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Understanding Abduction

Inference, Perception, and Instinct

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Model-Based Reasoning in Science and Technology

Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics ((SAPERE,volume 8))

Abstract

The status of abduction is still controversial. When dealing with abductive reasoning misinterpretations and equivocations are common. What did Peirce mean when he considered abduction both a kind of inference and a kind of instinct or when he considered perception a kind of abduction? Does abduction involve only the generation of hypotheses or their evaluation too? Are the criteria for the best explanation in abductive reasoning epistemic, or pragmatic, or both? Does abduction preserve ignorance or extend truth or both? To study some of these conundrums and to better understand the concept of abduction, which Hintikka [20] classified the “fundamental problem of contemporary epistemology”, I think that an interdisciplinary effort is needed, at the same time fecundated by a wide philosophical analysis. To this aim I will take advantage of some reflections upon Peirce’s philosophy of abduction that I consider central to highlight the complexity of the concept, too often seen in the partial perspective of limited (even if tremendously epistemologically useful) formal and computational models. I will ponder over some seminal Peircean philosophical considerations concerning the entanglement of abduction, perception, inference, and instinct, which I consider are still important to current cognitive research. Peircean analysis helps us to better grasp how model-based, sentential and manipulative aspects of abduction—I have introduced in my book Abductive Cognition [38]—have to be seen as intertwined, and indispensable for building an acceptable integrated model of abduction. Even if speculative, Peircean philosophical results on abduction certainly anticipate various tenets of recent cognitive research, as I will remark.

Unless man has a natural bent in accordance with nature’s, he has no chance of understanding nature at all.

Charles Sanders Peirce, A Neglected Argument for the Reality of God, 1908.

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Notes

  1. 1.

    I have introduced visual abduction in [34, 35].

  2. 2.

    Cf. [73]. Other considerations on abduction and perception are given in [72].

  3. 3.

    Thagard [69] clearly stresses the central role of the emotion of surprise in finding problems and anomalies in scientific reasoning (and of the emotion of satisfaction caused by a discovery!)

  4. 4.

    Cf. “Pragmatism as the logic of abduction”, in [54, pp. 227–241], the quotation is from footnote 12, pp. 531–532.

  5. 5.

    See below the Appendix: GW and AKM schemas of abduction.

  6. 6.

    It has to be said that some authors (for example [21, p. 280]) contend that, in order to explain abduction as the process of forming an explanatory hypothesis within Peirce’s concept of “logic”, it is necessary to see both sides as coming together.

  7. 7.

    It is well-known that in later writings Peirce seems more inclined to see abduction as both insight and inference.

  8. 8.

    Anderson [4, p. 45] maintains that “Peirce quite explicitly states that abduction is both an insight and an inference. This is a fact to be explained, not to be explained away”. Anderson nicely solves this problem by referring to Peirce’s theory of the three fundamental categories, Firstness, Secondness, and Thirdness: abduction, as a form of reasoning is essentially a third, but it also occurs at the level of Firstness “as a sensuous form of reasoning” (p. 56 ff.).

  9. 9.

    It is interesting to note that recent research on Model Checking in the area of AST (Automated Software Testing) takes advantage of this eco-cognitive perspective, involving the manipulative character of model-based abduction in the practice of adapting, abstracting, and refining models that do not provide successful predictions, cf. [5].

  10. 10.

    On the knowledge enhancing role of abduction in guessing models in science cf. [41].

  11. 11.

    Some acknowledgment of the general contextual character of these kinds of criteria, and a good illustration of the role of coherence, unification, explanatory depth, simplicity, and empirical adequacy in the current literature on scientific abductive best explanation, is given in [32].

  12. 12.

    Stjernfelt [65] provides a full analysis of the role of icons and diagrams in Peircean philosophical and semiotic approach, also taking into account the Husserlian tradition of phenomenology.

  13. 13.

    For example [21, 25].

  14. 14.

    On the contrary, some authors (for example [21, 22, 46]), as [16, p. 594] synthesized, find a central paradox in “[...] that Peirce holds both that hypotheses are the products of a wonderful imaginative faculty in man and that they are product of a certain sort of logical inference”. Furthermore, some commentators seem to maintain that “creative” aspects of abduction would exclusively belong to the perceptual side, as I have already noted above.

  15. 15.

    Cf. the article “The proper treatment of hypotheses: a preliminary chapter, toward an examination of Hume’s argument against miracles, in its logic and in its history” [1901] (in [50, p. 692]).

  16. 16.

    Cf., again, “The proper treatment of hypotheses: a preliminary chapter, toward an examination of Hume’s argument against miracles, in its logic and in its history” (1901) (in [50, p. 692]).

  17. 17.

    Challenges to the modularity hypothesis are illustrated in [42].

  18. 18.

    A full treatment of the problem of perception both from a psychological and neural perspective is available in the recent [59]. A recent rich volume that shows the semi-encapsulated character of perception as illustrated by recent cognitive science results is [1].

  19. 19.

    Evidence on the theory-ladenness of visual perception derived from case-studies in the history of science is illustrated in Brewer and Lambert [10].

  20. 20.

    Cohn et al. [12] propose a cognitive vision system based on abduction and qualitative spatio-temporal representations capable of interpreting the high level semantics of dynamic scenes. Banerjee [7] presents a computational system able to manage events that are characterized by a large number of individual moving elements, either in pursuit of a goal in groups (as in military operations), or subject to underlying physical forces that group elements with similar motion (as in weather phenomena). Visualizing and reasoning about happenings in such domains are treated through a multilayered abductive inference framework where hypotheses largely flow upwards from raw data to a diagram, but there is also a top-down control that asks lower levels to supply alternatives if the higher level hypotheses are not deemed sufficiently coherent.

  21. 21.

    The example of a simple hypothetical organism equipped with two fins and two eyes [66] can explain this link between perception and action in the case of vision: “The right eye was connected to the left fin by a neuron, and the left eye to the right fin. When a prey appears within the field of the right eye, a command is sent to the left fin to instruct it to move. The organism then turns towards the prey, and this orientation is maintained by bilateral activation until the prey is reached. Perception in this primitive organism is not distinct from action” [14, pp. 253–254].

  22. 22.

    Cf. the article “The proper treatment of hypotheses: a preliminary chapter, toward an examination of Hume’s argument against miracles, in its logic and in its history” [1901] (in [50, p. 692]).

  23. 23.

    I have to note that manipulative abduction also happens when we are thinking through doing (and not only, in a pragmatic sense, about doing). This kind of action-based cognition can hardly be intended as completely intentional and conscious.

  24. 24.

    Instinct is of course in part conscious: it is “always partially controlled by the deliberate exercise of imagination and reflection” [49, 7.381].

  25. 25.

    I think some of the ideas of the traditional synechism can be usefully deepened in the framework of current research on the so-called multiple realizability thesis, which admits that mind can be “realized” in several material supports, cf. [8, 64].

  26. 26.

    Cognitive anthropologist Atran advocated a similar view about a century later, arguing in his Cognitive Foundations of Natural History that the evolution of religion and pre-scientific forms of knowledge into fully-blown science could be accounted for just recurring to the concepts of culture and cognition, understanding the latter as “the internal structure of ideas by which the world is conceptualized” [6, p. 3]. Peirce’s philosophical speculations have been recently corroborated by a growing interest in folk science, that is in the study of uneducated expectations about natural aspects such as biology, mechanics, psychology, physiology and so on. Berlin and his colleagues pioneered the exploration of folkbiological expectations across different cultures [9]. The existence of folk science does not make the case for the actuality of a lumen naturalis predisposing humans towards Truth, but for the reality of a penchant (which is also at the level of perception) towards truthfulness: [26] argues that the success of science partially comes from “the ways in which scientists learn to leverage understandings in other minds and to outsource explanatory work through sophisticated methods of deference and simplification of complex systems,” (p. 826) but such ways of relying on other people’s knowledge in order to achieve better approximations of the truth about a matter are actually preexistent in laypeople and children.

  27. 27.

    Cf. Arisbe Website, http://www.cspeirce.com/menu/library/bycsp/l75/ver1/l75v1-01.htm. The passage comes from MS L75 Logic, regarded as semeiotic (The Carnegie application of 1902).

  28. 28.

    Park [48] compares both Peirce’s and my view on instincts and abduction with the estimative power of human and non-human animals, which was one of the internal senses in medieval psychology. In particular he finds amazing analogies with the sophisticated theory of estimative power proposed by Avicenna.

  29. 29.

    For example, in the latest writings at the beginning of XX century Peirce more clearly stresses the instinctual nature of abduction and at the same time its inferential nature [47, p. 150]. On the various approaches regarding perception in Peircean texts cf. [72].

  30. 30.

    Representational delegations are those cognitive acts that transform the natural environment in a cognitive one.

  31. 31.

    Cf. [30, 31, 45]. I have illustrated in detail the concept of cognitive niche in Chap. 6 of [38].

  32. 32.

    This is not a view that conflicts with the idea of God’s creation of human instinct: it is instead meant on this basis, that we can add, with Peirce, the theistic hypothesis, if desired.

  33. 33.

    Of course this conclusion does not mean that artifacts like computers do not or cannot perform abductions. The recent history of artificial intelligence in building systems able to perform diagnoses and creativity clearly illustrates this point.

  34. 34.

    On the role of strategies, plausibility, and economy of research and their relationships with Peircean Grammar, Critic, and Methodeutic cf. [46]. A detailed and in-depth description of these difficult aspects of philosophical and semiotic issues of Peirce’s approach is given in [28].

  35. 35.

    That is Gabbay and Woods Schema.

  36. 36.

    \(K^*\) is an accessible successor of \(K\) to the degree that an agent has the know-how to construct it in a timely way; i.e., in ways that are of service in the attainment of targets linked to \(K\). For example if I want to know how to spell ‘accommodate’, and have forgotten, then my target can’t be hit on the basis of \(K\), what I now know. But I might go to my study and consult the dictionary. This is \(K^*\). It solves a problem originally linked to \(K\).

  37. 37.

    I have shown in this article that, in the case of inner processes in organic agents, this sub-process—here explicitly modeled thanks to a formal schema—is considerably implicit, and so also linked to unconscious ways of inferring, or even, in Peircean terms, to the activity of the instinct [49, 8.223] and of what Galileo called the lume naturale [49, 6.477], that is the innate fair for guessing right. This and other cognitive aspects can be better illustrated thanks to the alternative EC-model model of abduction I have introduced in this article.

  38. 38.

    The classical schematic representation of abduction is expressed by what [17] call AKM-schema, which is contrasted to their own (GW-schema), which I am just explaining in this subsection. For A they refer to Aliseda [2, 3], for K to Kowalski [27], Kuipers [29], and Kakas et al. [23], for M to Magnani [36] and Meheus [43]. A detailed illustration of the AKM schema is given in [Magnani (2009), Chap. 2, Sect. 2.1.3].

  39. 39.

    The target has to be an explanation and \(K(H)\) bears \(R^{pres}\) [that is the relation of presumptive attainment] to \(T\) only if there is a proposition \(V\) and a consequence relation \(\looparrowright \) such that \(K(H) \looparrowright V\), where \(V\) represents a payoff proposition for \(T\). In turn, in this schema explanations are interpreted in consequentialist terms. If \(E\) is an explanans and \(E^{\prime }\) an explanandum the first explains the second only if (some authors further contend if and only if) the first implies the second. It is obvious to add that the AKM schema embeds a D-N (deductive-nomological) interpretation of explanation, as I have already stressed in [36, p. 39].

  40. 40.

    When abduction stops at line 10., the agent is not prepared to accept \(K(H)\), because of supposed adverse consequences.

  41. 41.

    “The action of thought is excited by the irritation of doubt, and ceases when belief is attained; so that the production of belief is the sole function of thought” [53, p. 261].

  42. 42.

    I have analyzed the role of abduction in coalition enforcement, as a cognitive tool of the so-called military intelligence in [39] and, in the case of epistemic warfare, in [40].

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Acknowledgments

For the instructive criticisms and precedent discussions and correspondence that helped me to develop my critique of the ignorance preserving character of abduction, and my analysis of the related model-based aspects, I am indebted and grateful to John Woods, Mauricio Suárez, Shahid Rahman, Alirio Rosales, and Tommaso Bertolotti. In writing the current article, I have excerpted, revised, and integrated some paragraphs of my book Abductive Cognition.

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Appendix: GW and AKM Schemas of Abduction

Appendix: GW and AKM Schemas of Abduction

I have already said that the GW-modelFootnote 35 does a good job in modeling the ignorance-preserving character of abduction and—I am convinced—in designing the correct intellectual framework we should adopt especially when dealing with the problem of abduction as an inference to the best hypothesis/explanation. Following Gabbay and Woods’ contention, it is clear that “[...] abduction is a procedure in which something that lacks epistemic virtue is accepted because it has virtue of another kind” [17, p. 62].

For example: “Let \(S\) be the standard that you are not able to meet (e.g., that of mathematical proof). It is possible that there is a lesser epistemic standard \(S^{\prime }\) (e.g., having reason to believe) that you do meet” [77, Chap. 10]. Focusing attention on this cognitive aspect of abduction, and adopting a logical framework centered on practical agents, Gabbay and Woods [17] contend that abduction (basically seen as a scant-resource strategy, which proceeds in absence of knowledge) presents an ignorance-preserving (or, better, an ignorance mitigating) character. Of course “[...] it is not at all necessary, or frequent, that the abducer be wholly in the dark, that his ignorance be total. It needs not be the case, and typically isn’t, that the abducer’s choice of a hypothesis is a blind guess, or that nothing positive can be said of it beyond the role it plays in the subjunctive attainment of the abducer’s original target (although sometimes this is precisely so)” (cit.). In this perspective, abductive reasoning is a response to an ignorance-problem: one has an ignorance-problem when one has a cognitive target that cannot be attained on the basis of what one currently knows. Ignorance problems trigger one or other of three responses. In the first case, one overcomes one’s ignorance by attaining some additional knowledge (subduance). In the second instance, one yields to one’s ignorance (at least for the time being) (surrender). In the third instance, one abduces [77, Chap. 10] and so has some positive basis for new action even if in the presence of the constitutive ignorance.

From this perspective the general form of an abductive inference can be symbolically rendered as follows. Let \(\alpha \) be a proposition with respect to which you have an ignorance problem. Putting \(T\) for the agent’s epistemic target with respect to the proposition \(\alpha \) at any given time, \(K\) for his knowledge-base at that time, \(K^*\) for an immediate accessible successor-base of \(K\) that lies within the agent’s means to produce in a timely way,Footnote 36 \(R\) as the attainment relation for \(T\), \(\rightsquigarrow \) as the subjunctive conditional relation, \(H\) as the agent’s hypothesis, \(K(H)\) as the revision of \(K\) upon the addition of \(H\), \(C(H)\) denotes the conjecture of \(H\) and \(H^c\) its activation. The general structure of abduction can be illustrated as follows (GW-schema):

1. \(T!\alpha \)

[setting of \(T\) as an epistemic target with respect to a proposition \(\alpha \)]

2. \(\lnot (R(K,T)\)

[fact]

3. \(\lnot (R(K^*,T)\)

[fact]

4. \(H \not \in K\)

[fact]

5. \(H \not \in K^*\)

[fact]

6. \(\lnot R(H,T)\)

[fact]

7. \(\lnot R(K(H),T)\)

[fact]

8. If \(H\) \(\rightsquigarrow \) \(R(K(H),T\))

[fact]

9. \(H\) meets further conditions \(S_1, ....S_n\)

[fact]

10. Therefore, \(C(H)\)

[sub-conclusion, 1–9]

11. Therefore, \(H^c\)

[conclusion, 1–10]

It is easy to see that the distinctive epistemic feature of abduction is captured by the schema. It is a given that \(H\) is not in the agent’s knowledge-set. Nor is it in its immediate successor. Since \(H\) is not in \(K\), then the revision of \(K\) by \(H\) is not a knowledge-successor set to \(K\). Even so, \(H \rightsquigarrow (K(H),T\)). So we have an ignorance-preservation, as required (cf. [77, Chap. 10]).

[Note: Basically, line 9. indicates that \(H\) has no more plausible or relevant rival constituting a greater degree of subjunctive attainment. Characterizing the \(S_i\) is the most difficult problem for abductive cognition, given the fact that in general there are many possible candidate hypotheses. It involves for instance the consistency and minimality constraints.Footnote 37 These constraints correspond to the lines 4 and 5 of the standard AKM schema of abduction,Footnote 38 which is illustrated as follows:

1. \(E\)

2. \(K \not \looparrowright E \)

3. \(H \not \looparrowright E \)

4. \(K(H)\) is consistent

5. \(K(H)\) is minimal

6. \(K(H) \looparrowright E \)

7. Therefore, \(H.\)

  [17, pp. 48–49].

where of course the conclusion operator \(\looparrowright \) cannot be classically interpreted].Footnote 39

Finally, in the GW-schema \(C(H)\) is read “It is justified (or reasonable) to conjecture that \(H\)” and \(H^c\) is its activation, as the basis for planned “actions”.

In sum, in the GW-schema \(T\) cannot be attained on the basis of \(K\). Neither can it be attained on the basis of any successor \(K^*\) of \(K\) that the agent knows then and there how to construct. \(H\) is not in \(K\): \(H\) is a hypothesis that when reconciled to \(K\) produces an updated \(K(H)\). \(H\) is such that if it were true, then \(K(H)\) would attain \(T\). The problem is that \(H\) is only hypothesized, so that the truth is not assured. Accordingly Gabbay and Woods contend that \(K(H)\) presumptively attains \(T\). That is, having hypothesized that \(H\), the agent just “presumes” that his target is now attained. Given the fact that presumptive attainment is not attainment, the agent’s abduction must be considered as preserving the ignorance that already gave rise to her (or its, in the case for example of a machine) initial ignorance-problem. Accordingly, abduction does not have to be considered the “solution” of an ignorance problem, but rather a response to it, in which the agent reaches presumptive attainment rather than actual attainment. \(C(H)\) expresses the conclusion that it follows from the facts of the schema that \(H\) is a worthy object of conjecture. It is important to note that in order to solve a problem it is not necessary that an agent actually conjectures a hypothesis, but it is necessary that she states that the hypothesis is worthy of conjecture.

Finally, considering \(H\) justified to conjecture is not equivalent to considering it justified to accept/activate it and eventually to send \(H\) to experimental trial. \(H^c\) denotes the decision to release \(H\) for further premissory work in the domain of enquiry in which the original ignorance-problem arose, that is the activation of \(H\) as a positive cognitive basis for action. Woods usefully observes:

There are lots of cases in which abduction stops at line 10, that is, with the conjecture of the hypothesis in question but not its activation. When this happens, the reasoning that generates the conjecture does not constitute a positive basis for new action, that is, for acting on that hypothesis. Call these abductions partial as opposed to full. Peirce has drawn our attention to an important subclass of partial abductions. These are cases in which the conjecture of \(H\) is followed by a decision to submit it to experimental test. Now, to be sure, doing this is an action. It is an action involving \(H\) but it is not a case of acting on it. In a full abduction, \(H\) is activated by being released for inferential work in the domain of enquiry within which the ignorance-problem arose in the first place. In the Peircean cases, what counts is that \(H\) is withheld from such work. Of course, if \(H\) goes on to test favourably, it may then be released for subsequent inferential engagement [75].

We have to remember that this process of evaluation and so of activation of the hypothesis, is not abductive, but inductive, as Peirce contended. Woods adds: “Now it is quite true that epistemologists of a certain risk-averse bent might be drawn to the admonition that partial abduction is as good as abduction ever gets and that complete abduction, inference-activation and all, is a mistake that leaves any action prompted by it without an adequate rational grounding. This is not an unserious objection, but I have no time to give it its due here. Suffice it to say that there are real-life contexts of reasoning in which such conservatism is given short shrift, in fact is ignored altogether. One of these contexts is the criminal trial at common law” [75].

In the framework of the GW-schema it cannot be said that testability is intrinsic to abduction, such as it is instead maintained in the case of some passages of Peirce’s writings.Footnote 40 This activity of testing, I repeat, which in turn involves degrees of risk proportioned to the strength of the conjecture, is strictly cognitive/epistemic and inductive in itself, for example an experimental test, and it is an intermediate step to release the abduced hypothesis for inferential work in the domain of enquiry within which the ignorance-problem arose in the first place.

Through abduction the basic ignorance—that does not have to be considered total “ignorance”—is neither solved nor left intact: it is an ignorance-preserving accommodation of the problem at hand, which “mitigates” the initial cognitive “irritation” (Peirce says “the irritation of doubt”).Footnote 41 As I have already stressed, in a defeasible way, further action can be triggered either to find further abductions or to “solve” the ignorance problem, possibly leading to what the “received view” has called the inference to the best explanation (IBE).

It is clear that in the framework of the GW-schema the inference to the best explanation— if considered as a truth conferring achievement justified by the empirical approval—cannot be a case of abduction, because abductive inference is constitutively ignorance-preserving. In this perspective the inference to the best explanation involves the generalizing and evaluating role of induction. Of course it can be said that the requests of originary thinking are related to the depth of the abducer’s ignorance.

In [41] I have extensively analyzed and criticized the ignorance-preserving character of abduction, taking advantage of my eco-cognitive model (EC-model) of abduction and of three examples taken from the areas of both philosophy and epistemology. Indeed, through abduction, knowledge can be enhanced, even when abduction is not considered an inference to the best explanation in the classical sense of the expression, that is an inference necessarily characterized by an empirical evaluation phase, or an inductive phase, as Peirce called it. Hence, abduction is not always ignorance-preserving, but knowledge enhancing.

Finally, let us reiterate a passage taken from Woods’ quotation above: “There are lots of cases in which abduction stops at line 10, that is, with the conjecture of the hypothesis in question but not its activation. When this happens, the reasoning that generates the conjecture does not constitute a positive basis for new action, that is, for acting on that hypothesis”. We do not have to forget that, as I have illustrated in this paper, various ways of positively enhancing knowledge are occurring also in the case of evidentially inert abductions (perception, instinct, scientific models [41], etc.), and very often a human abductive guess is activated and becomes a basis for action even if it has provided absolutely unreliable—if seen in the light of positive rational criteria of acceptation—knowledge. This is the case for example of the role of abductive guesses in the so-called fallacious and other kinds of reasoning, where the simple struggle that is occurring at the level of the so-called coalition enforcement is at stake.Footnote 42

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Magnani, L. (2014). Understanding Abduction. In: Magnani, L. (eds) Model-Based Reasoning in Science and Technology. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37428-9_11

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