The aim of this paper is to discuss a basic assumption tacitly shared by many philosophers of mind and language: that whatever can be meant, can be said. It specifically targets John Searle's account of this idea, focusing on his Principle of Expressibility . In the first part of the paper, PE is exposed underlining its analyticity and its relevance for the philosophy of language , mind , society and action . In the critical part, the notion of Background is (...) taken into account in order to re-evaluate two basic distinctions: the one between sentence and utterance meanings , and the one between native and type speakers . PE is reconsidered in the light of the previous arguments as a methodological strategy that does not prevent uses of language from eventual semantic excesses and deficits , and a complementary Principle of Expression Fallibility is finally proposed. (shrink)

This article presents a sketch of a theory of action. It does so by locating the relation of intention to action -vithin a general theory of Intentionality. It introduces a distinction between ptiorintentions and intentions in actions; the concept of the experience of acting; and the thesis that both prior intentions and intentions in action are causally self-referential. Each of these is independently motivated, but together they allow suggested solutions to several outstanding problems within action theory (deviant causal chains, the (...) accordion effect, basic actions, etc.); the demonstration of striking similarities between the logical structure of intentional action and the logical structure of perception; and the construction of an account of simple actions. A successfully performed intentional action characteristically consists of an intention in action together with the bodily movement or state of the agent which is its condition of satisfaction and which is caused by it. The account is extended to complex actions. (shrink)

What psychological and philosophical significance should we attach to recent efforts at computer simulations of human cognitive capacities? In answering this question, I find it useful to distinguish what I will call "strong" AI from "weak" or "cautious" AI. According to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion. (...) But according to strong AI, the computer is not merely a tool in the study of the mind; rather, the appropriately programmed computer really is a mind, in the sense that computers given the right programs can be literally said to. (shrink)

The orthodox view in the study of representation is that a strictly third-person objective methodology must be employed. The acceptance of this methodology is shown to be a fundamental and debilitating error. Toward this end I defend what I call.