Game theory models for communication between agents: a review

TL;DR

This paper reviews game theory models for agent communication, providing a comprehensive taxonomy to understand complex interactions across multiple disciplines.

Contribution

It offers a multidisciplinary, comprehensive review and taxonomy of game theory models specifically tailored for agent interactions.

Findings

Provides a structured classification of game theory models for agents

Identifies gaps in existing literature across disciplines

Facilitates future research in agent communication modeling

Abstract

In the real world, agents or entities are in a continuous state of interactions. These inter- actions lead to various types of complexity dynamics. One key difficulty in the study of complex agent interactions is the difficulty of modeling agent communication on the basis of rewards. Game theory offers a perspective of analysis and modeling these interactions. Previously, while a large amount of literature is available on game theory, most of it is from specific domains and does not cater for the concepts from an agent- based perspective. Here in this paper, we present a comprehensive multidisciplinary state-of-the-art review and taxonomy of game theory models of complex interactions between agents.