The dynamics of collective sorting robot-like ants and ant-like robots
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Ant-Based Clustering and Topographic Mapping
Artificial Life
QoS-based dissemination of content in Grids
Future Generation Computer Systems
So-Grid: A self-organizing Grid featuring bio-inspired algorithms
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A novel ant clustering algorithm based on cellular automata
Web Intelligence and Agent Systems
An Improved Ant Colony System and Its Application
Computational Intelligence and Security
An agent-based approach for predictions based on multi-dimensional complex data
Information Sciences: an International Journal
A general stochastic clustering method for automatic cluster discovery
Pattern Recognition
Relationships of swarm intelligence and artificial immune system
International Journal of Bio-Inspired Computation
Adaptive collective decision-making in limited robot swarms without communication
International Journal of Robotics Research
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Several species of ants are known to build a cemetery, apparently without any individual planning. We propose a minimal cellular automata like model which accounts for this behavior. The artificial ants of our model require less intelligence than those of the model proposed by Deneubourg in 1991. We show that the observed clustering of corpses can be explained by a statistical effect and we argue that the cemetery formation is not a collective phenomenon since a single ant would also produce it, yet slowly. Our model also accounts for the observed fact that the clustering of corpses takes place around the inhomogeneities of the ants' environment.