Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/123605
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dc.creatorMarinheiro, J
dc.creatorHenrique Lopes Cardoso
dc.date.accessioned2019-11-10T00:06:05Z-
dc.date.available2019-11-10T00:06:05Z-
dc.date.issued2018
dc.identifier.othersigarra:363690
dc.identifier.urihttps://hdl.handle.net/10216/123605-
dc.description.abstractAttempts to develop generic approaches to game playing have been around for several years in the field of Artificial Intelligence. However, games that involve explicit cooperation among otherwise competitive players cooperative negotiation games have not been addressed by current approaches. Yet, such games provide a much richer set of features, related with social aspects of interactions, which make them appealing for envisioning real-world applications. This work proposes a generic agent architecture Alpha to tackle cooperative negotiation games, combining elements such as search strategies, negotiation, opponent modeling and trust management. The architecture is then validated in the context of two different games that fall in this category Diplomacy and Werewolves. Alpha agents are tested in several scenarios, against other state-of-the-art agents. Besides highlighting the promising performance of the agents, the role of each architectural component in each game is assessed. (c) Springer International Publishing AG, part of Springer Nature 2018.
dc.language.isoeng
dc.rightsopenAccess
dc.titleTowards general cooperative game playing
dc.typeCapítulo ou Parte de Livro
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1007/978-3-319-78301-7_8
dc.identifier.authenticusP-00N-XQ1
Appears in Collections:FEUP - Capítulo ou Parte de Livro

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