Coordination, Organizations, Institutions, and Norms in - download pdf or read online

By Tina Balke, Frank Dignum, M. Birna van Riemsdijk, Amit K. Chopra (eds.)

ISBN-10: 3319073133

ISBN-13: 9783319073132

ISBN-10: 3319073141

ISBN-13: 9783319073149

This publication constitutes the completely refereed court cases of the ninth overseas Workshops on Coordination, businesses, associations and Norms in Agent structures, COIN 2013. The workshops have been co-located with AAMAS 2013, held in St. Paul, MN, united states in could 2013, and with PRIMA 2013, held in Dunedin, New Zealand, in December 2013. The 18 complete papers have been rigorously reviewed and chosen from 28 submissions and are awarded including invited papers. The papers are prepared in topical sections equivalent to coordination, agencies, associations, norms, norm clash, and norm-aware agents.

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Additional resources for Coordination, Organizations, Institutions, and Norms in Agent Systems IX: COIN 2013 International Workshops, COIN@AAMAS, St. Paul, MN, USA, May 6, 2013, COIN@PRIMA, Dunedin, New Zealand, December 3, 2013, Revised Selected Papers

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Notice that in [21] an appendix may be found with more implementable but less expressive versions of dolce, that are called dolce-Lite. 1 Foundational Ontology We present some features of dolce-core, the ground ontology, in order to show that they allow for keeping track of the rich structure of information in a sociotechnical system. For an introduction to dolce-core, we refer to [2], here we simply point at the relevant features. The ontology partitions the objects of discourse, labelled particulars pt into the following six basic categories: objects o, events e, individual qualities q, regions r, concepts c, and arbitrary sums as.

Essai sur l’application de l’analyse a la probabilite des decisions rendues a la pluralite des voix. L’Imprimerie Royale (1785) 8. : Optimal voting rules. J. Econ. Perspect. 9(1), 51–64 (1995) 9. : Common voting rules as maximum likelihood estimators. In: Uncertainty in Artificial Intelligence: Proceedings of the Twentieth Conference (UAI2005), pp. 145–152. Morgan Kaufmann Publishers (2005) 10. : Computational voting theory: game-theoretic and combinatorial aspects. D. thesis, Duke University, Durham (2011) 11.

Marcolino et al. Conclusion and Discussions We showed that diverse teams can outperform teams composed by copies of the best player. However, it is still a challenge to find the best possible teams. In an open multi-agent system the pdfs of the agents are generally not available. Moreover, in many complex scenarios we cannot even easily enumerate all the possible states of the world. Hence, given a world state, how can we quickly and automatically know the relative strength of the different agents?

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Coordination, Organizations, Institutions, and Norms in Agent Systems IX: COIN 2013 International Workshops, COIN@AAMAS, St. Paul, MN, USA, May 6, 2013, COIN@PRIMA, Dunedin, New Zealand, December 3, 2013, Revised Selected Papers by Tina Balke, Frank Dignum, M. Birna van Riemsdijk, Amit K. Chopra (eds.)


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