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Gift value algorithm in multi-robot systems to promote cooperative coalitions

Sun Zengqi

发表年份
2005
引用次数
2

摘要

Effective cooperation among a group of robots is a key problem in multi-robot systems. The process of achieving cooperation can be modelled as coalition formation among a group of multi-robots. This paper presents a gift value algorithm based on environment knowledge, history experience and credit. The algorithm encourages selfish robots to form cooperative coalitions to optimize completion of tasks to get rewards using electoral and negotiatory methods based on gift value. The gift value algorithm is applied in robosoccer to improve test results.

关键词

RobotKey (lock)Value (mathematics)Computer scienceProcess (computing)Test (biology)Artificial intelligenceAlgorithmMachine learningComputer security

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