Diversity and adaptation in populations of clustering ants
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Wasp-like Agents for Distributed Factory Coordination
Autonomous Agents and Multi-Agent Systems
On the performance of ant-based clustering
Design and application of hybrid intelligent systems
Dynamic Polyethism and Competition for Tasks in Threshold Reinforcement Models of Social Insects
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Allocating tasks in extreme teams
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Efficient agent-based cluster ensembles
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
An aggregated clustering approach using multi-ant colonies algorithms
Pattern Recognition
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
A Study of Coordinated Dynamic Market-Based Task Assignment in Massively Multi-Agent Systems
Massively Multi-Agent Technology
Using Swarm-GAP for Distributed Task Allocation in Complex Scenarios
Massively Multi-Agent Technology
An improved probabilistic ant based clustering for distributed databases
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Task allocation via coalition formation among autonomous agents
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
RoboCup Rescue as multiagent task allocation among teams: experiments with task interdependencies
Autonomous Agents and Multi-Agent Systems
An artificial bee colony approach for clustering
Expert Systems with Applications: An International Journal
Honey bee social foraging algorithms for resource allocation: Theory and application
Engineering Applications of Artificial Intelligence
An ACO-based clustering algorithm
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
C-link: a hierarchical clustering approach to large-scale near-optimal coalition formation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Most clustering methods rely on central data structures and/or cannot cope with dynamically changing settings. Besides, these methods need some hints about the target clustering. However, issues related to the current use of Internet resources (distribution of data, privacy, etc.) require new ways of dealing with data clustering. In multiagent systems this is also becoming an issue as one wishes to group agents according to some features of the environment in order to have agents accomplishing the available tasks in an efficient way. In this paper we discuss the application of a clustering algorithm that is inspired by swarm intelligence techniques such as organization of bee colonies and task allocation among social insects. This application involves a complex task allocation scenario, the RoboCup Rescue, where tasks with different characteristics must be allocated to agents with different capabilities. Our results have shown that clustering agents is effective in this scenario as agents act in a more coordinated way.