SWARM
Collective Intelligence in Multi-Agent Robotics: Stigmergy, Self-Organization and Evolution
Eduardo Izquierdo‐Torres
- Year
- 2004
- Citations
- 8
Abstract
Nature has been able to evolve (several times) natural systems which produce complex spatio-temporal patterns from agents with very simple behaviours by exploiting the interactions between the agents and their environment. Surprisingly, the systematic use of these principles have been mostly neglected within the field of collective robotics.
Keywords
StigmergyRoboticsArtificial intelligenceSwarm roboticsCollective intelligenceSelf-organizationField (mathematics)Multi-agent systemComputer scienceArtificial life
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