Physical Symbol Systems

TL;DR: The human and the design of interactive systems: The myth of the infinitely fast machine, a guide to designing for diversity and the process of design.

TL;DR: In this article, the main argument of this paper is directed at establishing this claim and the form of the argument is to show how a human agent could instantiate the program and still not have the relevant intentionality.

TL;DR: Differences between Connectionist proposals for cognitive architecture and the sorts of models that have traditionally been assumed in cognitive science are explored and the possibility that Connectionism may provide an account of the neural structures in which Classical cognitive architecture is implemented is considered.

TL;DR: In this paper, the semantic interpretation of a formal symbol system is made intrinsic to the system, rather than just parasitic on the meanings in our heads, and a candidate solution is sketched: Symbolic representations must be grounded bottom-up in nonsymbolic representations of two kinds: (1) "iconic representations," which are analogs of the proximal sensory projections of distal objects and events, and (2) categorical representations, which are learned and innate feature-detectors that pick out the invariant features of object and event categories.

TL;DR: Ressenya de l'obra d'E. O. Wilson apareguda el 1975, Sociobiology. The New Synthesis.The Belknap Press of Harvard University Press.

TL;DR: This classic introduction to artificial intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval.