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Title Evidential reasoning in semantic networks: a formal theory and its parallel implementation
Creator/Author Shastri, L.
Publication Date1985 Jan 01
OSTI IdentifierOSTI ID: 5790731
Resource TypeThesis/Dissertation
Resource RelationThesis (Ph. D.)
Research OrgRochester Univ., NY (USA)
Subject990200 -- Mathematics & Computers; ARTIFICIAL INTELLIGENCE;PARALLEL PROCESSING;REAL TIME SYSTEMS
Related SubjectPROGRAMMING
Description/Abstract The problem of representing and utilizing a large body of knowledge is fundamental to artificial intelligence.^This thesis focuses on two important issues related to this problem.^(1) An agent cannot maintain complete knowledge about any but the most trivial environment, and therefore, he must be capable of reasoning with incomplete and uncertain information.^(2) An agent must act in realtime.^Human agents take a few hundred milliseconds to perform a broad range of intelligent tasks, and agents endowed with artificial intelligence should perform similar tasks in comparable time.^It is argued that the best way to cope with partial and incomplete information is to adapt an evidential form of reasoning, wherein, inference does not involve establishing the truth of a proposition but, instead, involves finding the most likely hypothesis from among a set of alternatives.^It is also argued that in order to satisfy the real-time constraint, one must identify the kinds of inference that need to be performed very fast, and provide a computational account of how this limited class of inference may be performed in an acceptable time frame.^This latter requirement prompts us to consider massively parallel models of computation, in particular models that do not require an interpreter.
PublisherUniv. of Rochester,Rochester, NY
Country of PublicationUnited States
LanguageEnglish
FormatPages: 258
AvailabilityUniversity Microfilms Order No. 85-28,562.
System Entry Date2001 May 13

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