Commonsense Knowledge Representation I

Phillip Ein-Dor

doi:10.4018/978-1-59904-849-9.ch050

Commonsense Knowledge Representation I

Phillip Ein-Dor^*

^*Corresponding author for this work

Coller School of Management

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

Significant advances in artificial intelligence, including machines that play master level chess, or make medical diagnoses, highlight an intriguing paradox. While systems can compete with highly qualified experts in many fields, there has been much less progress in constructing machines that exhibit simple commonsense, the kind expected of any normally intelligent child. As a result, commonsense has been identified as one of the most difficult and important problems in AI (Doyle, 1984; Waltz, 1982).

Original language	English
Title of host publication	Encyclopedia of Artificial Intelligence
Subtitle of host publication	Volume I-III
Publisher	IGI Global
Pages	327-333
Number of pages	7
Volume	1-3
ISBN (Electronic)	9781599048505
ISBN (Print)	9781599048499
DOIs	https://doi.org/10.4018/978-1-59904-849-9.ch050
State	Published - 1 Jan 2008

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Commonsense Knowledge Representation I

Abstract

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