COMPETITIVE TWO-PERSON PERCENTILE GAME THEORY WITH DIRECT CONSIDERATION OF PAYOFF MATRICES.

Abstract

Considered is discrete two-person game theory where the players behave competitively and choose their strategies separately and independently. Payoffs can be of a very general nature and need not be numbers. Within each matrix, the payoffs can be ranked according to increasing desirability level. This is done separately by each player and these rankings are not necessarily related. Separately, player i, (i = 1,2), selects and applies a percentile criterion 100ai to each matrix. A largest desirability level Pi(ai) occurs in the matrix for player i such that, when acting protectively, he can assure with probability at least ai that his payoff is at least this desirable (to him). Also, a smallest desirability level (P'j)(ai), according to the ranking by player i, occurs in the matrix for the other player (designated as j) such that player i, when acting vindictively, can assure with probability at least ai that the payoff to player j has at most this desirability (to player i). An ai-optimum solution occurs for player i when he can be simultaneously ai-protective and ai-vindictive. Median game theory occurs when a1=a2=1/2. Percentile game theory occurs when more, or less, assurance is desired than occurs for the median case. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 11, 1970
Accession Number
AD0708672

Entities

People

  • Grace J. Kelleher
  • John E. Walsh

Organizations

  • Southern Methodist University

Tags

DTIC Thesaurus Topics

  • Data Science
  • Education
  • Game Theory
  • Information Science
  • Interdisciplinary Science
  • Mathematics
  • Military Tactics
  • Military Training
  • Probability
  • Recreation
  • Statistics
  • Training

Fields of Study

  • Economics

Readers

  • Game Theory.
  • Statistical inference.