Artificial intelligence and virtual organizations
Communications of the ACM
Adaptive task resources allocation in multi-agent systems
Proceedings of the fifth international conference on Autonomous agents
Role allocation and reallocation in multiagent teams: towards a practical analysis
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Self-organization through bottom-up coalition formation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Negotiation among self-interested computationally limited agents
Negotiation among self-interested computationally limited agents
Solving combinatorial auctions with temporal constraints in economic agents
Solving combinatorial auctions with temporal constraints in economic agents
Decentralized task allocation using magnet: an empirical evaluation in the logistics domain
Proceedings of the ninth international conference on Electronic commerce
International Journal of Networking and Virtual Organisations
Tasks for agent-based negotiation teams: Analysis, review, and challenges
Engineering Applications of Artificial Intelligence
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In this paper negotiation is presented as a solution to the formation of virtual organization in domains with many parties having (partially) unknown constraints and profiles and in which the environment is dynamic by nature. The solution presented is based on the MAGNET negotiation system, for which an extension is presented, that allows for last minute changes and failure management. An efficient algorithm is presented for supplier agents, incorporating preferences, and other constraints related to existing individual plans). Combining the algorithms for supplier agents, with a simple customer agent specification, and the ability to iterate the bidding, MAGNET is extended to deal with domains as described above. A case study in logistics using real data from a logistics company shows the validity of the approach.