Co-Opetitive Linear-Quadratic Mean-Field-Type Games

Julian Barreiro-Gomez, Tyrone E. Duncan, Hamidou Tembine

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose a co-opetitive mean-field-type game (MFTG) approach in which decision makers interact with each other by means of partial cooperation and competition simultaneously. The proposed novel approach allows decision makers' preferences to evolve over time to cooperate with those who contribute to their utilities, and to compete with those who are working against their individual interests. In addition, we consider that each decision maker has a co-opetitive capacity/power. The co-opetitive MFTG involves concepts, such as selfishness, altruism, competition, cooperation, among others; all together within the same strategic interaction. Both co-opetitive MFTGs and evolutionary dynamics describing the evolution of co-opetitive parameters are combined. We design incentives to promote the emergence of co-opetition over selfish behavior.

Original languageEnglish (US)
Article number8667722
Pages (from-to)5089-5098
Number of pages10
JournalIEEE Transactions on Cybernetics
Volume50
Issue number12
DOIs
StatePublished - Dec 2020

Keywords

  • Co-opetition
  • direct method
  • evolutionary dynamics
  • learning
  • mean-field-type games (MFTGs)

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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