Abstract
This paper presents a dramatic game for the self-regulation of social exchange processes in multi-agent systems, called Natyasastra, based on the concepts of Drama Theory. The model has five phases of dramatic resolution, which involve feelings, emotions, trust and reputation. Agents with different social exchange strategies interact among each other in order to maximize their strategy-based fitness functions. The objective is to obtain a more natural model than the ones existing in the literature, which are based either on (partially observable) Markov decision processes or in game theory, so that it can be applied in real-world applications. We aim at promoting more balanced and fair multi-agent interactions, increasing the number of successful social exchanges and, thus, promoting the continuity of social exchanges. The simulations showed that there is an improvement of fitness along time, as result of the self-regulation of the interactions. The agents have evolved their social exchange strategies, and other strategies, different from the original ones, have emerged in the society, so contributing to this evolution. This game was implemented in NetLogo.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
BDI stands for “Beliefs, Desires, Intentions”, a cognitive agent model introduced in [20].
- 2.
A very initial proposal of this model was presented in [27].
- 3.
Natyasastra is a text on the theatre, written between 200 BC and 200 AC in India, by a prophet, Bharata, which manifests itself in sensitivities, reasons and feelings.
- 4.
See [14] for a discussion on the Nash Equilibrium of the Game of Social Exchange Processes.
References
Adamatti, D.F., Bazzan, A.: Afrodite - ambiente de simulação baseado em agentes com emoções. In: Proceedings of ABS 2003 - Agent Based Simulation, Montpellier (2003)
Bordini, R.H., Hübner, J.F., Wooldrige, M.: Programming Multi-agent Systems in AgentSpeak Using Jason. Wiley Series in Agent Technology. Wiley, Chichester (2007)
Pereira Dimuro, G., da Rocha Costa, A.C., Vargas Gonçalves, L., Hübner, A.: Centralized regulation of social exchanges between personality-based agents. In: Noriega, P., Vázquez-Salceda, J., Boella, G., Boissier, O., Dignum, V., Fornara, N., Matson, E. (eds.) COIN -2006. LNCS (LNAI), vol. 4386, pp. 338–355. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74459-7_22
Dimuro, G.P., Costa, A.C.R., Palazzo, L.: Systems of exchange values as tools for multi-agent organizations. J. Braz. Comput. Soc. 11, 27–40 (2005)
Dimuro, G.P., Costa, A.R.C., Gonçalves, L.V., Pereira, D.: Recognizing and learning models of social exchange strategies for the regulation of social interactions in open agent societies. J. Braz. Comput. Soc. 17, 143–161 (2011)
Dimuro, G.P., da Rocha Costa, A.C.: Regulating social exchanges in open MAS: the problem of reciprocal conversions between POMDPs and HMMs. Inf. Sci. 323, 16–33 (2015)
Hübner, J.F., Vercouter, L., Boissier, O.: Instrumenting multi-agent organisations with artifacts to support reputation processes. In: Hübner, J.F., Matson, E., Boissier, O., Dignum, V. (eds.) COIN -2008. LNCS (LNAI), vol. 5428, pp. 96–110. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-00443-8_7
Howard, N.: Soft game theory. Inf. Decis. Technol. 16, 215–227 (1990)
Howard, N.: Drama theory and its relation to game theory. Part 1: dramatic resolution vs. rational solution. Group Decis. Negot. 3(2), 187–206 (1994)
Howard, N.: Drama theory and its relation to game theory. Part 2: formal model of the resolution process. Group Decis. Negot. 3(2), 207–235 (1994)
Howard, N.: Oedipus, decision-maker: theory of drama and conflict resolution (2006). http://aconflict.ru/wp-content/uploads/oedipus_chap1.pdf. Acessed Jan 2016
Huynh, T.D., Jennings, N.R., Shadbolt, N.R.: An integrated trust and reputation model for open multi-agent systems. JAAMAS 13(2), 119–154 (2006)
Leyton-Brown, K., Shoham, Y.: Essentials of Game Theory: A concise, Multidisciplinary Introduction. Morgan & Claypool, California (2008)
Macedo, L.F.K., Dimuro, G.P., Aguiar, M.S., Coelho, H.: An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS. In: Schaub, T., Friedrich, G., O’Sullivan, B. (eds.) ECAI 2014–21st European Conference on Artificial Intelligence, Proceedings. pp. 573–578, no. 263 in Frontier in Artificial Intelligence and Applications, IOS Press, Netherlands (2014)
Marsh, S.: Formalising trust as a computational concept. Ph.D. thesis, University of Stirling (1994)
Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1988)
Pereira, D.R., Gonçalves, L.V., Dimuro, G.P., Costa, A.C.R.: Towards the self-regulation of personality-based social exchange processes in multiagent systems. In: Zaverucha, G., da Costa, A.L. (eds.) SBIA 2008. LNCS (LNAI), vol. 5249, pp. 113–123. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-88190-2_17
Piaget, J.: Sociological Studies. Routlege, London (1995)
Rabin, M.: Incorporating fairness into game theory and economics. Am. Econ. Rev. 86(5), 1281–1302 (1993)
Rao, A.S., Georgeff, M.P.: Modeling rational agents within a BDI-architecture. In: Fikes, R., Sandewall, E. (eds.) Proceedings 2nd International Conference on Principles of Knowledge Representation and Reasoning, pp. 473–484. Morgan Kaufmann, San Mateo (1991)
Rodrigues, H.D.N., Adamatti, D.F., Dimuro, G.P., Dimuro, G., de Manuel Jerez, E.: Simulating reputation with regulatory policies: the case of San Jerónimo Vegetable garden, Seville, Spain. In: Demazeau, Y., Ito, T., Bajo, J., Escalona, M.J. (eds.) PAAMS 2016. LNCS (LNAI), vol. 9662, pp. 195–206. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39324-7_17
Rodrigues, M.R.: Social techniques for effective interactions in open cooperative systems. Ph.D. thesis, University of Southampton, Southhampton (2007)
Sabater, J., Sierra, C.: Regret: A reputation model for gregarious societies. In: Proceedings of the Fourth Workshop on deception Fraud and Trust in Agent Societies, pp. 61–70 (2001)
Sabater, J., Sierra, C.: Reputation and social network analysis in multi-agent systems. In: Proceedings of AAMAS 2002, pp. 475–482. ACM (2002)
Sabater, J., Sierra, C.: Review on computational trust and reputation models. Artif. Intell. Rev. 24(1), 33–60 (2005)
Von Laer, A., Dimuro, G.P., Adamatti, D.F.: Analysing the influence of the cultural aspect in the self-regulation of social exchanges in MAS societies: an evolutionary game-based approach. In: Pereira, F., Machado, P., Costa, E., Cardoso, A. (eds.) EPIA 2015. LNCS (LNAI), vol. 9273, pp. 673–686. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-23485-4_68
Wotter, R.G., Adamatti, D.F., Dimuro, G.P.: Self-regulation of social exchange processes: a model based in drama theory. In: Bajo, J., et al. (eds.) PAAMS 2016. CCIS, vol. 616, pp. 161–172. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39387-2_14
Xianyu, B.: Social preference, incomplete information, and the evolution of ultimatum game in the small world networks: an agent-based approach. JASSS 13, 2 (2010)
Yu, H., Miao, C., An, B., Shen, Z., Leung, C.: Reputation-aware task allocation for human trustees. In: Proceedings of AAMAS 2014, pp. 357–364. IFAAMAS/ACM, New York (2014)
Acknowledgments
Thanks to CNPq (Proc. No. 306970/2013-9).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Wotter, R.G., de Farias Traversi, N., Costa, L.T., Dimuro, G.P., Adamatti, D.F. (2018). NATYASASTRA: A Dramatic Game for the Self-Regulation of Social Exchange Processes in MAS. In: Dimuro, G., Antunes, L. (eds) Multi-Agent Based Simulation XVIII. MABS 2017. Lecture Notes in Computer Science(), vol 10798. Springer, Cham. https://doi.org/10.1007/978-3-319-91587-6_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-91587-6_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-91586-9
Online ISBN: 978-3-319-91587-6
eBook Packages: Computer ScienceComputer Science (R0)