An Empirical Study in the Simulation of Heuristic Error Behavior.

Abstract

Many artificial intelligence programs deal in searching for solutions from many alternatives, and depend upon heuristics to guide the search and to insure quality results. This thesis documents empirical research performed in searching problems and heuristic behavior. In this thesis a general model is presented that defines a broad class of searching domains, along with a set of software tools designed to support research in them. One puzzle configuration is devised from the model and studied in depth, examining several subtle variations of the A* searching algorithm, and results are compared with related work from other similar domains. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1986
Accession Number
ADA173096

Entities

People

  • Steven R. Hansen

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Application Software
  • Artificial Intelligence
  • Computer Programming
  • Computer Programs
  • Computers
  • Databases
  • Demographic Cohorts
  • Distribution Functions
  • Lists (Data Structures)
  • Normal Distribution
  • Simulations
  • Statistics
  • Three Dimensional
  • Trees (Data Structures)
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms