According to Darwinian thinking, organisms are (for the most part) designed by natural selection, and so are (for the most part) integrated collections of adaptations, where an adaptation is a phenotypic trait that is a specialized response to a particular selection pressure. For animals that make their living in the Arctic, one adaptive problem is how to maintain body temperature above a certain minimum level necessary for survival. Polar bears' thick coats are a response to that selection pressure (surviving in (...) extreme cold). A thick coat makes a positive difference to a polar bear's fitness, since polar bears with very thin coats left fewer offspring than those with thicker coats. The foundational idea ofevolutionary psychologyis that brains are no different from any other organ with an evolutionary function, insofar as brains too are systems shaped by natural selection to solve adaptive problems. Thus brains have a particular functional organization because their behavioural effects tend, or once tended, to help maintain or increase the fitness of organisms with those brains. Prominent evolutionary psychologists (for example: Cosmides and Tooby, 1987; Cosmides and Tooby, 1994 and Symons, 1992) have endorsed the view that the last time any significant modifications were made by natural selection to the human brain's functional architecture, we were hunter-gatherers, inhabiting a world quite different from that which we now inhabit. That world was the Pleistocene epoch, between about 2 million years ago and 10 thousand years ago. On this view, then, the Pleistocene constitutes what evolutionary psychologists often call ourenvironment of evolutionary adaptedness(or EEA), and the information- processing structure and organization of our present-day cognitive architecture is no different from that of our recent huntergatherer ancestors. (shrink)

Organisms change their shape and behavior during ontogenesis in response to incentives—what biologists call “phenotypic plasticity” or what is called here more specifically “behavioral plasticity.” Such plasticity is usually in the direction of enhancing welfare or fitness. In light of basic concepts in economics, such behavioral plasticity is nothing but rationality. Such rationality is not limited to organisms with neural systems. It also characterizes brainless organisms such as plants, fungi, and unicellular organisms. The gist of the article is the distinction (...) between rationality and intelligence. Whereas rationality is ubiquitous in all organisms, intelligence varies in degrees depending on division of labor that may involve the evolution of a neural system. This article aims to defend the universality of rationality—the Organismus oeconomicus hypothesis. It argues that neither the notion of bounded rationality of behavioral economics nor Herbert Simon’s “procedural rationality” can ultimately undermine the Organismus oeconomicus hypothesis. (shrink)

I address the problem of the distinction between semantic and conceptual representations from general considerations about how to distinguish a representational kind. I consider three different ways of telling representational kinds apart – in terms of structure, processing and content – and I examine if semantic representations may constitute a distinct kind with respect to each of them. I argue that the best options for semantic representation to be regarded as a distinct representational kind with respect to each of the (...) three criteria conflict with each other, since it appears respectively as an atomic representation, as a sort of procedural rule or as a structured complex. (shrink)

I address the problem of the distinction between semantic and conceptual representations from general considerations about how to distinguish a representational kind. I consider three different ways of telling representational kinds apart – in terms of structure, processing and content – and I examine if semantic representations may constitute a distinct kind with respect to each of them. I argue that the best options for semantic representation to be regarded as a distinct representational kind with respect to each of the (...) three criteria conflict with each other, since it appears respectively as an atomic representation, as a sort of procedural rule or as a structured complex. (shrink)

This article considers distinct ways of understanding the world, referred to in psychology as functions of consciousness or as cognitive modes, having as the scope of interest epistemology and natural sciences. Inspired by C.G. Jung’s simile of the spectrum, we consider three basic cognitive modes associated to: (R) embodied instinct, experience, and action; (G) reality perception and learning; and (B) concept abstraction, rational thinking, and language. RGB stand for the primary colors: red, green, and blue. Accordingly, a conceptual map between (...) cognitive modes and primary and secondary colors is built based on the physics and physiology of color perception and epistemological characteristics of the aforementioned cognitive modes, leading to logical relations structured as an hexagon of opposition. Finally, this model of cognitive modes is applied to the analysis and interpretation of some important episodes in the historical development of physics and technology. (shrink)

I argue that Evolutionary Psychologists’ notion of adaptationism is closest to what Peter Godfrey-Smith (2001) calls explanatory adaptationism and as a result, is not a good organizing principle for research in the biology of human behavior. I also argue that adopting an alternate notion of adaptationism presents much more explanatory resources to the biology of human behavior. I proceed by introducing Evolutionary Psychology and giving some examples of alternative approaches to the biological explanation of human behavior. Next I characterize adaptation (...) and explain the range of biological phenomena that can count as adaptations. I go onto introduce the range of adaptationist views that have been distinguished by philosophers of biology and lay out explanatory adaptationism in detail. (shrink)

My charge in this chapter is to set out the positive case supporting massively modular models of the human mind.1 Unfortunately, there is no generally accepted understanding of what a massively modular model of the mind is. So at least some of our discussion will have to be terminological. I shall begin by laying out the range of things that can be meant by ‘modularity’. I shall then adopt a pair of strategies. One will be to distinguish some things that (...) ‘modularity’ definitely can’t mean, if the thesis of massive modularity is to be even remotely plausible. The other will be to look at some of the arguments that have been offered in support of massive modularity, discussing what notion of ‘module’ they might warrant. It will turn out that there is, indeed, a strong case in support of massively modular models of the mind on one reasonably natural understanding of ‘module’. But what really matters in the end, of course, is the substantive question of what sorts of structure are adequate to account for the organization and operations of the human mind, not whether or not the components appealed to in that account get described as ‘modules’. So the more interesting question before us is what the arguments that have been offered in support of massive modularity can succeed in showing us about those structures, whatever they get called. (shrink)

When Fodor titled his (1983) book the _Modularity of Mind_, he overstated his position. His actual view is that the mind divides into systems some of which are modular and others of which are not. The book would have been more aptly, if less provocatively, called _The Modularity of Low-Level Peripheral Systems_. High-level perception and cognitive systems are non-modular on Fodor’s theory. In recent years, modularity has found more zealous defenders, who claim that the entire mind divides into highly specialized (...) modules. This view has been especially popular among Evolutionary Psychologists. They claim that the mind is massively modular (Cosmides and Tooby, 1994; Sperber, 1994; Pinker, 1997; see also Samuels, 1998). Like a Swiss Army Knife, the mind is an assembly of specialized tools, each of which has been designed for some particular purpose. My goal here is to raise doubts about both peripheral modularity and massive modularity. To do that, I will rely on the criteria for modularity laid out by Fodor (1983). I will argue that neither input systems, nor central systems are modular on any of these criteria. (shrink)

This book aims to lay bare the logical foundations of tractable reasoning. It draws on Marvin Minsky's seminal work on frames, which has been highly influential in computer science and, to a lesser extent, in cognitive science. Only very few people have explored ideas about frames in logic, which is why the investigation in this book breaks new ground. The apparent intractability of dynamic, inferential reasoning is an unsolved problem in both cognitive science and logic-oriented artificial intelligence. By means of (...) a logical investigation of frames and frame concepts, Andreas devises a novel logic of tractable reasoning, called frame logic. Moreover, he devises a novel belief revision scheme, which is tractable for frame logic. These tractability results shed new light on our logical and cognitive means to carry out dynamic, inferential reasoning. Modularity remains central for tractability, and so the author sets forth a logical variant of the massive modularity hypothesis in cognitive science. (shrink)

According to Darwinian thinking, organisms are designed by natural selection, and so are integrated collections of adaptations, where an adaptation is a phenotypic trait that is a specialized response to a particular selection pressure. For animals that make their living in the Arctic, one adaptive problem is how to maintain body temperature above a certain minimum level necessary for survival. Polar bears' thick coats are a response to that selection pressure . A thick coat makes a positive difference to a (...) polar bear's fitness, since polar bears with very thin coats left fewer offspring than those with thicker coats. The foundational idea of evolutionary psychology is that brains are no different from any other organ with an evolutionary function, insofar as brains too are systems shaped by natural selection to solve adaptive problems. Thus brains have a particular functional organization because their behavioural effects tend, or once tended, to help maintain or increase the fitness of organisms with those brains. Prominent evolutionary psychologists have endorsed the view that the last time any significant modifications were made by natural selection to the human brain's functional architecture, we were hunter-gatherers, inhabiting a world quite different from that which we now inhabit. That world was the Pleistocene epoch, between about 2 million years ago and 10 thousand years ago. On this view, then, the Pleistocene constitutes what evolutionary psychologists often call our environment of evolutionary adaptedness , and the information- processing structure and organization of our present-day cognitive architecture is no different from that of our recent huntergatherer ancestors. (shrink)

The "New Synthesis" in cognitive science is committed to the computational theory of mind (CTM), massive modularity, nativism, and adaptationism. In The mind doesn't work that way , Jerry Fodor argues that CTM has problems explaining abductive or global inference, but that the New Synthesis offers no solution, since massive modularity is in fact incompatible with global cognitive processes. I argue that it is not clear how global human mentation is, so whether CTM is imperiled is an open question. Massive (...) modularity also lacks some of the invidious commitments Fodor ascribes to it. Furthermore, Fodor's anti-adaptationist arguments are in tension with his nativism about the contents of modular systems. The New Synthesis thus has points worth preserving. (shrink)

The "New Synthesis" in cognitive science is committed to the computational theory of mind (CTM), massive modularity, nativism, and adaptationism. In The mind doesn't work that way , Jerry Fodor argues that CTM has problems explaining abductive or global inference, but that the New Synthesis offers no solution, since massive modularity is in fact incompatible with global cognitive processes. I argue that it is not clear how global human mentation is, so whether CTM is imperiled is an open question. Massive (...) modularity also lacks some of the invidious commitments Fodor ascribes to it. Furthermore, Fodor's anti-adaptationist arguments are in tension with his nativism about the contents of modular systems. The New Synthesis thus has points worth preserving. (shrink)

Academic popularizers of the new field of evolutionary psychology make notable appeals to William James to bolster their doctrine. In particular, they cite James’ remark that humans have all the “impulses” animals do and many more besides to shore up their claim that people’s “instincts” account for their flexibility. This essay argues that these scholars misinterpret James on the instincts. Consciousness (which they find inscrutable) explains cognitive flexibility for James. The evolutionary psychologists’ appeal to James is, therefore, unwarranted and, given (...) the conditions relevant to the public and professional audiences they address, also ineffective as a rhetorical tool for enlisting new recruits. (shrink)

recent defence of the massive modularity thesis. However, as this paper seeks to show, there are major flaws in its structure. If construed deductively, it is unsound: modular mental architecture is not necessarily the best architecture, and even if it were, this alone would not show that this architecture evolved. If construed inductively, it is not much more convincing, as it then appears to be too weak to support the kind of modularity Carruthers is concerned with. The upshot of this (...) is that whatever reason we might have for believing that the mind is massively modular, it is not based on the argument from design. Introduction Carruthers’ Argument from Design Modularity and Optimality: Problems for the Deductive Argument from Design Degrees of Modularity: Problems for the Inductive Argument from Design Conclusion CiteULike Connotea Del.icio.us What's this? (shrink)

I critically discuss a recent innovation in the debate surrounding the plausibility of rational choice theory : the appeal to evolutionary theory. Specifically, I assess Gigerenzer and colleagues’ claim that considerations based on natural selection show that, instead of making decisions in a RCT-like way, we rely on ‘simple heuristics’. As I try to make clearer here, though, Gigerenzer and colleagues’ arguments are unconvincing: we lack the needed information about our past to determine whether the premises on which they are (...) built are true—and, hence, we cannot tell whether they, in fact, speak against RCT. (shrink)

Todd TremlinOxford, England: Oxford University Press, 2006256 pages, ISBN: 0195305345 (hbk); $30.00In his autobiography, Darwin describes the erosion of his religious belief as his own personal con...

Samuels and Stich explore the debate over the extent to which ordinary human reasoning and decision making is rational. One prominent cluster of views, often associated with the heuristics and biases tradition in psychology, maintains that human reasoning is, in important respects, normatively problematic or irrational. Samuels and Stich start by sketching some key experimental findings from this tradition and describe a range of pessimistic claims about the rationality of ordinary people that these and related findings are sometimes taken to (...) support. Such pessimistic interpretations of the experimental findings have not gone unchallenged however: Samuels and Stich outline some of the research on reasoning that has been done by evolutionary psychologists and sketch a cluster of more optimistic theses about ordinary reasoning that such psychologists defend. Although Samuels and Stich think that the most dire pronouncements made by writers in the heuristics and biases tradition are unwarranted, they also maintain that the situation is rather more pessimistic than sometimes suggested by evolutionary psychologists. They conclude by defending this “middle way” and sketch a family of “dual processing” theories of reasoning which, they argue, offer some support for the moderate interpretation they advocate. (shrink)

The dominant view in the cognitive science of religion (the ‘Standard Model’) is that religious belief and behaviour are not adaptive traits but rather incidental byproducts of the cognitive architecture of mind. Because evidence for the Standard Model is inconclusive, the case for it depends crucially on its alleged methodological superiority to selectionist alternatives. However, we show that the Standard Model has both methodological and evidential disadvantages when compared with selectionist alternatives. We also consider a pluralistic approach, which holds that (...) religion or various aspects of religion originated as byproducts of evolved cognitive structures but were subsequently co-opted for adaptive purposes. We argue that when properly formulated, the pluralistic approach also has certain advantages over the Standard Model. (shrink)

A number of debates in philosophy of biology and psychology, as well as in their respective sciences, hinge on particular views about the relationship between genotypes and phenotypes. One such view is that the genotype-phenotype relationship is relatively straightforward, in the sense that a genome contains the ?genes for? the various traits that an organism exhibits. This leads to the assumption that if a particular set of traits is posited to be present in an organism, there must be a corresponding (...) number of genes in that organism's genome to account for those traits. This assumption underlies what can be called the ?counting argument,? in which empirical estimates of the number of genes in a genome are used to support or refute particular hypotheses in philosophical debates about biology and psychology. In this paper, we assess the counting argument as it is used in discussions of the alleged massive modularity of the brain, and conclude that this argument cannot be upheld in light of recent philosophical work on gene concepts and empirical work on genome complexity. In doing so, we illustrate that there are those on both sides of the debate about massive modularity who rely on an incorrect view of gene concepts and the nature of the genotype-phenotype relationship. (shrink)

Since social skills are highly significant to the evolutionary success of humans, we should expect these skills to be efficient and reliable. For many Evolutionary Psychologists efficiency entails encapsulation: the only way to get an efficient system is via information encapsulation. But encapsulation reduces reliability in opaque epistemic domains. And the social domain is darkly opaque: people lie and cheat, and deliberately hide their intentions and deceptions. Modest modularity [Currie and Sterelny (2000) Philos Q 50:145–160] attempts to combine efficiency and (...) reliability. Reliability is obtained by placing social skills in un-encapsulated central cognition; efficiency by having the social system sensitive to encapsulated socially tagged cues. In this paper, I argue that this approach fails. I focus on eye-gaze as a plausible example of a socially significant encapsulated cue. I demonstrate contra modest modularity that eye-gaze is subject to influence from central cognition. (shrink)

The literatures on bounded and ecological rationality are built on adaptationism—and its associated modular, cognitivist and computational paradigm—that does not address or explain the evolutionary origins of rationality. We argue that the adaptive mechanisms of evolution are not sufficient for explaining human rationality, and we posit that human rationality presents exaptive origins, where exaptations are traits evolved for other functions or no function at all, and later co-opted for new uses. We propose an embodied reconceptualization of rationality—embodied rationality—based on the (...) reuse of the perception-action system, where many neural processes involved in the control of the sensory-motor system, salient in ancestral environments have been later co-opted to create—by tinkering—high-level reasoning processes, employed in civilized niches. (shrink)

The cognitive neuropsychological understanding of a cognitive system is roughly that of a ‘mental organ’, which is independent of other systems, specializes in some cognitive task, and exhibits a certain kind of internal cohesiveness. This is all quite vague, and I try to make it more precise. A more precise understanding of cognitive systems will make it possible to articulate in some detail an alternative to the Fodorian doctrine of modularity (since not all cognitive systems are modules), but it will (...) also provide a better understanding of what a module is (since all modules are cognitive systems). (shrink)

Evolutionary psychology tends to be associated with a massively modular cognitive architecture. On this framework of human cognition, an assembly of specialized information processors called modules developed under selection pressures encountered throughout the phylogenic history of hominids. The coordinated activity of domain-specific modules carries out all the processes of belief fixation, abstract reasoning, and other facets of central cognition. Against the massive modularity thesis, I defend an account of systemic functional adaptedness, according to which non-modular systems emerged because of adaptive (...) problems imposed by the intrinsic physiology of the evolving human brain. The proposed reformulation of evolutionary theorizing draws from neural network models and Cummins’ (1975) account of systemic functions to identify selection pressures that gave rise to non-modular, domain-general mechanisms in cognitive architecture. (shrink)

Visual imagination (or visualization) is peculiar in being both free, in that what we imagine is up to us, and useful to a wide variety of practical reasoning tasks. How can we rely upon our visualizations in practical reasoning if what we imagine is subject to our whims? The key to answering this puzzle, I argue, is to provide an account of what constrains the sequence in which the representations featured in visualization unfold—an account that is consistent with its freedom. (...) Three different proposals are outlined, building on theories that link visualization to sensorimotor predictive mechanisms (e.g., efference copies, forward models ). Each sees visualization as a kind of reasoning, where its freedom consists in our ability to choose the topic of the reasoning. Of the three options, I argue that the approach many will find most attractive—that visualization is a kind of off-line perception, and is therefore in some sense misrepresentational—should be rejected. The two remaining proposals both conceive of visualization as a form of sensorimotor reasoning that is constitutive of one’s commitments concerning the way certain kinds of visuomotor scenarios unfold. According to the first, these commitments impinge on one’s web of belief from without, in the manner of normal perceptual experience; according to the second, these commitments just are one’s (occurrent) beliefs about such generalizations. I conclude that, despite being initially counterintuitive, the view of visualization as a kind of occurrent belief is the most promising. (shrink)

There is a widespread assumption in cognitive science that there is anintrinsic link between the phenomena of innateness and domain specificity. Many authors seem to hold that given the properties of these two phenomena, it follows that innate mental states are domain-specific, or that domain-specific states are innate. My aim in this paper is to argue that there are no convincing grounds for asserting either claim. After introducing the notions of innateness and domain specificity, I consider some possible arguments for (...) the conclusion that innate cognitive states are domain-specific, or vice versa. Having shown that these arguments do not succeed, I attempt to explicate what I take to be the connection between innateness and domain specificity. I argue that it is simply easier to determine whether and to what extent domain-specific cognitive capacities are innate. That is,the relation between innateness and domain specificity is evidential or epistemic, rather than intrinsic. (shrink)

A fundamental task for any prospective cognitive architecture is information control: routing information to the relevant mechanisms to support a variety of tasks. Jerry Fodor has argued that the Massive Modularity Hypothesis cannot account for flexible information control due to its architectural commitments and its reliance on heuristic information processing. I argue instead that the real trouble lies in its commitment to nativism—recent massive modularity models, despite incorporating mechanisms for learning and self-organization, still cannot learn to control information flexibly enough. (...) After defending this position, I close the paper by discussing wider implications for control and cognitive architecture. (shrink)

Fodor claims that cognitive modules can be thought of as constituting a psychological natural kind in virtue of their possession of most or all of nine specified properties. The challenge to this considered here comes from synaesthesia. Synaesthesia is a type of cross-modal association: input to one sensory modality reliably generates an additional sensory output that is usually generated by the input to a distinct sensory modality. The most common form of synaesthesia manifests Fodor's nine specified properties of modularity, and (...) hence, according to Segal (1997), it should be understood as involving an extra module. Many psychologists believe that synaesthesia involves a breakdown in modularity. After outlining how both theories can explain the manifestation of the nine alleged properties of modularity in synaesthesia, I discuss the two concepts of function which initially motivate the respective theories. I argue that only a teleological concept of function is properly able to adjudicate between the two theories. The upshot is a further application of so-called externalist considerations to mental phenomena. (shrink)

Evolutionary Psychology is based on the idea that the mind is a set of special purpose thinking devices or modules whose domain-specific structure is an adaptation to ancestral environments. The modular view of the mind is an uncontroversial description of the periphery of the mind, the input-output sensorimotor and affective subsystems. The novelty of EP is the claim that higher order cognitive processes also exhibit a modular structure. Autism is a primary case study here, interpreted as a developmental failure of (...) a module devoted to social intelligence or Theory of Mind. In this article I reappraise the arguments for innate modularity of TOM and argue that they fail. TOM ability is a consequence of domain general development scaffolded by early, innately specified, sensorimotor abilities. The alleged Modularity of TOM results from interpreting the outcome of developmental failures characteristic of autism at too high a level of cognitive abstraction. (shrink)

Recent work in cognitive neuroscience on the child's Theory of Mind (ToM) has pursued the idea that the ability to metarepresent mental states depends on a domain-specific cognitive subystem implemented in specific neural circuitry: a Theory of Mind Module. We argue that the interaction of several domain-general mechanisms and lower-level domain-specific mechanisms accounts for the flexibility and sophistication of behavior, which has been taken to be evidence for a domain-specific ToM module. This finding is of more general interest since it (...) suggests a parsimonious cognitive architecture can account for apparent domain specificity. We argue for such an architecture in two stages. First, on conceptual grounds, contrasting the case of language with ToM, and second, by showing that recent evidence in the form of fMRI and lesion studies supports the more parsimonious hypothesis. 1. Theory of Mind, Metarepresentation, and Modularity2. Developmental Components of ToM3. The Analogy with Modularity of Language4. Dissociations without Modules5. The Evidence from Neuroscience6. Conclusion. (shrink)

In evolutionary cognitive archaeology, the school of thought associated with the traditional framework has been deeply influenced by cognitivist intuitions, which have led to the formulation of mentalistic and disembodied cognitive explanations to address the emergence of artifacts within the archaeological record of ancient hominins. Recently, some approaches in this domain have further enforced this view, by arguing that artifacts are passive means to broadcast/perpetuate meanings that are thoroughly internal to the mind. These meanings are conveyed either in the form (...) of a Language of Thought, constituted by sub-personal, content-bearing mental representations, or in that of a natural language. In both cases, however, material culture stands as the physical derivative of computations run over representations, which include abstract concepts, semantic relationships, and meta-representations about intensional states, a conception hereby indicated as “representational apriorism”. In this paper, I will argue that such mentalistic models are plagued by the fundamental problems of content, substance, and origin, which affect the representational substrates required for the production of artifacts. At the same time, these models fail the criterion of minimalism at the crux of conditional cognitive archaeology, because they propose overly costly explanations which are insufficiently constrained by material evidence. An alternative proposal, based on the principles of radical enactive cognitive science, is hereby introduced in order to counter this mentalistic drift. It is concluded that a radical enactive cognitive archaeology is able to dissolve the deep problems confronting the mentalistic paradigm, while providing minimalistic cognitive explanations about the emergence of Paleolithic artifacts. (shrink)

Choice modellers are frequently criticized for failing to provide accurate representations of the neuro-psychological substrates of decisions. Several authors maintain that recent neuro-psychological findings enable choice modellers to overcome this alleged shortcoming. Some advocate a realistic interpretation of neuro-psychological models of choice, according to which these models posit sub-personal entities with specific neuro-psychological counterparts and characterize those entities accurately. In this article, I articulate and defend three complementary arguments to demonstrate that, contrary to emerging consensus, even the best available neuro-psychological (...) models of choice cannot be justifiably given this realistic interpretation. Moreover, I explicate what challenges will continue to hamper neuro-psychological modellers’ attempts to substantiate a realistic interpretation of their models. In doing so, I draw on the literature on scientific modelling to advance the ongoing philosophical discussion concerning the ontological status of the sub-personal entities posited in distinct decision sciences, the resemblance relations that supposedly connect choice models and the neuro-psychological substrates of decisions, and what conditions these models must satisfy to be regarded as realistic representations of their target systems. (shrink)

Do accounts of scientific theory formation and revision have implications for theories of everyday cognition? We maintain that failing to distinguish between importantly different types of theories of scientific inference has led to fundamental misunderstandings of the relationship between science and everyday cognition. In this article, we focus on one influential manifestation of this phenomenon which is found in Fodor's well-known critique of theories of cognitive architecture. We argue that in developing his critique, Fodor confounds a variety of distinct claims (...) about the holistic nature of scientific inference. Having done so, we outline more promising relations that hold between theories of scientific inference and ordinary cognition. (shrink)

Two long-standing arguments in cognitive science invoke the assumption that holistic inference is computationally infeasible. The first is Fodor’s skeptical argument toward computational modeling of ordinary inductive reasoning. The second advocates modular computational mechanisms of the kind posited by Cosmides, Tooby and Sperber. Based on advances in machine learning related to Bayes nets, as well as investigations into the structure of scientific and ordinary information, I maintain neither argument establishes its architectural conclusion. Similar considerations also undermine Fodor’s decades-long diagnosis of (...) artificial intelligence research as confounded by an inability to circumscribe the amount of information relevant to inferential processes. This diagnosis is particularly inapposite with respect to Bayes nets, since one of their strengths as machine learning systems has been their capacity to reason probabilistically about large data sets whose size overwhelms the capacities of individual human reasoners. A general moral follows from these criticisms: Insights into artificial and human cognitive systems are likely to be cultivated by focusing greater attention on the structure and density of connections among items of information that are available to them. (shrink)

Evolutionary psychologists tend to view the mind as a large collection of evolved, functionally specialized mechanisms, or modules. Cosmides and Tooby (1994) have presented four arguments in favor of this model of the mind: the engineering argument, the error argument, the poverty of the stimulus argument, and combinatorial explosion. Fodor (2000) has discussed each of these four arguments and rejected them all. In the present paper, we present and discuss the arguments for and against the massive modularity hypothesis. We conclude (...) that Cosmides and Tooby's arguments have considerable force and are too easily dismissed by Fodor. (shrink)

In this article I argue that evolutionary psychological strategies for making inferences about present-day human psychology are methodologically unsound. Evolutionary psychology is committed to the view that the mind has an architecture that has been conserved since the Pleistocene, and that our psychology can be fruitfully understood in terms of the original, fitness-enhancing functions of these conserved psychological mechanisms. But for evolutionary psychological explanations to succeed, practitioners must be able to show that contemporary cognitive mechanisms correspond to those that were (...) selected for in the environment of evolutionary adaptedness, that these present-day cognitive mechanisms are descended from the corresponding ancestral mechanisms, and that they have retained the functions of the ancestral mechanisms from which they are descended. I refer to the problem of demonstrating that these conditions obtain as “the matching problem,” argue that evolutionary psychology does not have the resources to address it, and conclude that evolutionary psychology, as it is currently understood, is therefore impossible. (shrink)

Two prevailing accounts of the structure of the mind have been provided, respectively, by the Dual System Theory and by the Massive Modularity Hypothesis. It has been claimed, however, that they cannot both be true at the same time, i.e., that they are incompatible and, thus, that one of them must be abandoned. I will offer some arguments to challenge this claim. I will show that a plausible understanding of each theory makes it possible for them both to be true (...) at the same time. Moreover, I will argue that by appealing to each other they can offer a more complete and detailed account of the architecture of the mind. (shrink)

David Buller and Valerie Hardcastle have argued that various discoveries about the genetics and nature of brain development show that most ?central? psychological mechanisms cannot be adaptations because the nature of the contribution from the environment on which they are based shows they are not heritable. Some philosophers and scientists have argued that a strong role for the environment is compatible with high heritability as long as the environment is highly stable down lineages. In this paper I support this view (...) by arguing that the discoveries Buller and Hardcastle refer to either do not show as strong a role for the environment as they suggest, or these discoveries show that the brain's developmental process depends in many cases on input from the environment that is highly stable across generations. (shrink)

I introduce a range of examples of different causal hypotheses about human mate selection. The hypotheses I focus on come from evolutionary psychology, fluctuating asymmetry research and chemical signaling research. I argue that a major obstacle facing an integrated biology of human behavior is the lack of a causal framework that shows how multiple proximate causal mechanisms can act together to produce components of our behavior.

It has been commonplace in epistemology since its inception to idealize away from computational resource constraints, i.e., from the constraints of time and memory. One thought is that a kind of ideal rationality can be specified that ignores the constraints imposed by limited time and memory, and that actual cognitive performance can be seen as an interaction between the norms of ideal rationality and the practicalities of time and memory limitations. But a cornerstone of naturalistic epistemology is that normative assessment (...) is constrained by capacities: you cannot require someone to do something they cannot or, as it is usually put, ought implies can. This much we take to be uncontroversial. We argue that differences in architectures, goals and resources imply substantial differences in capacity, and that some of these differences are ineliminable. It follows that some differences in goals and architectural and computational resources matter at the normative level: they constrain what principles of normative epistemology can be used to describe and prescribe their behavior. As a result, we can expect there to be important epistemic differences between the way brains, individuals, and science work. (shrink)

Jerry Fodor argues that the massive modularity thesis – the claim that (human) cognition is wholly served by domain specific, autonomous computational devices, i.e., modules – is a priori incoherent, self-defeating. The thesis suffers from what Fodor dubs the input problem: the function of a given module (proprietarily understood) in a wholly modular system presupposes non-modular processes. It will be argued that massive modularity suffers from no such a priori problem. Fodor, however, also offers what he describes as a really (...) real input problem (i.e., an empirical one). It will be suggested that this problem is real enough, but it does not selectively strike down massive modularity – it is a problem for everyone. (shrink)

The rise of Bayesianism in cognitive science promises to shape the debate between nativists and empiricists into more productive forms—or so have claimed several philosophers and cognitive scientists. The present paper explicates this claim, distinguishing different ways of understanding it. After clarifying what is at stake in the controversy between nativists and empiricists, and what is involved in current Bayesian cognitive science, the paper argues that Bayesianism offers not a vindication of either nativism or empiricism, but one way to talk (...) precisely and transparently about the kinds of mechanisms and representations underlying the acquisition of psychological traits without a commitment to an innate language of thought. (shrink)

The rise of Bayesianism in cognitive science promises to shape the debate between nativists and empiricists into more productive forms—or so have claimed several philosophers and cognitive scientists. The present paper explicates this claim, distinguishing different ways of understanding it. After clarifying what is at stake in the controversy between nativists and empiricists, and what is involved in current Bayesian cognitive science, the paper argues that Bayesianism offers not a vindication of either nativism or empiricism, but one way to talk (...) precisely and transparently about the kinds of mechanisms and representations underlying the acquisition of psychological traits without a commitment to an innate language of thought. (shrink)