The centrality of autonomous agents in theories of action under uncertainty

Paul R. Cohen, David S. Day

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

In this paper we discuss a class of tasks in which to study planning under uncertainty. We analyze the interaction between autonomous agents and uncertain environments, and review the artificial intelligence literature on planning from this perspective. Case studies from our own research are presented to illustrate issues in planning under uncertainty and methods for studying these issues.

Original languageEnglish (US)
Pages (from-to)303-326
Number of pages24
JournalInternational Journal of Approximate Reasoning
Volume2
Issue number3
DOIs
StatePublished - Jul 1988

Keywords

  • artificial intelligence
  • autonomous agents
  • control
  • iterative decision making
  • planning
  • real-time planning

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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