Abduction, Deduction, Induction, Analogy, Inquiry • 10

Re: Beyond ExperimentScott Church

Names are not important of course, except for the purpose of communication.  The important thing is for us to distinguish hypothesis formation from hypothesis evaluation.  Now, there happens to be a long tradition of using the word abduction to distinguish that former, most incipient stage of inquiry and I think it serves communication to preserve that tradition.

Concepts, hypotheses, and theories have to be formed, logically speaking, before they can be evaluated.  In complex inquiries extending over long periods of time, formation, evaluation, and re‑formation will of course proceed in cascades of parallel and series operations, but the analytic distinction between elements and mixtures is still worth its salt.

The role of ab‑, de‑, in‑duction in the cycle of inquiry is discussed a bit further in the following article.

Resources

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Abduction, Deduction, Induction, Analogy, Inquiry • 9

Re: Beyond ExperimentScott Church

Let me just say again that abduction is not “inference to the best explanation”.  That gloss derives from a later attempt to rationalize Peirce’s idea and it has led to a whole literature of misconception.  Abduction is more like “inference to any explanation” — or perhaps adapting Kant’s phrase, “conceiving a concept that reduces a manifold to a unity”.  The most difficult part of its labor is delivering a term, very often new or unnoticed, able to serve as a middle term in grasping the structure of an object domain.

Resources

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Abduction, Deduction, Induction, Analogy, Inquiry • 8

Re: Peter WoitBeyond Experiment

I have no horse in this race (cat in this box?) as far as multiverses and polycosmoi go.  I will limit myself to clearing up popular confusions about Peirce’s concept of abductive inference.

Analytic philosophy swayed many people into thinking science could be reduced to purely deductive reasoning, eliminating induction and ignoring abduction, but Peirce was a practicing scientist who worked outside that warp.  In his model of the inquiry process abduction is at root logically prior to any discussion of probabilities, however true it may be that all three modes of inference work in tandem to advance any moderately complex investigation.

The following article has more information on the history and function of abductive inference.

See especially the following sections.

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Abduction, Deduction, Induction, Analogy, Inquiry • 7

Re: Peter WoitBeyond Experiment

The phrase “inference to the best explanation” was coined by Gilbert Harman in his attempt to explain abductive inference but it conveys the wrong impression to anyone who takes it as a substitute for the whole course of inquiry rather than just its starting point.  Peirce himself was always very clear about this.

Bayes’ theorem is a deductive identity which adds no information to the observed data, nor is that its job.  It adds no rows or columns to the matrix of contingencies nor makes the observations populating its cells.  Those are jobs for the independent capacities of abductive and inductive reasoning.

Resources

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Abduction, Deduction, Induction, Analogy, Inquiry • 6

Re: Peter WoitBeyond Experiment

There is a lot of misunderstanding about the requirement of falsifiability.  At root it is simply the idea that an empirical law is not a logical tautology.  I don’t see any reason to dispense with that just yet.  In practice the principle affords us leverage only when we have two or more theories competing to describe the same domain.

Another thing that needs to be understood is that no reasoning from Bayes’ theorem nor any inference from probabilities has anything to do with the initial abduction, which takes us from a state of unquantifiable uncertainty to the first hypothesis of a conceptual framework, model category, or reference class.  It is only after those choices are made that speaking of probabilities becomes possible.

Resources

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Abduction, Deduction, Induction, Analogy, Inquiry • 5

Re: Peter WoitBeyond Experiment

Peirce is simply describing the process by which we seize on an initial hypothesis or model.  That choice will in practice be influenced by all sorts of previous experiences with the phenomenon in question but in principle our choice can be very wild indeed, revealed in a dream or stepping off a bus or whatever it may be.

The only real test of the hypothesis or model comes by way of the deductive consequences following from it and the inductive confirmations or falsifications following those.  The word abduction is a clumsy but traditional translation of Aristotle’s apagoge from Prior Analytics 2.25.

Resources

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Abduction, Deduction, Induction, Analogy, Inquiry • 4

Re: FB | Ecology Of Systems ThinkingSteven Wallis

Peirce sought to understand what all varieties of inquiry, ranging from everyday reasoning and problem solving to full-fledged scientific method, have in common.  Taking a cue from Aristotle he developed a model of inquiry that recognized three independent types of inference — abductive, deductive, inductive.

There is a different type of inferential gap or leap involved in each type of inference.  In the wild, all three types of inference are taking place all the time, interweaving in parallel and series on many fronts at once.  In order of logical priority, however, we usually think of the abductive leap as starting the ball rolling.

Reference

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Abduction, Deduction, Induction, Analogy, Inquiry • 3

Re: R.J. Lipton and K.W. ReganWaves, Hazards, Guesses

Aristotle’s apagoge, variously translated as abduction, reduction, or retroduction, is a form of reasoning common to two types of situations.

Abduction may involve either of the following two operations.

  1. The operation by which a phenomenon (a fact to grasp, to understand) is factored through an explanatory hypothesis, or
  2. The operation by which a problem (a fact to make, to accomplish) is factored through an intermediate construction.

Aristotle gives one example of each type in Prior Analytics 2.25.  There is some discussion at the following location.

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Homunculomorphisms • 2

Re: John BaezThe Internal Model Principle

There’s a far-ranging discussion that takes off from this point, touching on links among analogical reasoning, arrows and functors, cybernetic images, iconic versus symbolic representations, mental models, systems simulations, etc., and just how categorically or contingently those functions are necessary to intelligent agency, all of which questions have enjoyed large and overlapping literatures for a long time now.

It is one question whether a regulator has “knowledge” of the object system and another question whether that knowledge is embodied in the more specific form of a “model”.  At this point we encounter a variety of meanings for the word “model”.  In my experience the meanings divide into two broad classes, “logical models” and “analogical models”.

  • Logical modeling involves a relation between a theory and anything that satisfies the theory, in practice either the original domain of phenomena the theory is created to describe or a formal object we construct to satisfy the theory.
  • Analogical modeling involves a relation between any two things that have similar properties or structures or that satisfy the same theory.

It is possible that a regulator has knowledge, competence, or a capacity for performance that exists in the form of a theory or other data structures without necessarily having either type of model on hand.

There is little doubt that models of either sort are extremely useful when we can get them but there are reasons for thinking that the mirror of nature does not go all the way down to the most primitive structures of adaptive functioning.

Reference

  • Ashby, W.R. (1956), An Introduction to Cybernetics, Chapman and Hall, London, UK.  Republished by Methuen and Company, London, UK, 1964.  Online.
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Homunculomorphisms • 1

Re: John BaezThe Internal Model Principle

Ashby’s book was my own first introduction to cybernetics and I recently returned to his discussion of regulation games in connection with some issues in Peirce’s theory of inquiry.

In that context it appears that the formula \rho \subset [\psi^{-1}(G)]\phi would have to be saying that the Regulator’s good moves are a subset given by applying the portion of the game matrix with goal values in its body to the Disturber’s input.

Excursion

Reference

  • Ashby, W.R. (1956), An Introduction to Cybernetics, Chapman and Hall, London, UK.  Republished by Methuen and Company, London, UK, 1964.  Online.
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