Game theory models for communication between agents: a review
This is an incremental review paper that synthesizes existing literature for researchers in multi-agent systems and game theory.
The paper tackles the problem of modeling agent communication based on rewards in complex interactions by providing a comprehensive review and taxonomy of game theory models from an agent-based perspective.
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.