Readings in artificial intelligence: a collection of articles
The purpose of this collection is to make accessible in one place a number of the seminal research papers in the field of aritificial intelliigence. These papers cover a wide variety of topics; some are theoretical and some experimental. As many of the papers included here are difficult to find elsewhere, having originally been published in conference proceedings or journals that are no longer in print, the researcher or student will find this volume a valuable sourcebookof fundamental AI research. The editors have added useful introductions to each section and a comprehensive subject index.
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Consistency in Networks of Relations
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A-state achieve action algorithm applied approach Artificial Intelligence assertions assumption axioms beliefs best-first search breadth-first search chess circumscription clauses closed world assumption Computer Science concepts condition consider consistent constraints constructed data base DENDRAL described domain evaluation example execution expression first-order logic formal frame problem function given goal graph Hayes-Roth Hearsay-II heuristic hypotheses implementation induction inference integers interpretation justification knowledge base language LISP logic MACROP match metatheory method modal logic MYCIN node operators output paper paradise path performance possible preconditions predicate problem solving procedure produce proof reasoning relation representation represented result robot rules score semantic sentences sequence situation situation calculus solution solver space specific speech acts step strategy structure task techniques teiresias theorem proving theory tion training instances true variables version space word