...the deepest motivation for intentional irrealism derives not from such relatively technical worries about individualism and holism as we.

Sterelny (2003) develops an idealised natural history of folk-psychological kinds. He argues that belief-like states are natural elaborations of simpler control systems, called detection systems, which map directly from environmental cue to response. Belief-like states exhibit robust tracking (sensitivity to multiple environmental states), and response breadth (occasioning a wider range of behaviours). The development of robust tracking and response-breadth depend partly on properties of the informational environment. In a transparent environment the functional relevance of states of the world is directly (...) detectable. Outside transparent environments, selection can favour decoupled representations. Sterelny maintains that these arguments do not generalise to desire. Unlike the external environment, the internal processes of an organism, he argues, are selected for transparency. Parts of a single organism gain nothing from deceiving one another, but gain significantly from accurate signalling of their states and needs. Key conditions favouring the development of belief-like states are therefore absent in the case of desires. Here I argue that Sterelny’s reasons for saying that his treatment of belief does not generalise to motivation (desires, or preferences) are insufficient. There are limits to the transparency that internal environments can achieve. Even if there were not, tracking the motivational salience of external states suggests possible gains for systematic tracking of outcome values in any system in which selection has driven the production of belief-like states. (shrink)

1. Introduction 2. Reward-Guided Decision Making 3. Content in the Model 4. How to Deflate a Metarepresentational Reading Proust and Carruthers on metacognitive feelings 5. A Deflationary Treatment of RPEs? 5.1 Dispensing with prediction errors 5.2 What is use of the RPE focused on? 5.3 Alternative explanations—worldly correlates 5.4 Contrast cases 6. Conclusion Appendix: Temporal Difference Learning Algorithms.

There are monsters that scare children and monsters that scare grownups, and then there are monsters that scare philosophers of mind. This paper is concerned with this third sort of monster, whose primary representative is the zombie—a living being, physically just like a person but lacking consciousness. Though zombies act like normal people and appear to have normal brains, everything is blank inside. Unfortunately, the term ‘zombie’ covers a narrower class of deficits than is convenient, failing to cover apparently normal (...) human beings lacking propositional attitudes. Davidson’s “Swampman” is supposed to be an example of such a creature, so I will dub individuals who are apparently normal but lack all propositional attitudes ‘swampfolk,’ though this is non-standard terminology. In what follows, I will refer to both zombies and swampfolk as ‘monsters,’ and will similarly designate animals lacking in consciousness or propositional attitudes. (shrink)

Sometimes your concept and mine have exactly the same content. When this is so, it is comparatively easy for me to understand what you say when you deploy your concept, for us to disagree, agree, and so on. But what if your concept and mine do not have exactly the same content? This question has occupied a number of philosophers, including Paul Churchland, Jerry Fodor, and Ernie Lepore. This paper develops a novel and rigorous measure of concept similarity, Proportion, such (...) that concepts with different contents but sufficiently high Proportion scores will also conduce to understanding, agreement, and disagreement. (shrink)

The naturalistically inclined philosopher of mind faces two related challenges: show how mental content could be part of the natural world, and show how content can be one of the factors responsible for producing behaviour, that is, show that content is not epiphenomenal. One might pursue the first goal with the intent of showing that mental content is epiphenomenal, but it is more likely that the philosopher concerned with showing how content can be naturalized also expects content to be causally (...) efficacious. Indeed, why pursue the first challenge while holding that content is epiphenomenal? Thus these two challenges overlap: show how content can be naturalized without making content epiphenomenal. (shrink)

I examine the way in which Daniel Dennett (1987, 1995) uses his 'intentional' and 'design' stances to make the claim that intentionality is derived from design. I suggest that Dennett is best understood as attempting to supply an objective, nonintentional, naturalistic rationale for our use of intentional concepts. However, I demonstrate that his overall picture presupposes prior application of the intentional stance in a preconditional, ineliminable,'sense-giving' role. Construed as such, Dennett's account is almost identical to the account of biological teleology (...) offered by Kant in The Critique of Judgement, with the consequence that Dennett's naturalism is untenable. My conclusions lead to doubts concerning the legitimacy of any account attempting to naturalise intentionality by extracting normativity from biology and also point to a novel account of biological function. (shrink)

The aim of this paper is to outline a typologyof selection processes, and show that differentsub-categories have different explanatorypower. The basis of this typology of selectionprocesses is argued to be the difference ofreplication processes involved in them. Inorder to show this, I argue that: 1.Replication is necessary for selection and 2.Different types of replication lead todifferent types of selection. Finally, it isargued that this typology is philosophicallysignificant, since it contrasts cases ofselection (on the basis of the replicationprocesses involved in them) (...) whereby selectioncauses adaptation – and, therefore, can beused in explanations of the (real or apparent)teleology of Nature – and cases in whichselection lacks such explanatory power. (shrink)

In a recent paper, Gregory defends the claim that a normative reason is a good basis for Φ-ing. He claims that a “basis” is what is commonly known as a motivating reason. By “good” Gregory means good in its attributive sense, as something which is good as a kind. In this paper I argue that it is not plausible that normative reasons are motivating reasons that are good as an instance of their kind. I argue that in order to assess (...) this claim, pace Gregory, we need to know what it is for a motivating reason to be good as a kind. I canvas some potential answers to this question provided by Gregory, first that motivating reasons are things that play a role in a causal structure, and second that motivating reasons are what is believed to be a normative reason. I argue that since neither of these is plausibly good as a kind, we should reject RGB. (shrink)

A widespread concern within philosophy has been, and continues to be, to determine which domains of discourse address real, robust, not‐merely‐deflationary facts, and which do not. But a threat to the legitimacy of this concern is the extreme lack of consensus amongst philosophers on the question of how to tell whether or not a given domain is oriented towards ‘robust reality’. The present paper criticizes Kit Fine’s attempt to settle that question. This discussion is followed by some considerations suggesting that (...) there is no good answer to it, that the notion of ‘robust reality’ is defective and ought to be abandoned. (shrink)

Dobzhansky argued that biology only makes sense if life on earth has a shared history. But his dictum is often reinterpreted to mean that biology only makes sense in the light of adaptation. Some philosophers of science have argued in this spirit that all work in ‘proximal’ biosciences such as anatomy, physiology and molecular biology must be framed, at least implicitly, by the selection histories of the organisms under study. Others have denied this and have proposed non-evolutionary ways in which (...) biologists can frame these investigations. This paper argues that an evolutionary perspective is indeed necessary, but that it must be a forward-looking perspective informed by a general understanding of the evolutionary process, not a backward-looking perspective informed by the specific evolutionary history of the species being studied. Interestingly, it turns out that there are aspects of proximal biology that even a creationist cannot study except in the light of a theory of their effect on future evolution. (shrink)

Some ‘naturalist’ accounts of disease employ a biostatistical account of dysfunction, whilst others use a ‘selected effect’ account. Several recent authors have argued that the biostatistical account offers the best hope for a naturalist account of disease. We show that the selected effect account survives the criticisms levelled by these authors relatively unscathed, and has significant advantages over the BST. Moreover, unlike the BST, it has a strong theoretical rationale and can provide substantive reasons to decide difficult cases. This is (...) illustrated by showing how life-history theory clarifies the status of so-called diseases of old age. The selected effect account of function deserves a more prominent place in the philosophy of medicine than it currently occupies. _1_ Introduction _2_ Biostatistical and Selected Effect Accounts of Function _3_ Objections to the Selected Effect Account _3.1_ Boorse _3.2_ Kingma _3.3_ Hausman _3.4_ Murphy and Woolfolk _4_ Problems for the Biostatistical Account _4.1_ Schwartz _5_ Analysis versus Explication _6_ Explicating Dysfunction: Life History Theory and Senescence _7_ Conclusion. (shrink)

The computational theory of mind construes the mind as an information-processor and cognitive capacities as essentially representational capacities. Proponents of the view claim a central role for representational content in computational models of these capacities. In this paper I argue that the standard view of the role of representational content in computational models is mistaken; I argue that representational content is to be understood as a gloss on the computational characterization of a cognitive process.Keywords: Computation; Representational content; Cognitive capacities; Explanation.

A persistent boast of the historical approach to functions is that functional properties are normative. The claim is that a token trait retains its functional status even when it is defective, diseased, or damaged and consequently unable to perform the relevant task. This is because historical functional categories are defined in terms of some sort of historical success -- success in natural selection, typically -- which imposes a norm upon the performance of descendent tokens. Descendents thus are supposed to perform (...) the associated task even when they cannot. The conceit, then, is that malfunctions are explicable in terms of historical success. The aim of this paper is to challenge this conceit. My thesis is that the historical approach to functions lacks the resources with which to account for the possibility of malfunctions. If functional types are defined in terms of historical success, then tokens that lack the defining property due to defect, and tokens that have lost the defining property due to disease or damage, are excluded from the functional category. Historically based malfunctions, in consequence, are impossible. The historical approach is no better than its non-historical competitors in accounting for the presumed normativity of functional properties. (shrink)