A Multi-Strategy Gaming Environment.

Abstract

The authors, together with a large and varying number of collaborators, worked on a long-term project aimed at how decisions are and should be made under uncertainty and risk. Learniing programs of different types have come to the center of their attention, both in the course of trying to simulate human recognitive behavior and in constructing wholly machine intelligence-oriented competitive strategies. They describe an interactive environment in which an arbitrary number of human and machine strategies, up to a total of eight, can be pitted against each other. The game of draw poker was selected as the vehicle of these studies since it shares many characteristics with real-life decision-making tasks. This project has come to an end. The authors also describe their current work on automatic analysis and synthesis of strategies. Although the systems being developed are highly context-independent, they are able to utilize their experience gained in the previous project. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1982
Accession Number
ADA115380

Entities

People

  • Bede Mccall
  • George L. Sicherman
  • Nicholas V. Findler

Organizations

  • University at Buffalo

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata Theory
  • Bayesian Networks
  • Cognition
  • Computational Science
  • Computer Science
  • Computer Simulations
  • Computers
  • Databases
  • Human Behavior
  • Human-Machine Systems
  • Information Science
  • Machine Learning
  • Mathematical Models
  • New York
  • Probability
  • Virtual Reality

Readers

  • Artificial Intelligence
  • Game Theory.
  • Systems Analysis and Design