Publication | Closed Access
The Behavioral Self-organization Of Nanorobots Using Local Rules
78
Citations
10
References
2005
Year
Unknown Venue
Artificial IntelligenceEngineeringBioroboticsRobotic AgentBehavioral Strat- EgySwarm DynamicAutonomous Agent SystemIntelligent SystemsSocial SciencesHumanrobot CollaborationLocal RulesBehavioral SciencesHuman Agent InteractionDesignComputer ScienceMulti-robot TeamPattern FormationMalignant TissueComputational NeuroscienceSelf-assemblyAutomationRoboticsBehavioral Self-organizationSwarm Robotics
The behavior of a colony of p-robots, with the common goal of destroying malignant tissue in the brain, is simulated. The behavior of each robot is gov- erned by local rules of interaction with the environ- ment. Each robot alone has a low probability of achiev- ing its purpose. Collectively, the synergistic effect of cooperation significantly improves the likelihood of an individual achieving its purpose. The behavioral strat- egy to achieve such cooperation (by means of chemical communication signals) is described. The method is il- lustrated by simulation results. I. INTRODUCTION
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