Accession Number : ADA115380

Title :   A Multi-Strategy Gaming Environment.

Descriptive Note : Interim rept. 1 Jul 81-30 Mar 82,

Corporate Author : STATE UNIV OF NEW YORK AT BUFFALO AMHERST GROUP FOR COMPUTER STUDIES OF STRATEGIES

Personal Author(s) : Findler,Nicholas V ; Sicherman,George L ; McCall,Bede

PDF Url : ADA115380

Report Date : Mar 1982

Pagination or Media Count : 43

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)

Descriptors :   *Game theory, *Decision making, *Man machine systems, Strategic analysis, Learning machines, Risk, Artificial intelligence, Interactions, Awareness, Computer applications

Subject Categories : Psychology
      Numerical Mathematics
      Human Factors Engineering & Man Machine System

Distribution Statement : APPROVED FOR PUBLIC RELEASE