Representations and solutions for game-theoretic problems
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Modeling agents as qualitative decision makers
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Methods for task allocation via agent coalition formation
Artificial Intelligence
On stable social laws and qualitative equilibria
Artificial Intelligence
Game theoretic reasoning in multi-agent coordination by negotiation with a trusted third party
Proceedings of the third annual conference on Autonomous Agents
Making Rational Decisions in N-by-N Negotiation Games with a Trusted Third Party
PRIMA '99 Proceedings of the Second Pacific Rim International Workshop on Multi-Agents: Approaches to Intelligent Agents
Agent Negotiation under Uncertainty and Risk
PRIMA '00 Proceedings of the Third Pacific Rim International Workshop on Multi-Agents: Design and Applications of Intelligent Agents
Discovery of crises via agent-based simulation of a transportation system
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
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In multi-agent coordination, the uncertainty may come from two major sources: the moves of the nature agent and the unpredictable behavior of other autonomous agents. The uncertainty may affect the expected payoff and the risk of an agent. A rational agent would not always play the strategy that gives the highest expected payoff if the risk is too high. To tackle the uncertainty in multi-agent coordination, a risk control mechanism is necessary in multi-agent decision making. We assume agents may have different risk preferences, e.g. risk-averse, risk-neutral, and risk-seeking, and separate the risk preference from the utility function of a given strategy. Taking agent's risk preference into account extends the notions of the dominant strategy, the Nash equilibrium, and the Pareto-efficiency in traditional game theory. We show how the risk control can be carried out by a negotiation protocol using communication actions of asking guarantee and offering compensation via a trusted third party.