Voting teams: a cooperative approach to non-typical problems using genetic programming
作者： Terence Soule
DOI:
关键词: Team learning 、 Test (assessment) 、 Voting 、 Knowledge management 、 Operations research 、 Genetic programming 、 Computer science
摘要: This paper presents a general approach for evolving cooperative teams to solve problems that are non-typical of team research. Cooperation is achieved by allowing the members vote on solution. In these experiments even-7-parity problem used as test problem. Although even-7-pariety not typical learning, cooperating outperformed individuals and fewer resources. Interestingly, members' individual performance quite poor; improved only through voting.
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