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Interaction-based Group Identity Detection via Reinforcement Learning and Artificial Evolution Corrado Grappiolo, Julian Togelius Georgios N. Yannakakis
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Document Date: 2013-08-26 11:58:55


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City

Amsterdam / Eisenstadt / /

Company

Complex Adaptive Systems / Cambridge University Press / IEEE Intelligent Systems / Small World Networks / /

Country

Netherlands / /

Currency

USD / /

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Event

FDA Phase / /

Facility

Denmark Institute of Digital Games University / Computer Games Research IT University of Copenhagen / /

IndustryTerm

directed weighted networks / weighted network / possible real-life applications / data mining tool / interactions protocols / immediate applications / multi-agent systems / spatial networks / interaction protocol / evolutionary algorithm / social networks / friendship social networks / social network / scale-free networks / Evolutionary algorithms / actual friendship network / search space / rule-learning algorithms / stochastic search / genetic search / given networks / well-structured reciprocal friendship network / /

Organization

Cambridge University / Julian Togelius Georgios N. Yannakakis Center / United Nations / Denmark Institute / GM’s GID / University of Malta / GID’s EA / U.S. Securities and Exchange Commission / University of Copenhagen / Royal Society / FNrec / /

Person

Julian Togelius Georgios / /

Position

Farmer / General / /

Product

Skullcandy G.I. Headphone/Headset / societies / /

PublishedMedium

IEEE Intelligent Systems / Games and Economic Behavior / Ecology and Society / Journal of Conflict Resolution / The Quarterly Journal of Economics / Philosophical Transactions of the Royal Society / Physical Review Letters / /

Technology

Clauset-NewmanMoore algorithm / Similarity-Based Algorithms / artificial intelligence / evolutionary algorithm / interaction protocol / multiobjective Evolutionary Algorithms / genetic Algorithm / rule-learning algorithms / data mining / Barab´ asi-Albert algorithm / interactions protocols / EA algorithm / simulation / /

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