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DC Field | Value | Language |
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dc.contributor.author | Grappiolo, Corrado | - |
dc.contributor.author | Togelius, Julian | - |
dc.contributor.author | Yannakakis, Georgios N. | - |
dc.date.accessioned | 2017-10-31T10:02:21Z | - |
dc.date.available | 2017-10-31T10:02:21Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Grappiolo, C., Togelius, J., & Yannakakis, G. N. (2013). Using reinforcement learning and artificial evolution for the detection of group identities in complex adaptive artificial societies. 15th annual conference companion on genetic and evolutionary computation, Amsterdam. 27-28. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/23162 | - |
dc.description.abstract | We present a computational framework capable of inferring the existence of groups, built upon social networks of re- ciprocal friendship, in Complex Adaptive Artificial Societies (CAAS). Our modelling framework infers the group identi- ties by following two steps: first, it aims to learn the on- going levels of cooperation among the agents and, second, it applies evolutionary computation, based on the learned cooperation values, to partition the agents into groups. Ex- perimental investigations, based on CAAS of agents who interact with each other by means of the Ultimatum Game, show that a cooperation learning phase, based on Reinforce- ment Learning, can provide highly promising results for min- imising the mismatch between the existing and the inferred groups, for two different society sizes under investigation. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | ACM Publications | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Algorithms | en_GB |
dc.subject | Artificial intelligence | en_GB |
dc.subject | Online social networks | en_GB |
dc.subject | Human-computer interaction | en_GB |
dc.title | Using reinforcement learning and artificial evolution for the detection of group identities in complex adaptive artificial societies | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | 15th Annual Conference Companion on Genetic and Evolutionary Computation | en_GB |
dc.bibliographicCitation.conferenceplace | Amsterdam, The Netherlands, 06-10/07/2013 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1145/2464576.2464589 | - |
Appears in Collections: | Scholarly Works - InsDG |
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File | Description | Size | Format | |
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GrappioloTogeliusYannakakis_GECCO13 (1).pdf | 445.87 kB | Adobe PDF | View/Open |
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