Dan Sperber

Human, cognition, interaction, and culture are thoroughly intertwined. Without cognition and interaction, there would be no culture. Without culture, cognition and interaction would be very different affairs, as they are among other social species. The effect of culture on mental life has always been a main concern of the social sciences and, after a long period of almost total neglect, it is more and more taken into consideration in cognitive psychology. The effect of cognition, and in particular of the ability to attribute mental states to others, on interaction has become a important topic of investigation in developmental and social psychology. Little attention, on the other hand, is paid to the effect of cognition on culture. All would agree, of course that the human mind is what makes human culture possible. Quite generally, however, the mind is seen as a mere enabler of culture, a pure opportunity with no constraints attached, nothing that might contribute to shaping, or at least to biasing cultural contents. Against this neglect of cognition, I will argue that understanding the mind is doubly important to the study of culture. Psychological considerations are crucial both to a proper characterization of what is cultural and to a proper explanation of cultural phenomena. Most anthropologists may be too savvy to still talk of the mind as a “blank slate”, but they too often meet any discussion of psychological factors in culture with a blank stare. Most evolutionary theorists who see cultural evolution as an analogue of biological evolution by natural selection postulate rather than investigate the few particulars of the human mind..

Communicate. We humans do it all the time, and most of the time we do it as a matter of course, without thinking about it. We talk, we listen, we write, we read - as you are doing now - or we draw, we mimic, we nod, we point, we shrug, and, somehow, we manage to make our thoughts known to one another. Of course, there are times when we view communication as something difficult or even impossible to achieve. Yet, compared to other living kinds, we are amazingly good at it. Other species, if they communicate at all, have a narrow repertoire of signals that they use to convey again..

An understanding of cause--effect relationships is fundamental to the study of cognition. In this book, outstanding specialists from comparative psychology, social psychology, developmental psychology, anthropology, and philosophy present the newest developments in the study of causal cognition and discuss their different perspectives. They reflect on the role and forms of causal knowledge, both in animal and human cognition, on the development of human causal cognition from infancy, and on the relationship between individual and cultural aspects of causal understanding. The result is a state-of-the-art, informative, insightful, and interdisciplinary debate aimed at the non-specialist.

What can be understood of other cultures? And what can we learn about people in general from the study of other cultures? In the three closely related essays that constitute this book and which have already created considerable controversy in their original French versions, and been rewritten and expanded for this edition, Dan Sperber discusses these fundamental issues of anthropology. In the first essay he analyses the way in which anthropology is written and read. In the second, he offers a novel rationalist alternative to cultural relativism, based on both anthropological and psychological arguments, and illustrated by his own fieldwork in Ethiopia. The third essay provides an assessment of the work of Lévi-Strauss, in which the arguments of the previous two essays are linked with an incisive critique of Lévi-Strauss' contribution to the study of cultural variation.

Our book Relevance (Sperber and Wilson 1986) treats utterance interpretation as a two-phase process: a modular decoding phase is seen as providing input to a central inferential phase in which a linguistically encoded logical form is contextually enriched and used to construct a hypothesis about the speaker's informative intention. Relevance was mainly concerned with the inferential phase of comprehension: we had to answer Fodor's challenge that while decoding processes are quite well understood, inferential processes are not only not understood, but perhaps not even understandable (see Fodor 1983). Here we will look more closely at the decoding phase and consider what types of information may be linguistically encoded, and how the borderline between decoding and inference can be drawn. It might be that all linguistically encoded information is cut to a single pattern: all truth conditions, say, or all instructions for use. However, there is a robust intuition that two basic types of meaning can be found. This intuition surfaces in a variety of distinctions: between describing and indicating, stating and showing, saying and conventionally implicating, or between truth-conditional and non-truth-conditional, conceptual and procedural, or representational and computational meaning. In the literature, justifications for these distinctions have been developed in both strictly linguistic and more broadly cognitive terms. The linguistic justification goes as follows (see for example Recanati 1987). Utterances express propositions; propositions have truth conditions; but the meaning of an utterance is not exhausted by its truth conditions, i.e. the truth conditions of the proposition expressed. An utterance not only expresses a proposition but is used to perform a variety of speech acts. It can..

Evolutionary psychology—in its ambitious version well formulated by Cosmides and Tooby (e.g., Cosmides & Tooby 1987, Tooby & Cosmides 1992) —will succeed to the extent that it causes cognitive psychologists to rethink central aspects of human cognition in an evolutionary perspective, to the extent, that is, that psychology in general becomes evolutionary. The human species is exceptional by its massive investment in cognition, and in forms of cognitive activity—language, metarepresentation, abstract thinking—that are as unique to humans as echolocation is unique to bats. The promise of evolutionary psychology is thus to help explain not just traits of human psychology that are homologous to those of many other species, but also traits of human psychology that are genuinely exceptional and that in turn help explain the exceptional character of human culture and ecology. However, most of the work done in evolutionary psychology so far is on aspects of human psychology that are not specifically human except in their details. Showing, for instance, how human preferences in mate choice are fine -tuned in the way the theory of evolution would predict is of great interest (see e.g., Buss 1994) but it can be done on the basis of a relatively shallow psychology. This makes work on distinctly human adaptations involving higher cognition of particular importance for defenders of a psychologically ambitious evolutionary psychology. What is often presented (e.g., Pinker, 1997) as the signal achievement of cognitive evolutionary psychology in this respect is the experimental testing of Cosmides’ (1989) hypothesis that there exists an evolved competence to deal with social contracts, and, in particular to detect cheaters. We want to argue that, because of faulty methodological choices—the quasi-exclusive reliance on the four-cards selection task—, the hypothesis has in fact not yet been tested. The plan of this chapter is as follows: We begin, with a short presentation of Cosmides’s social contract hypothesis, of Wason selection task, and of Cosmides’s reasons to use the task in order to test the theory..

On the relevance-theoretic approach outlined in this paper, linguistic metaphors are not a natural kind, and ―metaphor‖ is not a theoretically important notion in the study of verbal communication. Metaphorical interpretations are arrived at in exactly the same way as literal, loose and hyperbolic interpretations: there is no mechanism specific to metaphors, and no interesting generalisation that applies only to them. In this paper, we defend this approach in detail by showing how the same inferential procedure applies to utterances at both ends of the literal-loose-metaphorical continuum, and how both literal and metaphorical utterances may create poetic effects.

The central problem for pragmatics is that sentence meaning vastly underdetermines speaker’s meaning. The goal of pragmatics is to explain how the gap between sentence meaning and speaker’s meaning is bridged. This paper defends the broadly Gricean view that pragmatic interpretation is ultimately an exercise in mind-reading, involving the inferential attribution of intentions. We argue, however, that the interpretation process does not simply consist in applying general mind-reading abilities to a particular (communicative) domain. Rather, it involves a dedicated comprehension module, with its own special principles and mechanisms. We show how such a metacommunicative module might have evolved, and what principles and mechanisms it might contain.

This paper questions the widespread view that verbal communication is governed by a maxim, norm or convention of truthfulness which applies at the level of what is literally meant, or what is said. Pragmatic frameworks based on this view must explain the frequent occurrence and acceptability of loose and figurative uses of language. We argue against existing explanations of these phenomena and provide an alternative account, based on the assumption that verbal communication is governed not by expectations of truthfulness but by expectations of relevance, raised by literal, loose and figurative uses alike. Sample analyses are provided, and some consequences of this alternative account are explored. In particular, we argue that the notions of ‘literal meaning’ and ‘what is said’ play no useful theoretical role in the study of language use, and that the nature of explicit communication will have to be rethought.

Humans have two kinds of beliefs, intuitive beliefs and reflective beliefs. Intuitive beliefs are a fundamental category of cognition, defined in the architecture of the mind. They are formulated in an intuitive mental lexicon. Humans are also capable of entertaining an indefinite variety of higher‐order or‘reflective’propositional attitudes, many of which are of a credat sort. Reasons to hold reflective beliefs are provided by other beliefs that describe the source of the reflective belief as reliable, or that provide an explicit argument in favour of the reflective belief. The mental lexicon of reflective beliefs includes not only intuitive, but also reflective concepts.

This is the text of the Radcliffe-Brown Lecture in Social Anthopology 1999 (To appear in the Proceedings of the British Academy). In it, I argue that to approach society and culture in a naturalistic way, the domain of the social sciences must be reconceptualised by recognising only entities and processes of which we have a naturalistic understanding. These are mental representations and public productions, the processes that causally link them, the causal chains that bond these links, and the complex webs of such causal chains that criss-cross human populations over time and space. Such causal chains may distribute and stabilise representations and productions throughout a human population, thereby generating culture. The lecture introduces several conceptual tools useful for such a naturalistic approach, and illustrates their use with the case study of ritual activity in a Southern Ethiopian household.

Groups do better at reasoning tasks than individuals, and, in some cases, do even better than any of their individual members. Here is an illustration. In the standard version of Wason selection task (Wason, 1966), the most commonly studied problem in the psychology of reasoning, only about 10% of participants give the correct solution, even though it can be arrived at by elementary deductive reasoning.1 Such poor performance begs for an explanation, and a great many have been offered. What makes the selection task relevant here is that the difference between individual and group performance is striking. Moshman & Geil for instance (1998, see also Maciejovsky & Budescu, 2007) had participants try and resolve the task either individually or in groups of five or six participants. While, unsurprisingly, only 9% of the participants working on their own found the correct solution, an astonishing 70% of the groups did. Moreover, when groups were formed with participants who had first tried to solve the task individually, 80% of the groups succeeded, including 30% of the groups in which none of the members had succeeded on his or her own. How are such differences between individual and group performance to be explained?

When is a conclusion worth deriving? We claim that a conclusion is worth deriving to the extent that it is relevant in the sense of relevance theory (Sperber & Wilson, 1995). To support this hypothesis, we experiment with ''indeterminate relational problems'' where we ask participants what, if anything, follows from premises such as A is taller than B, A is taller than C . With such problems, the indeterminate response that nothing follows is common, and we explain why. We distinguish several types of determinate conclusions and show that their rate is a function of their relevance. We argue that by appropriately changing the formulation of the premises, the relevance of determinate conclusions can be increased, and the rate of indeterminate responses thereby reduced. We contrast these relevance-based predictions with predictions based on linguistic congruence.