In a recent survey of contemporary philosophy of emotion, Ronald de Sousa states that "in recent years … emotions have once again become the focus of vigorous interest in philosophy, as well as in other branches of cognitive science" (de Sousa 2003, 1). He then goes on to make the important observation that "in view of the proliferation of increasingly fruitful exchanges between researchers of different stripes, it is no longer useful to speak of the philosophy of emotion in isolation (...) from the approaches of other disciplines, particularly psychology, neurology and evolutionary biology" (de Sousa 2003, 1). This last remark is particularly apt in the case of a topic like modularity and emotion, which represents an ideal opportunity for reflecting on the emerging alliance between the philosophy of emotion and emotion science. In addition to being interesting in its own right, the topic also illustrates some of the perils associated with the new alliance, as different academic traditions must adapt to interdisciplinary dialogue... (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)

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)

I argue that we sometimes visually perceive the intentions of others. Just as we can see something as blue or as moving to the left, so too can we see someone as intending to evade detection or as aiming to traverse a physical obstacle. I consider the typical subject presented with the Heider and Simmel movie, a widely studied ‘animacy’ stimulus, and I argue that this subject mentally attributes proximal intentions to some of the objects in the movie. I further (...) argue that these attributions are unrevisable in a certain sense and that this result can be used to as part of an argument that these attributions are not post-perceptual thoughts. Finally, I suggest that if these attributions are visual experiences, and more particularly visual illusions, their unrevisability can be satisfyingly explained, by appealing to the mechanisms which underlie visual illusions more generally. (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)

How many emotions are there? Should we accept as overwhelming the evidence in favour of regarding emotions as emanating from a relatively small number of modules evolved efficiently to serve us in common life situations? Or can emotions, like colour, be organized in a space of two, three, or more dimensions defining a vast number of discriminable emotions, arranged on a continuum, on the model of the colour cone?There is some evidence that certain emotions are specialized to facilitate certain response (...) sequences, relatively encapsulated in their neurophysiological organization. These are natural facts. But nature, as Katherine Hepburn remarked to Humphrey Bogart, is what we were put in the world to rise above. I shall suggest that we can consider the question not merely from a scientific point of view, but from a political point of view. And so I will try to explain how to reconcile the evidence of emotional modularity - which, as some of the contributions to the present volume illustrate, is not devoid of a certain ambiguity - with a reasonable plea for an attitude of disapproval towards the rigidities of our taxonomy. (shrink)

Evolutionary Psychology (EP) tends to be associated with a Massively Modular (MM) cognitive architecture. I argue that EP favors a non-MM cognitive architecture. The main point of dispute is whether central cognition, such as abstract reasoning, exhibits domain-general properties. Partisans of EP argue that domain-specific modules govern central cognition, for it is unclear how the cognitive mind could have evolved domain-generality. In response, I defend a distinction between exogenous and endogenous selection pressures, according to which exogenous pressures tend to select (...) for domain-specificity, whereas the latter, endogenous pressures, select in favor of domain-generality. I draw on models from brain network theory to motivate this distinction, and also to establish that a domain-general, non-MM cognitive architecture is the more parsimonious adaptive solution to endogenous pressures. (shrink)

The article reviews Christopher Hitchcock’s Contemporary Debates in Philosophy of Science, aims to present contemporary issues in philosophy of science through a series of eight debates between leading analytic philosophers in the given specialist field. Each contributor argues for or against a proposed motion of the debate, ranging from issues of metaphysics and epistemology of science to specific philosophical questions in physics, biology and psychology. In that they draw on a wealth of techniques from the practice of philosophy of science (...) from conceptual clarifications to invocation of examples from scientific practice. Nonethless, against the background of philosophical work associated with contemporary scientific practice the topics selected for this volume seem limited in both depth and scope. The volume’s great worth is in presenting ‘philosophy of science in action’ by exercising many tricks of the trade in several self-contained chapters. (shrink)

Cognitive modules are internal mental structures. Some theorists and empirical researchers hypothesize that the human mind is either partially or massively comprised of structures that are modular in nature. Modules are also invoked to explain cognitive capacities associated with the performance of specific functional tasks. Jerry Fodor considered that modules are useful only for explaining relatively low-level systems. These are the systems involved in capacities like perception and language. For Fodor, the central systems of mind — those involved in capacities (...) like judgment, planning, decision-making, and so forth — are not explainable in terms of modular mechanisms. However, some other philosophers as well as proponents and practitioners of evolutionary psychology consider that it is sensible — and even necessary — to invoke modules for explaining these systems, too. Indeed, the debate over modularity is mainly a debate over the modularity of central systems. Admittedly, it is also possible to raise doubts about the modularity of peripheral systems, but this kind of skepticism is not widespread in the literature. In contrast, both the empirical and the theoretical cases in favor of central modularity are usually contested on multiple fronts and in tough terms. The case for the modularity of central systems is the core of the case for the massive modularity of mind hypothesis. Granted, the massive modularity of mind hypothesis is an empirical statement and, as such, its truth should be ultimately decided in an empirical way, not a priori. Nonetheless, much of the debate over massive modularity has taken place on theoretical grounds. This is due to an alleged underdetermination of the hypotheses regarding the modularity of central systems by data. In such conditions, the remaining open option has been to advance theoretical considerations in favor of the plausibility — and not directly in favor of the empirical truth or truthlikeness — of the massive modularity of mind generally, and of the modularity of some central systems in particular. These theoretical considerations are mostly based on an adaptationist view of evolution cum a classical computationalist approach to mind. They include arguments about the nature and evolution of hierarchically ordered complex systems, a presumption of optimality expressed in the apparent design of phenotypic traits shaped by natural selection and dismissing nonmodular mental architectures as computationally intractable. Is the massive modularity of mind hypothesis a cogent view about the ontological nature of human mind or is it, rather, an effective/ineffective adaptationist discovery heuristic for generating predictively successful hypothesis about both heretofore unknown psychological traits and unknown properties of already identified psychological traits? Considering the inadequacies of the case in favor of massive modularity as an ontological hypothesis, I suggest approaching and valuing massive modularity as an adaptationist discovery heuristic. (shrink)