Multiple realizability has recently attractedrenewed attention, for example Bickle, 1998;Bechtel and Mundale, 1999; Bechtel and McCauley,1999; Heil, 1999; and Sober, 1999. Many of thesewriters revisit the topic of multiplerealizability in order to show that someversion of a mind-brain identity theory isviable. Although there is much of value inthese recent explorations, they do not addressthe underlying intuitions that have vexedphilosophers of mind since Hilary Putnamintroduced the concern (1967). I argue that thestandard way of construing multiplerealizability is a much stronger claim thanthat (...) of Putnam's intuition alone. I distinguishfour interpretations of the multiplerealizability intuition. Some commonformulations of multiple realizability arealmost certainly true, while others are not atall plausible. I argue that the plausible formsof multiple realizability do not impugn theprospects for a mind-brain Identity Theory. (shrink)

In creative cognition research, the Romantic view about creative cognition is traditionally rejected in favor of the modern view. The modern view about creative cognition maintains that creativity is neither mysterious nor unintelligible and that it is indeed susceptible to analysis. The paradigmatic objects of analysis in creative cognition research have been creative output and the creative process. The degree of creativity of an output is assessed in accordance with certain criterial definitions. The degree of creativity of a cognitive process (...) is assessed in accordance with certain models of creative cognition, psychometric test measures, and neuroimaging studies that are grounded in certain criteria for assessment. The reliance on criterial definitions and criteria for assessment in analyzing either the creative output or the creative process suggests that creative cognition researchers remain under the sway of the classical, bundles-of-criteria theory of meaning. In this paper, I will critically evaluate the criterial problems that confront both criterial definitions and criteria for assessment before proposing an alternative theory of meaning. (shrink)

A leading contributor to artificial intelligence offers insight into the numerous ways in which the mind works to demonstrate how emotions and feelings are just ...

Winner of the Wolf Prize for his contribution to our understanding of the universe, Penrose takes on the question of whether artificial intelligence will ever ...

It is important to understand that the Turing Test is not, nor was it intended to be, a trick; how well one can fool someone is not a measure of scientific progress. The TT is an empirical criterion: It sets AI's empirical goal to be to generate human-scale performance capacity. This goal will be met when the candidate's performance is totally indistinguishable from a human's. Until then, the TT simply represents what it is that AI must endeavor eventually to accomplish (...) scientifically. (shrink)