Abandoning the Completeness Assumptions: A Statistical Approach to the Frame Problem

Abstract

The purpose of this paper is twofold. The first is to challenge the assumptions regarding knowledge completeness that planning agents are often taken as possessing, and the solutions to the frame problem that depend upon these assumptions. The second is to present preliminary ideas regarding and approach to the frame problem that provides a more explicit formulation of an agent's uncertainty using statistically derived probabilities.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1990
Accession Number
ADA250621

Entities

People

  • Josh D. Tenenberg

Organizations

  • University of Rochester

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Calculus
  • Causal Reasoning
  • Coding
  • Cognitive Science
  • Computational Science
  • Computer Science
  • Computers
  • Frequency
  • Intelligent Agents
  • Intelligent Systems
  • Intervals
  • Language
  • Notation
  • Probability
  • Reasoning
  • Statistics

Readers

  • Artificial Intelligence
  • Theoretical Analysis.