55 - Deductive reasoning: result types 44:03 - Fallacies: Intro 50:33 - Fallacies: Straw Man 52:58 - Fallacies: Personal Incredulity 53:38 - Fallacies: Black & White / Hoyle's / Argument from Ignorance 59:06 - Fallacies: Shifting the Burden of Proof

On today's ID the Future biologist Michael Behe and Philosophy for the People host Pat Flynn conclude their conversation (posted by permission here) about some of the best objections to Behe's central case for intelligent design. One objection Behe and Flynn tackle in this episode: the idea of evolution overcoming the irreducible-complexity hurdle through co-option. That is, maybe the precursors to what would become one of today's molecular machines, such as the bacterial flagellum motor, co-opted simpler machines being used for other purposes, allowing evolution to build a bacterial flagellum motor one small step at a time over thousands or millions of generations, even though the completed bacterial flagellum ceases to function at all when just one of its many key parts Read More › Source

On today's ID the Future Lehigh University biologist Michael Behe addresses what Philosophy for the People host Pat Flynn considers some of the best objections to Behe's central intelligent design argument. As far back as the 1996 book Darwin's Black Box, Behe has argued that certain features in biology are irreducibly complex. That is, they require numerous essential parts, each carefully fitted to its task and integrated with the other parts, in order for the molecular machine or system to function at all. Two examples are the bacterial flagellum motor and the blood clotting cascade. Such systems are, in Behe's words, irreducibly complex and could not have arisen through any blind and gradual evolution process. The better explanation for their Read More › Source

When AI is equated with human intelligence, innovation suffers. While artificial intelligence can help to improve our world, many people believe the myth that it can reach beyond the limits of its programming. Andrew McDiarmid, senior fellow at Discovery Institute, discusses the limitations and dangers of AI with Erik Larson, author of the new book The Myth of Artificial Intelligence.… Source

Deductive reasoning is the super power of Sherlock Holmes. It is also, just like bigfoot, largely a myth. You may have a case of having seen ‘a’ bigfoot, and not ‘the’ bigfoot, but I doubt it. Have you ever taken the time to build your deductive skills that you can solve a Rubik’s cube without learning from someone else? Maybe, but you will be the one in a million that did. The human organism seems to rather favor inductive reasoning, which is based on experiences and learning from the past. It happens automatically and is something that can shape future education if we let it.“I am convinced that the act of thinking logically cannot possibly be natural to the human mind. If it were, then mathematics would be everybody's easiest course at school and our species would not have taken several millennia to figure out the scientific method.”― Neil deGrasse TysonReferencesLondon’s Fake HousesPopper's falsifiability principle Get on the email list at thoughtarchitecture.substack.com

Josef Urban is a Principal Researcher at the Czech Institute of Informatics, Robotics, and Cybernetics. His research focuses on artificial intelligence for large-scale computer-assisted reasoning. Josef's PhD thesis is titled "Exploring and Combining Deductive and Inductive Reasoning in Large Libraries of Formalized Mathematics", which he completed in 2004 at Charles University in Prague. We discuss his PhD work on the Mizar Problems for Theorem Proving, machine learning for premise selection, and how it evolved into his recent research. Episode notes: https://cs.nyu.edu/~welleck/episode20.html Follow the Thesis Review (@thesisreview) and Sean Welleck (@wellecks) on Twitter, and find out more info about the show at https://cs.nyu.edu/~welleck/podcast.html Support The Thesis Review at www.patreon.com/thesisreview or www.buymeacoffee.com/thesisreview

Foreshadowed by Critical Thinking Part 1:  Know Thyself, Critical Thinking Part 2, explores the symbiotic relationship between Inductive Reasoning and Deductive Reasoning in a way that only quantum physics can illustrate.  Using the quasi-Inductive, quasi-Deductive critical thinking method, we explore how critical thinkers knew how severe the COVID-19 pandemic would become as early as mid-late January 2020.    Then we'll look into the future with inductive critical thought and discern the nightmarish vision for 2021 and after, also discernible in January 2020, if the pandemic isn't decisively controlled, vis-a-vis:  viral genetic mutation.  And, in the interest of leaving everyone better than I found them, we'll reveal the solution to arresting the spread of the COVID-19 pandemic in a month or less.   Ending the episode on a lighter note, we'll harness the power of inductive critical thought to hunt white collar criminals using Scotty's Warp-Beaming Equation.

In this episode, Socrates and I teach the meaning of critical thought and its central logical foundation:  "Know Thyself"We explore the meaning of "Know Thyself," its application, and examples of critical thought in our quest to experience and re-experience true illumination.  This episode also includes a brief primer on critical thought through inductive and deductive reasoning which will be explored in Critical Thought Part 2:  Inductive Reasoning, and Critical Thought Part 3:  Deductive Reasoning

Finding common factors among different situations. This can evolve over time, discover the mystical benefits of this technique.    Announcements and insights with our newsletter at 9thlimb.com/newsletter

Philosophy of Data Science Series  Session 2: Essential Reasoning Skills for Data Science Episode 3: Intro to Inductive Reasoning for Data Scientists Watch it on...  YouTube: https://youtu.be/lNOUvOUE_KE Podbean: https://podofasclepius.podbean.com/e/philosophy-of-data-science-s02-e03-intro-to-inductive-reasoning-for-data-scientists/ New episodes of the Philosophy of Data Science Series will now be published on Mondays! Today's episode is a short introduction to a fundamental concept. Definitely worth your time! Inductive reasoning is the fundamental challenge to scientific rigor. Induction is baked into methods like K-fold cross validation or generalizing from a sample to a population. However, many statisticians and data scientists are unfamiliar with the term and its implications. Joseph Wu (Brown University) gets us up-to-speed with a 10-minute presentation on the fundamental role of induction in scientific reasoning. You can join our mail list at: https://www.podofasclepius.com/mail-list We're always happy to hear your feedback and ideas - just post it in the YouTube comment section to start a conversation.  Thank you for your time and support of the series!  Outline 0:00 Intro 0:18 Inductive vs Deductive Reasoning 2:35 Overview of Induction, Deduction, and Abduction 3:23 Types of Induction: Everyday Life vs Statistical Generalizations 5:25 Sample to Population Induction 6:48 Population to Individual Induction 9:35 The Problem of Induction 11:52 Induction: Fallible but Powerful

On today's show, Mr. Saunders teaches us about inductive reasoning and the uses of this line of thinking. We also have a great a discussion about the current protests and our thoughts on police tactics and how we move forward. Take a listen and always remember Rockefeller saved the whales!

“Inductive reasoning, on the other hand is not entirely suitable to an understanding of chiropractic. It … #20 Inductive Reasoning Read More » The post #20 Inductive Reasoning appeared first on Trent Scheidecker, DC.

Politics & Philosophy

Brendan discusses the different kinds of reasoning games demand of us, and spends a bit of time thinking about the concept of deductive and inductive reasoning.

Brendan discusses the different kinds of reasoning games demand of us, and spends a bit of time thinking about the concept of deductive and inductive reasoning.

Brendan discusses the different kinds of reasoning games demand of us, and spends a bit of time thinking about the concept of deductive and inductive reasoning.

Brendan discusses the different kinds of reasoning games demand of us, and spends a bit of time thinking about the concept of deductive and inductive reasoning.

Marta Sznajder (University of Groningen/MCMP) gives a talk at the Workshop on Five Years MCMP: Quo Vadis, Mathematical Philosophy? (2-4 June, 2016) titled "Inductive Reasoning with Conceptual Spaces: A Proposal for Analogy". Abstract: In his late work on inductive logic Carnap introduced the conceptual level of representations – i.e. conceptual spaces – into his system. Traditional inductive logic (e.g. Carnap 1950) is a study of inductive reasoning that belongs to the symbolic level of cognitive representation (in the three-level view of representations presented by Gärdenfors (2000)). In the standard, symbolic approach the confirmation functions are functions applied to propositions defined with respect to a particular formal language. In my project I investigate alternative approach that is a step towards modelling inductive reasoning directly on the conceptual spaces: considering probability densities (or distributions) over the set of points in a conceptual space rather than traditional credences over propositions. I will present one way in which analogical effects can enter inductive reasoning, using the tools of Bayesian statistics and building up from Carnap’s idea that analogical dependencies between predicates can be read off conceptual spaces via the distances that encode similarity relations between predicates. I consider a quasi-hierarchical Bayesian model in which the different hypotheses considered by the agent are probability distributions over a one-dimensional conceptual space, representing possible distributions of the particular qualities among a studied population.

Basics of philosophy of science. Definitions and implications of science  for a modern non-academic audience and from a working class perspective. This episode deals with the problem of inductive reasoning.   The post #56: Inductive Reasoning and the Ravens Paradox appeared first on Sand Pebbles Podcast.

Announcements – 2nd Annual Heretic’s Barbecue is advertised, Rational Horizon is on iTunes.  Atheist & Skeptic podcasts. We discuss formal arguments.  In logic and philosophy an argument is more than just an angry exchange of opposing viewpoints.  Instead, it is a more formal method of using language as a way to persuade someone that a … Continue reading "Rational Horizon 04 – Formal arguments, logical fallacies, inductive vs deductive reasoning"

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This is part two of a series about the Trivium Method for self-teaching. Gene Odening will accompany us through the next three episodes. Covered today: -GRAMMAR REVIEW: The effect of grammar is to produce primary, or first-order, knowledge of a subject (19:00) -The utility of mythology and the subjective thought process -Law of Non-Contradiction (38:00) contradictions exist only within the mind of man through the misuse of free will (misinterpretations). Logic is meant to minimize these misinterpretations. -Truth vs belief (41:50) One of the most overused words without an definition attached is "truth" truth: a proposition in correspondence with objective, factual reality (i.e., a conceptual statement with no innate disagreements) -English is a confusing language, denotation and connotation -The 4 components of logic What is reasoning? (53:50) a) The Rules of Deductive Reasoning - mentally taking ideas apart b) The Rules of Inductive Reasoning- mentally putting ideas together c) The Rules of definition - genus and differentia (1:06:00) d) Informal Fallacies overview (1:11:00) -Fallacies of Relevance -Fallacies of Presumption -Fallacies of Ambiguity Look Closer: Trivium and Quadrivium Cliff Notes by Gene Odening by 8thestate Trivium Method of Critical Thinking and Creative Problem Solving by 8thestate Jan Irvin's Site, Trivium Education - http://www.triviumeducation.com/ T&H Trivium Resources - https://www.tragedyandhope.com/trivium/ The Lost Tools of Learning, by Dorothy Sayers - http://www.gbt.org/text/sayers.html Mark Passio, What On Earth Is Happening (11/13/11) - The Trivium - http://www.youtube.com/watch?v=k3d_-_nbbTg Greek Mythology: God and Goddesses - Documentary - http://www.youtube.com/watch?v=Jd3vClVdnRE General Semantics: Alfred Korzybski -- how the nervous system 'abstracts' - http://www.youtube.com/watch?v=BTjwJSE_qvA

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