Abstract
Norms influence behaviour in many ways. In situations such as the COVID-19 pandemic where the effect of policies on the spread of the virus is evaluated, this leads to disputes about their effectiveness. In order to build agent-based social simulations that give proper support for this evaluation process we need agents that properly deal with norms. In this paper we present a new agent deliberation architecture that takes more aspects of norms into account than traditional architectures have done. Dealing properly with norms means that agents can reason through the consequences of the norms, that they are used to motivate and not just constrain behaviour, and that the agents can violate the norm as well. For the former we use the ideas of perspectives on norms, while the latter is enabled through the use of values. Within our architecture we can also represent habitual behaviour, context sensitive planning, and through the use of landmarks, reactive planning. We use the example of a restaurant-size based restriction to show how our architecture works.
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References
Axelrod, R.: An evolutionary approach to norms. Am. Polit. Sci. Rev. 80(04), 1095–1111 (1986). https://doi.org/10.2307/1960858
Brennan, G., Eriksson, L., Goodin, R.E., Southwood, N.: Explaining Norms. Oxford University Press, Oxford (2013)
Broersen, J., Dastani, M., Hulstijn, J., Huang, Z., van der Torre, L.: The BOID architecture: conflicts between beliefs, obligations, intentions and desires. In: Proceedings of the Fifth International Conference on Autonomous Agents, pp. 9–16. Association for Computing Machinery, New York (2001)
Castelfranchi, C.: Guarantees for autonomy in cognitive agent architecture. In: Wooldridge, M.J., Jennings, N.R. (eds.) ATAL 1994. LNCS, vol. 890, pp. 56–70. Springer, Heidelberg (1995). https://doi.org/10.1007/3-540-58855-8_3
Castelfranchi, C., Dignum, F., Jonker, C.M., Treur, J.: Deliberative normative agents: principles and architecture. In: Jennings, N.R., Lespérance, Y. (eds.) ATAL 1999. LNCS (LNAI), vol. 1757, pp. 364–378. Springer, Heidelberg (2000). https://doi.org/10.1007/10719619_27
Conte, R., Andrighetto, G., Campennl, M.: Minding Norms: Mechanisms and Dynamics of Social Order in Agent Societies. Oxford University Press, New York (2014)
Dignum, F.: Autonomous agents with norms. Artif. Intell. Law 7, 69–79 (1999). https://doi.org/10.1023/A:1008315530323
Dignum, F.: Interactions as social practices: towards a formalization. arXiv preprint arXiv:1809.08751 (2018)
Dignum, F.: Foundations of social simulations for crisis situations. In: Dignum, F. (ed.) Social Simulation for a Crisis. CSS, pp. 15–37. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-76397-8_2
Dignum, F. (ed.): Social Simulation for a Crisis. CSS, Springer, Cham (2021). https://doi.org/10.1007/978-3-030-76397-8
Dignum, V., Dignum, F.: Coordinating tasks in agent organizations. In: Noriega, P., et al. (eds.) COIN -2006. LNCS (LNAI), vol. 4386, pp. 32–47. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74459-7_3
Fagundes, M.S., Ossowski, S., Cerquides, J., Noriega, P.: Design and evaluation of norm-aware agents based on normative Markov decision processes. Int. J. Approx. Reason. 78, 33–61 (2016)
Gilbert, N., Ahrweiler, P., Barbrook-Johnson, P., Narasimhan, K.P., Wilkinson, H.: Computational modelling of public policy: reflections on practice. J. Artif. Soc. Soc. Simul. 21(1), 14 (2018). https://doi.org/10.18564/jasss.3669
Heidari, S., Jensen, M., Dignum, F.: Simulations with values. In: Verhagen, H., Borit, M., Bravo, G., Wijermans, N. (eds.) Advances in Social Simulation. SPC, pp. 201–215. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-34127-5_19
Jager, W., van der Vegt, G.: Management of complex systems: toward agent-based gaming for policy. In: Janssen, M., Wimmer, M.A., Deljoo, A. (eds.) Policy Practice and Digital Science. PAIT, vol. 10, pp. 291–303. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-12784-2_13
Jensen, M., Vanhée, L., Kammler, C.: Social simulations for crises: from theories to implementation. In: Dignum, F. (ed.) Social Simulation for a Crisis. CSS, pp. 39–84. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-76397-8_3
Kammler, C., Dignum, F., Wijermans, N., Lindgren, H.: Changing perspectives: adaptable interpretations of norms for agents. In: Van Dam, K.H., Verstaevel, N. (eds.) MABS 2021. LNCS (LNAI), vol. 13128, pp. 139–152. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-94548-0_11
Marien, S., Hooghe, M.: Does political trust matter? An empirical investigation into the relation between political trust and support for law compliance. Eur. J. Political Res. 50(2), 267–291 (2011)
Mellema, R., Jensen, M., Dignum, F.: Social rules for agent systems. In: Aler Tubella, A., Cranefield, S., Frantz, C., Meneguzzi, F., Vasconcelos, W. (eds.) COIN/COINE 2017/2020. LNCS (LNAI), vol. 12298, pp. 175–180. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-72376-7_10
Meneguzzi, F., Rodrigues, O., Oren, N., Vasconcelos, W.W., Luck, M.: BDI reasoning with normative considerations. Eng. Appl. Artif. Intell. 43, 127–146 (2015)
Panagiotidi, S., Alvarez-Napagao, S., Vázquez-Salceda, J.: Towards the norm-aware agent: bridging the gap between deontic specifications and practical mechanisms for norm monitoring and norm-aware planning. In: Balke, T., Dignum, F., van Riemsdijk, M.B., Chopra, A.K. (eds.) COIN 2013. LNCS (LNAI), vol. 8386, pp. 346–363. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07314-9_19
Rao, A.S., Georgeff, M.P., et al.: BDI agents: from theory to practice. In: Lesser, V., Gasser, L. (eds.) Proceedings of the First International Conference on Multiagent Systems, vol. 95, pp. 312–319. MIT Press, Cambridge (1995)
Rohan, M.J.: A rose by any name? The values construct. Pers. Soc. Psychol. Rev. 4(3), 255–277 (2000)
Rosewell, B.: Complexity science and the art of policy making. In: Johnson, J., Nowak, A., Ormerod, P., Rosewell, B., Zhang, Y.-C. (eds.) Non-Equilibrium Social Science and Policy. UCS, pp. 159–178. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-42424-8_11
Schwartz, S.H., Bilsky, W.: Toward a universal psychological structure of human values. J. Pers. Soc. Psychol. 53(3), 550 (1987)
Segura, D.V.: Social norms for self-policing multiagent systems and virtual societies. Universitat Autonoma de Barcelona (2012)
Vecht, B.V.D.: Adjustable autonomy: controling influences on decision making. Universiteit Utrecht, Utrecht (2009)
Zimmermann, A., Lorenz, A., Oppermann, R.: An operational definition of context. In: Kokinov, B., Richardson, D.C., Roth-Berghofer, T.R., Vieu, L. (eds.) CONTEXT 2007. LNCS (LNAI), vol. 4635, pp. 558–571. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74255-5_42
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Kammler, C., Mellema, R., Dignum, F. (2023). Agents Dealing with Norms and Regulations. In: Lorig, F., Norling, E. (eds) Multi-Agent-Based Simulation XXIII. MABS 2022. Lecture Notes in Computer Science(), vol 13743. Springer, Cham. https://doi.org/10.1007/978-3-031-22947-3_11
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