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ORCID16th EUMAS 2018: Bergen, Norway
- Marija Slavkovik:
Multi-Agent Systems - 16th European Conference, EUMAS 2018, Bergen, Norway, December 6-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11450, Springer 2019, ISBN 978-3-030-14173-8 - Martin C. Cooper, Andreas Herzig, Frédéric Maris, Julien Vianey:
Temporal Epistemic Gossip Problems. 1-14 - Massimo Cossentino
, Luca Sabatucci, Salvatore Lopes:
Partial and Full Goal Satisfaction in the MUSA Middleware. 15-29 - Riccardo De Masellis, Valentin Goranko, Stefan Gruner, Nils Timm:
Generalising the Dining Philosophers Problem: Competitive Dynamic Resource Allocation in Multi-agent Systems. 30-47 - Rubén Fuentes-Fernández, Jorge J. Gómez-Sanz:
Interpreting Information in Smart Environments with Social Patterns. 48-61 - Athina Georgara, Thalia Ntiniakou, Georgios Chalkiadakis:
Learning Hedonic Games via Probabilistic Topic Modeling. 62-76 - Stavros Gerakaris, Subramanian Ramamoorthy:
Learning Best Response Strategies for Agents in Ad Exchanges. 77-93 - Ioannis Gkourtzounis, Emmanouil S. Rigas, Nick Bassiliades:
Towards Online Electric Vehicle Scheduling for Mobility-On-Demand Schemes. 94-108 - Rica Gonen, Ozi Egri:
Two-Sided Markets: Mapping Social Welfare to Gain from Trade. 109-126 - Jitka Homolová, Anastasija Cernecka, Tatiana V. Guy, Miroslav Kárný:
Affective Decision-Making in Ultimatum Game: Responder Case. 127-139 - Timotheus Kampik, Juan Carlos Nieves, Helena Lindgren:
Implementing Argumentation-Enabled Empathic Agents. 140-155 - Miroslav Kárný, Zohreh Alizadeh:
Towards Fully Probabilistic Cooperative Decision Making. 156-171 - Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Endorsement in Referral Networks. 172-187 - Michail-Angelos Papilaris, Georgios Chalkiadakis:
Markov Chain Monte Carlo for Effective Personalized Recommendations. 188-204 - Sjur K. Dyrkolbotn, Truls Pedersen:
Computing Consensus: A Logic for Reasoning About Deliberative Processes Based on Argumentation. 205-219 - Kshitija Taywade, Judy Goldsmith, Brent Harrison:
Decentralized Multiagent Approach for Hedonic Games. 220-232 - Konstantia Xenou, Georgios Chalkiadakis, Stergos D. Afantenos:
Deep Reinforcement Learning in Strategic Board Game Environments. 233-248 - Fabio Massimo Zennaro, Magdalena Ivanovska:
Counterfactually Fair Prediction Using Multiple Causal Models. 249-266
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