Applications of an implementation story for non-sentential models

Jonathan Waskan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The viability of the proposal that human cognition involves the utilization of non-sentential models is seriously undercut by the fact that no one has yet given a satisfactory account of how neurophysiological circuitry might realize representations of the right sort. Such an account is offered up here, the general idea behind which is that high-level models can be realized by lower-level computations and, in turn, by neural machinations. It is shown that this account can be usefully applied to deal with problems in fields ranging from artificial intelligence to the philosophy of science.

Original languageEnglish (US)
Title of host publicationModel-Based Reasoning in Science and Technology
Subtitle of host publicationAbduction, Logic, and Computational Discovery
EditorsLorenzo Magnani, Walter Carnielli, Claudio Pizzi
Pages463-476
Number of pages14
DOIs
StatePublished - Oct 14 2010

Publication series

NameStudies in Computational Intelligence
Volume314
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Applications of an implementation story for non-sentential models'. Together they form a unique fingerprint.

Cite this