Algorithm for optimal winner determination in combinatorial auctions
Artificial Intelligence
An integrated token-based algorithm for scalable coordination
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Allocating tasks in extreme teams
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
An approach to online optimization of heuristic coordination algorithms
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A Token-Based Mutual Exclusion Approach to Improve Collaboration in Distributed Environments
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Token Based Resource Sharing in Heterogeneous Multi-agent Teams
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Team formation and optimization for service provisioning
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Towards efficient multiagent task allocation in the RoboCup Rescue: a biologically-inspired approach
Autonomous Agents and Multi-Agent Systems
Architecture of a discrete-event and agent-based crisis response simulation model
International Journal of Advanced Intelligence Paradigms
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Many coordination algorithms claim to be general, implying that they can be used to coordinate agents in a variety of domains. However, little work has been done to quantitatively compare distinctly different approaches to coordination across a range of domains. In this paper, we present a detailed comparison of two published coordination algorithms, performed in an abstract coordination simulation environment that allows extensive, quantitative experimentation. The simulator is to used to compare two distinct approaches to coordination, token-based coordination and market based coordination. The results largely show the generality of different approaches, but performance and performance tradeoffs varies greatly across domains.