Integrated Processing in Planning and Understanding.

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.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1986
Accession Number
ADA183553

Entities

People

  • Lawrence Birnbaum

Organizations

  • Yale University

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata Theory
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Computers
  • Construction
  • Information Processing
  • Information Systems
  • Language
  • Linguistics
  • Natural Language Processing
  • Ontologies
  • Psychology

Readers

  • Artificial Intelligence
  • Computational Linguistics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy