Explanation and categorization: How “why?” informs “what?”

Recent theoretical and empirical work suggests that explanation and categorization are intimately related. This paper explores the hypothesis that explanations can help structure conceptual representations, and thereby influence the relative importance of features in categorization decisions. In particular, features may be differentially important depending on the role they play in explaining other features or aspects of category membership. Two experiments manipulate whether a feature is explained mechanistically, by appeal to proximate causes, or functionally, by appeal to a function or goal. Explanation type has a significant impact on the relative importance of features in subsequent categorization judgments, with functional explanations reversing previously documented effects of ‘causal status’. The findings suggest that a feature’s explanatory importance can impact categorization, and that explanatory relationships, in addition to causal relationships, are critical to understanding conceptual representation.     

Intentional concepts in cognitive neuroscience

In this article, I develop an account of the use of intentional predicates in cognitive neuroscience explanations. As pointed out by Maxwell Bennett and Peter Hacker, intentional language abounds in neuroscience theories. According to Bennett and Hacker, the subpersonal use of intentional predicates results in conceptual confusion. I argue against this overly strong conclusion by evaluating the contested language use in light of its explanatory function. By employing conceptual resources from the contemporary philosophy of science, I show that although the use of intentional predicates in mechanistic explanations sometimes leads to explanatorily inert claims, intentional predicates can also successfully feature in mechanistic explanations as tools for the functional analysis of the explanandum phenomenon. Despite the similarities between my account and Daniel Dennett's intentional-stance approach, I argue that intentional stance should not be understood as a theory of subpersonal causal explanation, and therefore cannot be used to assess the explanatory role of intentional predicates in neuroscience. Finally, I outline a general strategy for answering the question of what kind of language can be employed in mechanistic explanations.     

The economics of paradox: a response to armour-garb

‘Those ice cubes melted because by melting total entropy increased and entropy increase has a very high objective chance.’ What role does the chance in this explanation play? I argue that it contributes to the explanation by entailing that the melting was almost necessary, and defend the claim that the fact that some event was almost necessary can, in the right circumstances, constitute a causal explanation of that event.     

ACTIONS,HABITS AND CONSTITUTION

In this paper I offer a critique of the view made popular by Davidson that rationalization is a species of causal explanation, and propose instead that in many cases the explanatory relation is constitutive. Given Davidson’s conception of rationalization, which allows that a huge range of states gathered under the heading ‘pro attitude’ could rationalize an action, I argue that whilst the causal thesis may have some merit for some such ‘attitudes’, it has none for others. The problematic ‘attitudes’ are those which can be attributed to the agent only on the basis of her history of doing a certain sort of thing. In other words, they are among the agent’s habits. I argue that such temporally extended states cannot be the causes of any present occurrence. Instead, I suggest we should think of the present action as partly constituting the state in question, and give a corresponding interpretation of the explanatory relation. Such explanations invite us to abandon a conception of agency narrowly based on psychology, in favour of an enriched one which takes an agent’s habits to partly constitute the agent.     

Realism,Rational Action,and the Humean Theory of Motivation

Realists about practical reasons agree that judgments regarding reasons are beliefs. They disagree, however, over the question of how such beliefs motivate rational action. Some adopt a Humean conception of motivation, according to which beliefs about reasons must combine with independently existing desires in order to motivate rational action; others adopt an anti-Humean view, according to which beliefs can motivate rational action in their own right, either directly or by giving rise to a new desire that in turn motivates the action. I argue that the realist who adopts a Humean model for explaining rational action will have a difficult time giving a plausible account of the role that desire plays in this explanation. I explore four interpretations of this role and argue that none allows a Humean theory to explain rational action as convincingly as an anti-Humean theory does. The first two models, in different ways, make acting on a reason impossible. The third allows this possibility, but only by positing a reason-sensitive desire that itself demands an explanation. The fourth avoids this explanatory challenge only by retreating to an empty form of the Humean view. In contrast, an anti-Humean theory can provide an intuitively plausible explanation of rational action. I conclude that the realist about reasons should adopt an anti-Humean theory to explain rational action.

Con-reasons and the causal theory of action

A con-reason is a reason which plays a role in motivating and explaining an agent's behaviour, but which the agent takes to count against the course of action taken. Most accounts of motivating reasons in the philosophy of action do not allow such things to exist. In this essay, I pursue two aims. First, I argue that, whatever metaphysical story we tell about the relation between motivating reasons and action, con-reasons need to be acknowledged, as they play an explanatory role not played by pro-reasons (the reason the agent takes to count in favour of the action taken). Second, I respond to an argument recently developed by David-Hillel Ruben to the effect that a causal theory of action – still known as ‘the standard story’ – cannot account for con-reasons. His argument attempts to show that a fundamental principle of the causal theory cannot be reconciled with the role con-reasons play in a certain kind of imagined case. I first argue that a causal theorist is not, in fact, committed to the problematic principle; this argument has an added benefit, since the principle has been taken by many to show that the causal theory generates a puzzle about the possibility of weak-willed action. I then argue that a causal theorist has good reason to reject the possibility of Ruben's imagined cases. If successful, my arguments make clearer the commitments of the causal theory and show that it can accommodate con-reasons in the way I think they ought to be accommodated.     

A mechanistic perspective on canonical neural computation

Although it has been argued that mechanistic explanation is compatible with abstraction (i.e., that there are abstract mechanistic models), there are still doubts about whether mechanism can account for the explanatory power of significant abstract models in computational neuroscience. Chirimuuta has recently claimed that models describing canonical neural computations (CNCs) must be evaluated using a non-mechanistic framework. I defend two claims regarding these models. First, I argue that their prevailing neurocognitive interpretation is mechanistic. Additionally, a criterion recently proposed by Levy and Bechtel to legitimize mechanistic abstract models, and also a criterion proposed by Chirimuuta herself aimed to distinguish between causal and non-causal explanation, can be employed to show why these models are explanatory only under this interpretation (as opposed to a purely mathematical or non-causal interpretation). Second, I argue that mechanism is able to account for the special epistemic achievement implied by CNC models. Canonical neural components contribute to an integrated understanding of different cognitive functions. They make it possible for us to explain these functions by describing different mechanisms constituted by common basic components arranged in different ways.     

Stability,breadth and guidance

Much recent work on explanation in the interventionist tradition emphasizes the explanatory value of stable causal generalizations—i.e., causal generalizations that remain true in a wide range of background circumstances. We argue that two separate explanatory virtues are lumped together under the heading of `stability’. We call these two virtues breadth and guidance respectively. In our view, these two virtues are importantly distinct, but this fact is neglected or at least under-appreciated in the literature on stability. We argue that an adequate theory of explanatory goodness should recognize breadth and guidance as distinct virtues, as breadth and guidance track different ideals of explanation, satisfy different cognitive and pragmatic ends, and play different theoretical roles in (for example) helping us understand the explanatory value of mechanisms. Thus keeping track of the distinction between these two forms of stability yields a more accurate and perspicuous picture of the role that stability considerations play in explanation.     

Hypothetical identities: Explanatory problems for the explanatory argument

Recently, several philosophers have defended an explanatory argument that supposedly provides novel empirical grounds for accepting the type identity theory of phenomenal consciousness. They claim that we are justified in believing that the type identity thesis is true because it provides the best explanation for the correlations between physical properties and phenomenal properties. In this paper, I examine the actual role identities play in science and point out crucial shortcomings in the explanatory argument. I show that the supporters of the argument have failed to show that the identity thesis provides a satisfactory explanation for the correlations between physical and phenomenal properties. Hence, the explanatory argument, as it stands, does not provide new grounds for accepting the type identity theory.     

Scalar implicature and contrastive explanation

I argue for a subsumption of any version of Grice’s first quantity maxim posited to underlie scalar implicature, by developing the idea of implicature recovery as a kind of explanatory inference, as e.g. in science. I take the applicable model to be contrastive explanation, while following van Fraassen’s analysis of explanation as an answer to a why-question. A scalar implicature is embedded in such an answer, one that meets two probabilistic constraints: the probability of the answer, and ‘favoring’. I argue that besides having application at large, outside of linguistic interpretation, these constraints largely account not only for implicatures based on strength order, logical and otherwise, but also for unordered cases. I thus suggest that Grice’s maxim and its descendants are expressions of general explanatory constraints, as they happen to be manifested in this particular explanatory task. I conclude by briefly discussing how I accordingly view Grice’s system outside of scalar implicature.     

Rethinking the explanatory power of dynamical models in cognitive science

In this paper I offer an interventionist perspective on the explanatory structure and explanatory power of (some) dynamical models in cognitive science: I argue that some “pure” dynamical models – ones that do not refer to mechanisms at all – in cognitive science are “contextualized causal models” and that this explanatory structure gives such models genuine explanatory power. I contrast this view with several other perspectives on the explanatory power of “pure” dynamical models. One of the main results is that dynamical models need not refer to underlying mechanisms in order to be explanatory. I defend and illustrate this position in terms of dynamical models of the A-not-B error in developmental psychology as elaborated by Thelen and colleagues, and dynamical models of unintentional interpersonal coordination developed by Richardson and colleagues.     

Causal Explanation and Explanatory Selection

It is observed that in ordinary everyday causal explanations often just one causal factor is mentioned. One causal factor carries the explanatory burden, even if there are several causal factors that are responsible for the event to be explained. This paper deals with the question of how to account for this explanatory selection. I argue for a pragmatic stance towards explanation, that we must attend to the question–answer situation as a whole and the context of the explanation. The context of an explanation includes the inquirer's and the explainer's beliefs and presuppositions relevant for the explanation-seeking question, and these are encoded in a reference class. Furthermore I argue that the explanation-giving answer contains an implicit counterfactual claim, the explanation-giving counterfactual. The solution to the problem of explanatory selection is to be found in the presuppositions encoded by the reference class and the eg-counterfactual. In short we select as explanatory that factor which, together with the presupposition encoded in the reference class we believe will make the eg-counterfactual true. This revised version was published online in June 2006 with corrections to the Cover Date.     

Why inference to the best explanation doesn’t secure empirical grounds for mathematical platonism

Proponents of the explanatory indispensability argument for mathematical platonism maintain that claims about mathematical entities play an essential explanatory role in some of our best scientific explanations. They infer that the existence of mathematical entities is supported by way of inference to the best explanation from empirical phenomena and therefore that there are the same sort of empirical grounds for believing in mathematical entities as there are for believing in concrete unobservables such as quarks. I object that this inference depends on a false view of how abductive considerations mediate the transfer of empirical support. More specifically, I argue that even if inference to the best explanation is cogent, and claims about mathematical entities play an essential explanatory role in some of our best scientific explanations, it doesn’t follow that the empirical phenomena that license those explanations also provide empirical support for the claim that mathematical entities exist.

     

DEFLATIONISM AND THE SUCCESS ARGUMENT

Deflationists about truth typically deny that truth is a causal–explanatory property. However, the now familiar 'success argument' attempts to show that truth plays an important causal–explanatory role in explanations of practical success. Deflationists have standardly responded that the truth predicate appears in such explanations merely as a logical device, and that therefore truth has not been shown to play a causal–explanatory role. I argue that if we accept Jackson and Pettit's account of causal explanations, the standard deflationist response is inconsistent, for on this account even logical properties can be causally explanatory. Therefore the deflationist should remain neutral as to whether truth is a causal–explanatory property, and focus instead on the claim that truth, if it is a property, is a merely logical one.     

A Likely Explanation: IBE as a Guide to Better (but not more probable) Hypotheses

Abstract

Several friends of inference to best explanation have claimed in recent work that explanatory virtues, such as consilience, simplicity and increased precision, play an important heuristic role in assigning probabilities to available hypotheses and that it is this role that justifies continued efforts to investigate the scope, nature and epistemic value of the inference rule. In this paper I argue that understanding explanatory virtues as a guide to probability assignments creates a critical dilemma for advocates of IBE that has not previously been made sufficiently explicit and which has significant implications for the prospects of the rule. I conclude that the viability of IBE requires that explanatory virtues be related to a non-probabilistic conception of success.     

Negative causation in causal and mechanistic explanation

Instances of negative causation—preventions, omissions, and the like—have long created philosophical worries. In this paper, I argue that concerns about negative causation can be addressed in the context of causal explanation generally, and mechanistic explanation specifically. The gravest concern about negative causation is that it exacerbates the problem of causal promiscuity—that is, the problem that arises when a particular account of causation identifies too many causes for a particular effect. In the explanatory context, the problem of promiscuity can be solved by characterizing the phenomenon to be explained as a contrast between two or more events or non-events. This contrastive strategy also can solve other problems that negative causation presents for the leading accounts of mechanistic explanation. Along the way, I argue that to be effective, accounts of causal explanation must incorporate negative causation. I also develop a taxonomy of negative causation and incorporate each variety of negative causation into the leading accounts of mechanistic explanation.     

Explanation and Understanding Revisited: Bohman and the New Philosophy of Social Science

James Bohman has succeeded in reinvigorating the old debate over explanation and understanding by situating it within contemporary discussions about sociological indeterminacy and complexity. I argue that Bohman's preference for a paradigm based on Habermas's theory of communicative action is justifiable given the explanatory deficiencies of ethnomethodological, rational choice, rule-based, and functionalist methodologies. Yet I do not share his belief that the paradigm is preferable to less formalized models of interpretation.     

Right and Wrong Reasons in Folk‐Psychological Explanation

Abstract

Davidson argued that the fact we can have a reason for acting, and yet not be the reason why we act, requires explanation of action in terms of the agent's reasons to be causal. The present paper agrees with Dickenson (Pacific Philosophical Quarterly, 2007) in taking this argument to be an inference to the best explanation. However, its target phenomenon is the very existence of a case in which an agent has more than one reason, but acts exclusively becaue of one reason. Folk psychology appears to allow for this phenomenon. However, appreciation of ‘rationalization’ as a form of contrastive explanation reveals the existence of the Davidsonian possibility to the problematic. Claims that ‘I did it because of R₁, not because of R₂’ are entertained in folk psychology, and may be sincere or insincere. But as reports of conscious practical reasoning, even when sincere, they are not authoritative about the mechanism of motivation.