Machine reading as a cognitive science research instrument

Kenneth D Forbus*, Kate Lockwood, Emmett Tomai, Morteza Dehghani, Jakub Czyz

*Corresponding author for this work

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

1 Scopus citations

Abstract

We describe how we are using natural language techniques to develop systems that can automatically encode a range of input materials for cognitive simulations. We start by summarizing this type of problem, and the components we are using. We then describe three projects that are using this common infrastructure: learning from multimodal materials, modeling decision making in moral dilemmas, and modeling conceptual change in development.

Original languageEnglish (US)
Title of host publicationMachine Reading - Papers from the 2007 AAAI Spring Symposium, Technical Report
Pages55-60
Number of pages6
StatePublished - Dec 28 2007
Event2007 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 26 2007Mar 28 2007

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS-07-06

Other

Other2007 AAAI Spring Symposium
CountryUnited States
CityStanford, CA
Period3/26/073/28/07

ASJC Scopus subject areas

  • Engineering(all)

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