Bibliographic Citation
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Title | Evidential reasoning in semantic networks: a formal theory and its parallel implementation |
Creator/Author | Shastri, L. |
Publication Date | 1985 Jan 01 |
OSTI Identifier | OSTI ID: 5790731 |
Resource Type | Thesis/Dissertation |
Resource Relation | Thesis (Ph. D.) |
Research Org | Rochester Univ., NY (USA) |
Subject | 990200 -- Mathematics & Computers; ARTIFICIAL INTELLIGENCE;PARALLEL PROCESSING;REAL TIME SYSTEMS |
Related Subject | PROGRAMMING |
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. |
Publisher | Univ. of Rochester,Rochester, NY |
Country of Publication | United States |
Language | English |
Format | Pages: 258 |
Availability | University Microfilms Order No. 85-28,562. |
System Entry Date | 2001 May 13 |
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