Emergent coordination through the use of cooperative state-changing rules
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Communication in reactive multiagent robotic systems
Autonomous Robots
Whistling in the dark: cooperative trail following in uncertain localization space
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Digital pheromone mechanisms for coordination of unmanned vehicles
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Cooperation Protocols in Multi-Agent Robotic Systems
Autonomous Robots
Grounded Symbolic Communication between Heterogeneous Cooperating Robots
Autonomous Robots
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper describes an experiment designed to measure the effect of collaborative communication on task performance of a multiagent system. A simulation of a multiagent environment modeled after a bee colony examined the effects of collaboration through communication for various numbers of agents and environment sizes. Results show that collaboration enables a smaller number of agents to perform as well as a significantly larger number of agents without coordination. In particular, results indicate that the biologically inspired communication model of the bee is a particularly effective method of agent communication and collaboration.