Intelligent scheduling
Market-based control: a paradigm for distributed resource allocation
Market-based control: a paradigm for distributed resource allocation
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
Discovering and exploiting synergy between hierarchical planning agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Combinatorial Auctions
A distributed framework for solving the Multiagent Plan Coordination Problem
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
CABRO: Winner Determination Algorithm for Single-unit Combinatorial Auctions
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Auction Mechanisms for Efficient Advertisement Selection on Public Displays
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Journal of Artificial Intelligence Research
Reaching envy-free states in distributed negotiation settings
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Adopt: asynchronous distributed constraint optimization with quality guarantees
Artificial Intelligence - Special issue: Distributed constraint satisfaction
AAMAS'04 Proceedings of the 6th AAMAS international conference on Agent-Mediated Electronic Commerce: theories for and Engineering of Distributed Mechanisms and Systems
Agent-based Cloud service composition
Applied Intelligence
Agent based sensors resource allocation in sensor grid
Applied Intelligence
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When selfish industries are competing for limited shared resources, they need to coordinate their activities to handle possible conflicting situations. Moreover, this coordination should not affect the activities already planned by the industries, since this could have negative effects on their performance. Although agents may have buffers that allow them to delay the use of resources, these are of a finite capacity, and therefore cannot be used indiscriminately. Thus, we are faced with the problem of coordinating schedules that have already been generated by the agents. To address this task, we propose to use a recurrent auction mechanism to mediate between the agents. Through this auction mechanism, the agents can express their interest in using the resources, thus helping the scheduler to find the best distribution. We also introduce a priority mechanism to add fairness to the coordination process. The proposed coordination mechanism has been applied to a waste water treatment system scenario, where different industries need to discharge their waste. We have simulated the behavior of the system, and the results show that using our coordination mechanism the waste water treatment plant can successfully treat most of the discharges, while the production activity of the industries is almost not affected by it.