Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Evolving adaptive pheromone path planning mechanisms
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Autonomous Agents and Multi-Agent Systems
Dynamic Pricing with Limited Competitor Information in a Multi-Agent Economy
CooplS '02 Proceedings of the 7th International Conference on Cooperative Information Systems
Anthill: A Framework for the Development of Agent-Based Peer-to-Peer Systems
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Cooperative negotiation for soft real-time distributed resource allocation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
On multi-robot task allocation
On multi-robot task allocation
Multi-Attribute Dynamic Pricing for Online Markets Using Intelligent Agents
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Performance of digital pheromones for swarming vehicle control
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Distributed automatic target recognition using multi-agent UAV swarms
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Market-Based Distributed Task Selection in Multi-agent Swarms
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Swarm Intelligence in Data Mining (Studies in Computational Intelligence)
Swarm Intelligence in Data Mining (Studies in Computational Intelligence)
Decentralized, adaptive resource allocation for sensor networks
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Building patterned structures with robot swarms
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Methods for task allocation via agent coalition formation
Artificial Intelligence
Adopt: asynchronous distributed constraint optimization with quality guarantees
Artificial Intelligence - Special issue: Distributed constraint satisfaction
Distributed task selection in multi-agent based swarms using heuristic strategies
SAB'06 Proceedings of the 2nd international conference on Swarm robotics
A multi-agent UAV swarm for automatic target recognition
DAMAS'05 Proceedings of the 2005 international conference on Defence Applications of Multi-Agent Systems
A Cooperative mediation-based protocol for dynamic distributed resource allocation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Multi-objective optimization for dynamic task allocation in a multi-robot system
Engineering Applications of Artificial Intelligence
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Over the past few years, emergent computing based techniques such as swarming have evolved as an attractive technique to design coordination protocols in large-scale distributed systems and massively multi-agent systems. In this paper, we consider a search-and-execute problem domain where agents have to discover tasks online and perform them in a distributed, collaborative manner. We specifically focus on the problem of distributed coordination between agents to dynamically allocate the tasks among themselves. To address this problem, we describe a novel technique that combines a market-based dynamic pricing algorithm to control the task priorities with a swarming-based coordination technique to disseminate task information across the agents. Experimental results within a simulated environment for a distributed aided target recognition application show that the dynamic pricing based task selection strategies compare favorably with other heuristic-based task selection strategies in terms of task completion times while achieving a significant reduction in communication overhead.