Accession Number : ADA183553
Title : Integrated Processing in Planning and Understanding.
Descriptive Note : Research rept.,
Corporate Author : YALE UNIV NEW HAVEN CT DEPT OF COMPUTER SCIENCE
Personal Author(s) : Birnbaum,Lawrence
PDF Url : ADA183553
Report Date : Dec 1986
Pagination or Media Count : 209
Abstract : Programs that plan and understand must make many decisions about which paths of inquiry are likely to prove fruitful. In order to make such decisions rationally, and hence avoid the need for backtracking that inevitably results if they are made arbitrarily, relevant contextual information must be brought to bear. An integrated model of planning or understanding is one that attempts to take such contextual information into account as early as possible. An integrated model of understanding must take the understander's goals and hypotheses into account in making decisions about how to interpret an input. The relationship between syntax and semantics in language understanding is analyzed from such an integrated point of view. Next, the problems of lexical ambiguity and vagueness are addressed, previous attempts to solve these problems are analyzed, and their shortcomings are used to motivate requirements for a more complete solution. Finally, an integrated approach to inference in explanation-based understanding is presented. Keywords: Artificial intelligence, Language understanding, Opportunistic planning, Explanatory inference, Freudian slips.
Descriptors : *ARTIFICIAL INTELLIGENCE, *INFORMATION PROCESSING, *DECISION MAKING, AMBIGUITY, ARTIFICIAL INTELLIGENCE, HYPOTHESES, INTEGRATED SYSTEMS, LEXICOGRAPHY, MODELS, PLANNING, SEMANTICS, SYNTAX, PROBLEM SOLVING
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE