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2018 | OriginalPaper | Buchkapitel

Benchmark for Coalitions at Multiagent Systems in a Robotic Soccer Simulation Environment

verfasst von : Eder Mateus Nunes Gonçalves, Diana Adamatti, Telmo dos Santos Klipp

Erschienen in: Multi-Agent Based Simulation XVIII

Verlag: Springer International Publishing

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Abstract

This paper presents a benchmark for multiagent systems specific to the simulator Soccerserver 2D, an environment to develop teams of robotic soccer, providing metrics and evaluation procedures for multiagent organization schemes, more specifically, coalitions formation. This benchmark has considered a MAS with two main levels, at least: (i) individual level, where agents are implemented from requisites of a social structure and considering its individual capabilities (roles, skills, etc); (ii) a social level, where all the social aspects of the MAS are specified (organization, plans, goals, etc.) and where the individual level of each agent instantiates these social knowledge to act in the system. The method proposed here has applied at social level, once it measures the quantity and quality of coalitions that arise in the environment.

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Vorheriges Kapitel Multi-agency Problem in Financial Markets

Nächstes Kapitel The Agent Rationality in the Doom Loop of Sovereign Debt: An Agent-Based Model Simulation of Systemic Risk Emergence Process

Here, we consider a complex environment those in the [20] sense: partially observable, stochastic, dynamic and unknown.

Once team tokA1 was not available, it was not considered in experiments.

Almeida, F., Abreu, P.H., Lau, N., Reis, L.P.: An automatic approach to extract goal plans from soccer simulated matches. Soft. Comput. 17(5), 835–848 (2013)CrossRef

Barrett, S., Stone, P., Kraus, S.: Empirical evaluation of ad hoc teamwork in the pursuit domain. In: Proceedings of 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2011

Bezek, A.: Modeling multiagent games using action graphs. In: Proceedings of Modeling Other Agents from Observations (MOO 2004) (2004)

Chen, M., Foroughi, E., Heintz, F., Huang, Z.X., Kapetanakis, S., Kostiadis, K., Johan Kummeneje, I.N., Obst, O., Riley, P., Timo Steffens, Y.W., Yin, X.: RoboCup Soccer Server: for Soccer Server Version 7.07 and later, May 2001. www.robocup.org

Cliff, O.M., Lizier, J.T., Wang, X.R., Wang, P., Obst, O., Prokopenko, M.: Towards quantifying interaction networks in a football match. In: Behnke, S., Veloso, M., Visser, A., Xiong, R. (eds.) RoboCup 2013. LNCS (LNAI), vol. 8371, pp. 1–12. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-44468-9_1CrossRef

da Cunha Abreu, P.M.H.: Artificial intelligence methodologies applied to the analysis and optmization of soccer teams performance. Master’s thesis, Faculdade de Engenharia da Universidade do Porto - Universidade do Porto (2011)

da Rosa, A.M., Gularte, A., Jung, M., Gonçalves, E.M.: Two different perspectives about how to specify and implement multiagent systems. In: Anais do VII Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações, pp. 141–144 (2013)

Drogoul, A., Collinot, A.: Applying an agent-oriented methodology to the design of artificial organizations: a case study in robotic soccer. Auton. Agents Multi-agent Syst. 1(1), 113–129 (1998)CrossRef

Fox, M.S.: An organizational view of distributed systems. IEEE Trans. Syst. Man Cybern. 11(1), 70–80 (1981)CrossRef

10.

Horling, B., Lesser, V.: A survey of multi-agent organizational paradigms. Knowl. Eng. Rev. 19(04), 281–316 (2004)CrossRef

11.

Houhamdi, Z.: Multi-agent system testing: a survey. Int. J. Adv. Comput. 2(6), 135–141 (2011)

12.

Hsu, F.-H.: IBM’s deep blue chess grandmaster chips. IEEE Micro 19(2), 70–81 (1999)CrossRef

13.

Iglesias, J.A., Ledezma, A., Sanchis, A.: The RoboCup agent behavior modeling challenge (2010)

14.

Karimi, M., Ahmazadeh, M.: Mining RoboCup log files to predict own and opponent action. Int. J. Adv. Res. Comput. Sci. 5(6), 27–32 (2014)

15.

Kitano, H., Asada, M., Kuniyoshi, Y., Noda, I., Osawa, E.: RoboCup: the robot world cup initiative. In: The First International Conference on Autonomous Agent (Agents 1997) (1997)

16.

Miles, S., Winikoff, M., Cranefield, S., Nguyen, C.D., Perini, A., Tonella, P., Harman, M., Luck, M.: Why testing autonomous agents is hard and what can be done about it. In: AOSE Technical Forum (2010). http://www.pa.icar.cnr.it/cossentino/AOSETF10/docs/miles.pdf

17.

Nardi, D., Noda, I., Ribeiro, F., Stone, P., von Stryk, O., Veloso, M.: RoboCup soccer leagues. AI Mag. 35(3), 77–85 (2014)CrossRef

18.

Nguyen, C.D., Miles, S., Perini, A., Tonella, P., Harman, M., Luck, M.: Evolutionary testing of autonomous software agents. Auton. Agents Multi-agent Syst. 25(2), 260–283 (2012)CrossRef

19.

Riley, P., Stone, P., Veloso, M.: Layered disclosure: revealing agents’ internals. In: Castelfranchi, C., Lespérance, Y. (eds.) ATAL 2000. LNCS (LNAI), vol. 1986, pp. 61–72. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-44631-1_5CrossRefMATH

20.

Russel, S., Norvig, P.: Artificial Intelligence, A Modern Approach. Alan Apt (1995)

21.

Sivakumar, N., Vivekanandan, K.: Agent oriented software testing-role oriented approach. Editorial Preface 3(12) (2012)

22.

Stone, P., Kaminka, G.A., Kraus, S., Rosenschein, J.S., et al.: Ad hoc autonomous agent teams: collaboration without pre-coordination. In: AAAI (2010)

Titel: Benchmark for Coalitions at Multiagent Systems in a Robotic Soccer Simulation Environment
verfasst von: Eder Mateus Nunes Gonçalves
Diana Adamatti
Telmo dos Santos Klipp
Verlag: Springer International Publishing
Buch: Multi-Agent Based Simulation XVIII
Print ISBN: 978-3-319-91586-9

Electronic ISBN: 978-3-319-91587-6

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-91587-6_13

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