Competitive Safety Analysis: Robust Decision-Making in Multi-Agent Systems

Competitive Safety Analysis: Robust Decision-Making in Multi-Agent Systems

Much work in AI deals with the selection of proper actions in a given (known or unknown) environment. However, the way to select a proper action when facing other agents is quite unclear. Most work in AI adopts classical game-theoretic equilibrium analysis to predict agent behavior in such settings. This approach however does not provide us with any guarantee for the agent. In this paper we int...

Trust Decision-Making in Multi-Agent Systems

Trust is crucial in dynamic multi-agent systems, where agents may frequently join and leave, and the structure of the society may often change. In these environments, it may be difficult for agents to form stable trust relationships necessary for confident interactions. Societies may break down when trust between agents is too low to motivate interactions. In such settings, agents should make d...

Game Decision Making in Multi Agent Systems

The system multi-agent (SMA) is a compound system of a set agents, situated ina certain environment and interacting to certain relations. The theory of the games is a formalism which aims at studying the interactions between agents knowing that such interactions can extend from the cooperation to the conflict . The game decision making in a system multi-agent require the players to manage a hig...

Local decision-making in multi-agent systems

An Implementation of Decision Making Models and Mechanisms for Multi-Agent Systems in Competitive Environments

In Multi-Agent System (MAS) competitive environment, agents’ reasoning process is more complex due to the fact that uncertainty factor is involved. Decision making models and mechanisms for MAS are studied in this paper from two viewpoints: S-R-K human information processing model viewpoint, and game theory and decision theory viewpoint. Five decision making modules that are rule-based module, ...