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Monitoring the Impact of Norms upon Organisational Performance: A Simulation Approach

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Coordination, Organizations, Institutions, and Norms in Agent Systems IX (COIN 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8386))

Abstract

Normative organisations use norms to guide and constrain agent behaviour in order to facilitate cooperation. Norms and their associated enforcement strategies are chosen to further organisational goals, but the effect that a norm has upon organisational performance may change over time in a dynamic environment and behaviour that is desirable in one environment may come to be harmful in another. In this paper we seek to answer the question — how can an organisation detect when a norm is no longer supporting its goals? Specifically, how can it monitor the impact of a norm upon its performance? This paper has three contributions: first, we detail a model which relates an organisation’s norms to its performance, second, we propose a mechanism for monitoring the impact of a norm upon that performance using a simulation approach, and finally we describe an implementation of our mechanism.

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Notes

  1. 1.

    Our representation is a simpler version of Andrighetto et al.’s [1]; we do not include norm defender or source since norms are imposed by the organisation and self-enforced by agents themselves.

  2. 2.

    If the agent playing a role changes, then these assumptions may be incorrect — we leave this for future work.

  3. 3.

    Jason internal actions are Java functions that allow agents to perform actions not related to their environment, such as writing to a log file.

  4. 4.

    In a MAS with \(n\) norms, there are potentially \(2^n\) combinations that could be monitored.

References

  1. Andrighetto, G., Campenni, M., Conte, R., Paolucci, M.: On the immergence of norms: a normative agent architecture. In: Proceedings of the AAAI Symposium, Social and Organizational Aspects of Intelligence (2007)

    Google Scholar 

  2. Boella, G., Governatori, G., Rotolo, A., van der Torre, L.: Lex Minus Dixit Quam Voluit, Lex Magis Dixit Quam Voluit: A formal study on legal compliance and interpretation. In: Casanovas, P., Pagallo, U., Sartor, G., Ajani, G. (eds.) AICOL Workshops 2009. LNCS, vol. 6237, pp. 162–183. Springer, Heidelberg (2010)

    Google Scholar 

  3. Bordini, R.H., Hübner, J.F.: BDI agent programming in AgentSpeak using Jason. In: Toni, F., Torroni, P. (eds.) CLIMA 2005. LNCS (LNAI), vol. 3900, pp. 143–164. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Bratman, M.E., Israel, D.J., Pollack, M.E.: Plans and resource-bounded practical reasoning. Comput. Intell. 4(4), 349–355 (1988)

    Article  Google Scholar 

  5. Carley, K.M., Gasser, L.: Computational organization theory. In: Weiss, G. (ed.) Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge (1999)

    Google Scholar 

  6. Centeno, R., Billhardt, H.: Using incentive mechanisms for an adaptive regulation of open multi-agent systems. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence, pp. 139–145 (2011)

    Google Scholar 

  7. Centeno, R., Billhardt, H., Hermoso, R., Ossowski, S.: Organising MAS: a formal model based on organisational mechanisms. In: Proceedings of the 2009 ACM Symposium on Applied Computing, pp. 740–746. ACM (2009)

    Google Scholar 

  8. Dastani, M., Dignum, V., Dignum, F.: Role-assignment in open agent societies. In: Proceedings of the 2nd International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 489–496. ACM (2003)

    Google Scholar 

  9. Dignum, F., Morley, D., Sonenberg, E.A., Cavedon, L.: Towards socially sophisticated BDI agents. In: Proceedings of the 4th International Conference on Multi-Agent Systems, pp. 111–118 (2000)

    Google Scholar 

  10. Dignum, V., Dignum, F.: Understanding organizational congruence: formal model and simulation framework. In: Proceedings of the 2007 Spring Simulation Multiconference, vol. 2, pp. 178–184 (2007)

    Google Scholar 

  11. Doherty, P., Rudol, P.: A UAV search and rescue scenario with human body detection and geolocalization. In: Orgun, M.A., Thornton, J. (eds.) AI 2007. LNCS (LNAI), vol. 4830, pp. 1–13. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  12. Hannoun, M., Boissier, O., Sichman, J.S., Sayettat, C.: MOISE: an organizational model for multi-agent systems. In: Monard, M.C., Sichman, J.S. (eds.) IBERAMIA-SBIA 2000. LNCS (LNAI), vol. 1952, pp. 156–165. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  13. Horling, B., Lesser, V.: A survey of multi-agent organizational paradigms. Knowl. Eng. Rev. 19(4), 281–316 (2004)

    Article  Google Scholar 

  14. Koeppen, J., Lopez-Sanchez, M., Morales, J., Esteva, M.: Learning from experience to generate new regulations. In: De Vos, M., Fornara, N., Pitt, J.V., Vouros, G. (eds.) COIN 2010. LNCS, vol. 6541, pp. 337–356. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  15. Lopez y Lopez, F., Luck, M.: Modelling norms for autonomous agents. In: Proceedings of the 4th Mexican International Conference on Computer Science, pp. 238–245, September 2003

    Google Scholar 

  16. Merchant, K.A.: The control function of management. Sloan Manag. Rev. 23(4), 43–55 (1982)

    Google Scholar 

  17. Modgil, S., Faci, N., Meneguzzi, F., Oren, N., Miles, S., Luck, M.: A framework for monitoring agent-based normative systems. In: Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems, pp. 153–160 (2009)

    Google Scholar 

  18. Oren, N., Vasconcelos, W., Meneguzzi, F., Luck, M.: Acting on norm constrained plans. In: Leite, J., Torroni, P., Ågotnes, T., Boella, G., van der Torre, L. (eds.) CLIMA XII 2011. LNCS, vol. 6814, pp. 347–363. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  19. Rao, A.S.: AgentSpeak(L): BDI agents speak out in a logical computable language. In: Van de Velde, W., Perram, J.W. (eds.) Agents Breaking Away. LNCS, vol. 1038, pp. 42–55. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  20. Sen, S., Airiau, S.: Emergence of norms through social learning. In: Proceedings of the 20th International Joint Conference on Artifical Intelligence, pp. 1507–1512 (2007)

    Google Scholar 

  21. Shoham, Y., Tennenholtz, M.: On social laws for artificial agent societies: off-line design. Artif. Intell. 73(1–2), 231–252 (1995)

    Article  Google Scholar 

  22. Simons, R.: Control in an age of empowerment. Harvard Bus. Rev. 73(2), 80–88 (1995)

    MathSciNet  Google Scholar 

  23. Streeck, W., Thelen, K.: Introduction: institutional change in advanced political economies. In: Streeck, W., Thelen, K. (eds.) Beyond Continuity: Institutional Change in Advanced Political Economies, pp. 1–39. Oxford University Press, Oxford (2005)

    Google Scholar 

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Haynes, C., Miles, S., Luck, M. (2014). Monitoring the Impact of Norms upon Organisational Performance: A Simulation Approach. In: Balke, T., Dignum, F., van Riemsdijk, M., Chopra, A. (eds) Coordination, Organizations, Institutions, and Norms in Agent Systems IX. COIN 2013. Lecture Notes in Computer Science(), vol 8386. Springer, Cham. https://doi.org/10.1007/978-3-319-07314-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-07314-9_6

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