CYBEX information sharing game with objective and subjective players

Ahmed A.Alabdel Abass, Narayan B. Mandayam, Zoran Gajic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We model an information sharing game among firms as an evolutionary game on a graph under the condition that players perception of uncertainty and decision making can follow either an objective expected utility theory (EUT) model or a subjective prospect theory (PT) model. Each player chooses one of two strategies with probabilities x and 1-x, where the subjective players bias their choices of the probabilities to be w(x) and w(1-x) to reflect the probability weighting effect of PT. We find that players' behavior is affected by the total number of players and the number of each type of player (objective or subjective). We show that increasing the number of participating firms encourages the information sharing strategy and the behavior becomes similar for both types of players. Subjective players' are affected more by increasing the number of participating firms (the number of players). As a result, subjective players are more likely to cooperate by sharing information and paying the costs of this sharing than objective players. We derive the conditions to achieve a locally asymptotically stable Nash equilibrium (NE) and the necessary conditions to achieve an evolutionary stable strategy (ESS).

Original languageEnglish (US)
Title of host publication2021 55th Annual Conference on Information Sciences and Systems, CISS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665412681
DOIs
StatePublished - Mar 24 2021
Event55th Annual Conference on Information Sciences and Systems, CISS 2021 - Baltimore, United States
Duration: Mar 24 2021Mar 26 2021

Publication series

Name2021 55th Annual Conference on Information Sciences and Systems, CISS 2021

Conference

Conference55th Annual Conference on Information Sciences and Systems, CISS 2021
Country/TerritoryUnited States
CityBaltimore
Period3/24/213/26/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

Keywords

  • Evolutionary Games
  • Game Theory
  • Prospect Theory
  • Replicator Dynamics
  • Security Investment

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