Deriving consensus in multiagent systems
Artificial Intelligence
Distributed rational decision making
Multiagent systems
Iterative combinatorial auctions: achieving economic and computational efficiency
Iterative combinatorial auctions: achieving economic and computational efficiency
Evolution of the GPGP/TÆMS Domain-Independent Coordination Framework
Autonomous Agents and Multi-Agent Systems
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Distributed multiagent resource allocation in diminishing marginal return domains
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Recovering from Airline Operational Problems with a Multi-Agent System: A Case Study
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Perseus. Software for Analyzing Persuasion Process
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
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We present a multiagent decision mechanism for the airport traffic control domain. It enables airlines to jointly decide on proposals for plan conflict solutions. The mechanism uses weighted voting for maximizing global utility and Clarke Tax to discourage manipulation. We introduce accounts to ensure that all agents are treated fairly, to some extent. The mechanism allows an airport to determine the pay-off between optimality and fairness of schedules. Also, it compensates for agents that happen to be in practically unfavourable positions.