Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Autonomous Robots
RoboCup Rescue as multiagent task allocation among teams: experiments with task interdependencies
Autonomous Agents and Multi-Agent Systems
Antbots: a feasible visual emulation of pheromone trails for swarm robots
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Towards efficient multiagent task allocation in the RoboCup Rescue: a biologically-inspired approach
Autonomous Agents and Multi-Agent Systems
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A lot of scientists study the behavior of insect's colony like ants, wasps and bees. Through these researches, it is possible to establish patterns used by a group of insects and apply these patterns in other domains. In this paper it will be showed the use of stigmergy in a rescue situation using the RoboCup Rescue simulator. We performed a set of experiments using a metaphor based on the behavior of an ant colony, where the communication between agents is done through the environment. We measured the performance of the ant-based algorithm, expecting to figure out the feasibility of using swarm intelligence in a rescue situation. We compared the results of using stigmergy against a multiagent system based on direct messages. The results showed that the use of stigmergy can outperform the use of direct messages.