Abstract
Following a couple of models aiming to assess the effectiveness of norms in Madagascar on the MIMOSA platform, Müller et al., have noticed that the current architecture was not expressive enough to deal with all relevant norms, their different aspects, and how they interfere with the agent’s behavior for such complex systems. In response, this paper proposes a new agent architecture and its dedicated language to enhance the expressiveness of norms in agent-based modeling. The architecture has to (1) identify all the applicable norms given a temporal, spatial, and social context, and (2) generate an agent behavior to account for these norms. We propose to extend automated planning and use a Model-Driven Engineering approach to build the abstract and concrete syntaxes of the language and its semantics. The resulting architecture will allow modelers to express a wider spectrum of norms and provides a normative decision tool that will ease further discussions and interpretations.
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
References
Aubert, S., Müller, J.-P., Ralihalizara, J.: MIRANA: a socio-ecological model for assessing sustainability of community-based regulations. Int. Environ. Model. Softw. Soc. (iEMSs) 801–808 (2010)
Aubert, S., Müller, J.-P.: Incorporating institutions, norms and territories in a generic model to simulate the management of renewable resources. Artif. Intell. Law 21(1), 47–78 (2013)
Müller, J.-P.: The mimosa generic modeling and simulation platform: the case of multi-agent systems. In: Proceedings of the 5th Workshop on Agent-Based Simulation, Lisbon, 2004. SCS. s.l.: s.n., 77–86. International Workshop on Agent-Based Simulation, 5, Lisbonne, Portugal, 3 Mai 2004/5 Mai 2004 (2004)
Broersen, J., Dastani, M., Hulstijn, J., van der Torre, L.: Goal generation in the BOID architecture. Cogn. Sci. Q. 2(3–4), 428–447 (2002)
Kollingbaum, M.J., Norman, T.J.: NoA-a normative agent architecture. In: IJCAI, pp. 1465–1466 (2003)
dos Santos Neto, B.F., da Silva, V.T., de Lucena, CJ.: Developing goal-oriented normative agents: the NBDI architecture. In : International Conference on Agents and Artificial Intelligence, pp. 176–191. Springer, Berlin, Heidelberg (2011)
Rao, A.S., Georgeff, M.P.: Modeling rational agents within a BDI-architecture. In: Fikes, R., Sandewall, E. (eds.) Proceedings of Knowledge Representation and Reasoning (KR&R-91), pp. 473–484. Morgan Kaufmann Publishers, San Mateo, CA (1991)
Müller, J.P., Raharivelo, S.O.: Un méta-modèle pour représenter les normes dans un contexte multi-institutionnel territorialisé. Cépaduès (2017)
Cialdini, R.B., Trost, M.R.: Social influence: social norms, conformity and compliance. In: D.T. Gilbert, S.T. Fiske, G. Lindzey (eds.) The Handbook of Social Psychology, pp. 151–192. McGraw-Hill (1998)
Shoham, Y., & Tennenholtz, M.: On the synthesis of useful social laws for artificial agent societies (preliminary report). In: AAAI, pp. 276–281 (1992)
Dignum, V., Vázquez Salceda, J., Dignum, F.O.: Introducing Social Structure, Norms and Ontologies into Agent Organizations. Springer, pp 181–198 (2004)
Fornara, N., et al.: Modeling agent institutions. In: Agreement Technologies, pp. 277–307. Springer, Dordrecht (2013)
Ostrom, E.: Understanding Institutional Diversity. Princeton University Press (2009)
Crawford, S., Ostrom, E.: A grammar of institutions. Am. Polit. Sci. Rev. 89(3), 582–600 (1995)
Interis, M.: On norms: a typology with discussion. Am. J. Econ. Sociol. 70(2), 424–438 (2011)
Raharivelo, S.O., Müller, J.-P.: Un modèle de norme intégrant les conditions spatio-tem-porelles. In: JFSMA 2018. Systèmes Multi-Agents: Distribution et Décentralisation, pp 117–126. Cé-paduès (2018)
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice Hall/Pearson Education (2003)
Kvarnström, J.: Planning for loosely coupled agents using partial order forward-chaining. In: Twenty-First International Conference on Automated Planning and Scheduling (2011)
Fikes, R.E., Nilsson, N.: STRIPS: a new approach to the application of theorem proving to problem solving. Artif. Intell. 2(3–4), 189–208 (1971)
Chapman, D.: Planning for conjunctive goals. Artif. Intell. 32(3), 333–377 (1987).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ramarozaka, T., Müller, JP., Rakotonirainy, H.L. (2023). Extending Partial-Order Planning to Account for Norms in Agent Behavior. In: Squazzoni, F. (eds) Advances in Social Simulation. ESSA 2022. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-34920-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-031-34920-1_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-34919-5
Online ISBN: 978-3-031-34920-1
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)