Martin Davies

Mental simulation is the simulation, replication or re-enactment, usually in imagination, of the thinking, decision-making, emotional responses, or other aspects of the mental life of another person. According to simulation theory, mental simulation in imagination plays a key role in our everyday psychological understanding of other people. The same mental resources that are used in our own thinking, decision-making or emotional responses are redeployed in imagination to provide an understanding of the thoughts, decisions or emotions of another.

In recent years consciousness has become a significant area of study in the cognitive sciences. The Frontiers of Consciousness is a major interdisciplinary exploration of consciousness. The book stems from the Chichele lectures held at All Souls College in Oxford, and features contributions from a 'who's who' of authorities from both philosophy and psychology. The result is a truly interdisciplinary volume, which tackles some of the biggest and most impenetrable problems in consciousness. The book includes chapters considering the apparent explanatory gap between science and consciousness, our conscious experience of emotions such as fear, and of willed actions by ourselves and others. It looks at subjective differences between two ways in which visual information guides behaviour, and scientific investigation of consciousness in non-human animals. It looks at the challenges that the mind-brain relation presents for clinical practice as well as for theories of consciousness. The book draws on leading research from philosophy, experimental psychology, functional imaging of the brain, neuropsychology, neuroscience, and clinical neurology. Distinctive in its accessibility, authority, and its depth of coverage, Frontiers of Consciousness will be a groundbreaking and influential addition to the consciousness literature

In this paper, I define tacit knowledge as a kind of causal-explanatory structure, mirroring the derivational structure in the theory that is tacitly known. On this definition, tacit knowledge does not have to be explicitly represented. I then take the notion of a modular theory, and project the idea of modularity to several different levels of description: in particular, to the processing level and the neurophysiological level. The fundamental description of a connectionist network lies at a level between the processing level and the physiological level. At this level, connectionism involves a characteristic departure from modularity, and a correlative absence of syntactic structure. This is linked to the fact that tacit knowledge descriptions of networks are only approximately true. A consequence is that strict causal systematicity in cognitive processes poses a problem for the connectionist programme

He then argues that (1), (2) and (3) constitute an inconsistent triad as follows (1991, p. 15): Suppose (1) that Oscar knows a priori that he is thinking that water is wet. Then by (2), Oscar can simply deduce E, using premisses that are knowable a priori, including the premiss that he is thinking that water is wet. Since Oscar can deduce E from premisses that are knowable a priori, Oscar can know E itself a priori. But this contradicts (3), the assumption that E cannot be known a priori. Hence (1), (2), and (3) are inconsistent. McKinsey’s conclusion is that ‘anti-individualism is inconsistent with privileged access’ (ibid.)

The question posed by Dunn and Kirsner (D&K) is an instance of a more general one: What can we infer from data? One answer, if we are talking about logically valid deductive inference, is that we cannot infer theories from data. A theory is supposed to explain the data and so cannot be a mere summary of the data to be explained. The truth of an explanatory theory goes beyond the data and so is never logically guaranteed by the data. This is not just a point about cognitive neuropsychology, or even about psychology in general. It is a familiar point about all science

In his paper ‘Scmantic Theory and Tacit Knowlcdgc’, Gareth Evans uscs a familiar kind of cxamplc in ordcr to render vivid his account of tacit knowledge. We arc to consider a finite language, with just one hundrcd scntcnccs. Each scntcncc is made up of a subjcct (a name) and a prcdicatc. The names are ‘a’, ‘b’, . . ., T. The prcdicatcs arc ‘F’, ‘G’, . . ., ‘O’. Thc scntcnccs have meanings which dcpcnd in a systematic way upon their construction. Thus, all scntcnccs containing ‘a’ mean something about john; all scntcnccs containing ‘b’ mean something about Harry; all scntcnccs containing ‘F’ mean something about being bald; all scntcnccs containing ‘G’ mean something about being happy; and so 011. For this vcry simple language L, wc arc to consider various semantic theories. We could consider thcorics whosc dclivcranccs about wholc scntcnccs are of..