Everyday Believability.

Abstract

Believable Agents must be able to handle a large number of goals, opportunistically acting on them while maintaining a focus of purpose. They also must be able to operate over long life times without signifIcant performance degradations. We describe in this paper a method of managing an agent's goals so that the agent can make progress on as many goals as possible, without spending undue time considering goals that it can't make progress on. The key part of this method is a way of specializing and generalizing the set of perceptual cues that are used to bring a goal into consideration by the agent. The method is described via a simple example. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA294938

Entities

People

  • Garrett A. Pelton
  • Jill F. Lehman

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Climate Change
  • Cognitive Science
  • Computer Science
  • Learning
  • Long Life
  • Machine Learning
  • New Jersey
  • Operating Systems
  • Simulations
  • Software Agents
  • Specialization
  • United States
  • United States Government
  • Visualizations

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design