One of the features of John Locke’s moral philosophy is the idea that morality is based on our beliefs concerning the future good. In An Essay Concerning Human Understanding II, xxi, §70, Locke argues that we have to decide between the probability of afterlife and our present temptations. In itself, this kind of decision model is not rare in Early Modern philosophy. Blaise Pascal’s Wager is a famous example of a similar idea of balancing between available options which Marcelo Dascal (...) has discussed in his important 2005 article “The Balance of Reason”. -/- Leibniz, however, was not always satisfied with this kind of simple balancing. In his commentary to Locke’s Essay, Nouveaux essais sur l’entendement humain, II, xxi, §66, he presented an alternative model which is based on an idea of plural, mutually conflicting inclinations. This kind of model, called as vectorial theory of rational decision by Simo Knuuttila, fits well with Leibniz’s theory of the soul where volitions are formed as a kind of compromise between different inclinations to different goods. -/- I will present these two models and show how they illustrate the practical rationality of Locke and Leibniz and how their moral philosophies differ, although being similar in certain respects. The topics include Leibniz’s criticism of Lockean hedonism and the discussion of akratic behaviour in II, xxi of Essay and Nouveaux essais. (shrink)

We introduce a novel experimental paradigm for eliciting metaphoric expressions in spontaneous speech, under controlled conditions. Participants were presented with a pair of words on a PC monitor and were asked to provide a verbal response describing a conceptual relation between the stimuli. The proportion of metaphoric responses depended on the stimuli in a predictable manner. A large proportion of metaphoric responses was obtained for stimuli that were derived from existing metaphors. The chronometric study of metaphor production in this paradigm (...) produced 3 major findings: (a) a figurative-literal difference: responses that included metaphorical expressions showed greater reaction times (RTs) than responses with only literal expressions; (b) familiarity effect: responses that included more-familiar metaphorical expressions showed smaller RTs than responses that included less-familiar metaphorical expressions; (c) degree of metaphoricity effect: responses that included highly metaphorical expressions showed greater RTs than responses that included less metaphorical expressions. We discuss the processing implications of these results. (shrink)

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, focussing on his Principle of Expressibility (PE henceforth). In the first part of the paper, PE is exposed underlining its analyticity (1) and its relevance for the philosophy of language (2), mind (3), society and action (4). 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 (5), and the one between native and type speakers (6). 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 (7), and a complementary Principle of Expression Fallibility is finally proposed (8). (shrink)

Artificial intelligence, conceived either as an attempt to provide models of human cognition or as the development of programs able to perform intelligent tasks, is primarily interested in theuses of language. It should be concerned, therefore, withpragmatics. But its concern with pragmatics should not be restricted to the narrow, traditional conception of pragmatics as the theory of communication (or of the social uses of language). In addition to that, AI should take into account also the mental uses of language (in (...) reasoning, for example) and the existential dimensions of language as a determiner of the world we (and our computers) live in. In this paper, the relevance of these three branches of pragmatics-sociopragmatics, psychopragmatics, and ontopragmatics-for AI are explored. (shrink)

In this paper I argue against a widely accepted model of utterance interpretation, namely the LS model, according to which the literal interpretation of an utterance (the proposition literally expressed by that utterance) must be computed before non-literal interpretations can be entertained. Alleged arguments in favor of this model are shown to be fallacious, counterexamples are provided, and alternative models are sketched.