Semantics and the Computational Paradigm in Cognitive Psychology

There is a prevalent notion among cognitive scientists and philosophers of mind that computers are merely formal symbol manipulators, performing the actions they do solely on the basis of the syntactic properties of the symbols they manipulate. This view of computers has allowed some philosophers to divorce semantics from computational explanations. Semantic content, then, becomes something one adds to computational explanations to get psychological explanations. Other philosophers, such as Stephen Stich, have taken a stronger view, advocating doing away with semantics entirely. This paper argues that a correct account of computation requires us to attribute content to computational processes in order to explain which functions are being computed. This entails that computational psychology must countenance mental representations. Since anti-semantic positions are incompatible with computational psychology thus construed, they ought to be rejected. Lastly, I argue that in an important sense, computers are not formal symbol manipulators

Excellent Beauty: The Naturalness of Religion and the Unnaturalness of the World

Flipping convention on its head, Eric Dietrich argues that science uncovers awe-inspiring, enduring mysteries, while religion, regarded as the source for such mysteries, is a biological phenomenon. Just like spoken language, Dietrich shows that religion is an evolutionary adaptation. Science is the source of perplexing yet beautiful mysteries, however natural the search for answers may be to human existence. _Excellent Beauty_ undoes our misconception of scientific inquiry as an executioner of beauty, making the case that science has won the battle with religion so thoroughly it can now explain why religion persists. The book also draws deep lessons for human flourishing from the very existence of scientific mysteries. It is these latter wonderful, completely _public_ truths that constitute some strangeness in the proportion, revealing a universe worthy of awe and wonde

Do language change rates depend on population size?

An earlier study (Nettle 1999b) concluded, based on computer simulations and some inferences from empirical data, that languages will change the more slowly the larger the population gets. We replicate this study using a more complete language model for simulations (the Schulze model combined with a Barabasi-Albert net- work) and a richer empirical dataset (the World Atlas of Language Structures edited by Haspelmath et al. 2005). Our simulations show either a weak or stronger dependence of language change on population sizes depending on the parameter settings, and empirical data, like some of the simulations, show a weak dependence.Comment: 20 pages including all figures for a linguistic journa

Equivalence of the Frame and Halting Problems

The open-domain Frame Problem is the problem of determining what features of an open task environment need to be updated following an action. Here we prove that the open-domain Frame Problem is equivalent to the Halting Problem and is therefore undecidable. We discuss two other open-domain problems closely related to the Frame Problem, the system identification problem and the symbol-grounding problem, and show that they are similarly undecidable. We then reformulate the Frame Problem as a quantum decision problem, and show that it is undecidable by any finite quantum computer

Moral treatment for all

There is no way to include invertebrates within the moral sphere without being “extreme” — to use Mikhalevich & Powell’s term. This is because of the profound difficulties in correctly attributing sentience. This commentary argues that we have a moral duty to be extreme