Meant every as a textual content material for superior undergraduates and graduate school college students, and as a key reference work for AI researchers and builders, Logical Foundations of Artificial Intelligence is a lucid, rigorous, and full account of the fundamentals of artificial intelligence from the standpoint of logic.
The first half of the book introduces the logicist technique to AI–discussing the illustration of declarative info and that features an introduction to the tactic of conceptualization, the syntax and semantics of predicate calculus, and the basics of totally different declarative representations corresponding to frames and semantic nets. This half moreover provides a straightforward nevertheless extremely efficient inference course of, resolution, and reveals how it may be utilized in a reasoning system.
The next a quantity of chapters speak about nonmonotonic reasoning, induction, and reasoning beneath uncertainty, broadening the logical technique to deal with the inadequacies of strict logical deduction. The third half introduces modal operators that facilitate representing and reasoning about info. This half moreover develops the tactic of writing predicate calculus sentences to the metalevel–to permit sentences about sentences and about reasoning processes. The last word three chapters speak concerning the illustration of details about states and actions, planning, and intelligent system construction.
End-of-chapter bibliographic and historic suggestions current background and degree to totally different works of curiosity and evaluation. Each chapter moreover incorporates fairly a number of scholar exercises (with choices provided in an appendix) to strengthen concepts and drawback the learner. A bibliography and index full this whole work.
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