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Organisational change through influence

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Abstract

Influence is a phenomenon underpinning many types of interactions in both human and artificial organisations, and has a significant impact on the operation of the organisation. If influence can be examined at the organisational level, instead of at the level of the agents involved, engineers can better understand an organisation’s robustness to structural, behavioural and population changes. In this paper we present the Model of Organisational Change using Agents (MOChA) as a means to formally specify, check and simulate organisations using agents, particularly with a view to determining the impact of influence on the operation of an organisation. This formalisation of influence is not specific to our model, and is relevant and adaptable to any organisational model in which explicit relationships among roles of agents are formed.

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References

  1. Boella, G., & van der Torre, L. (2004). Organizations as socially constructed agents in the agent oriented paradigm. In Proceedings of Engineering Societies in the Agent World 2004. Springer-Verlag.

  2. Carlsson, M., Ottosson, G., & Carlson, B. (1997). An open-ended finite domain constraint solver. In Ninth International Symposium on Programming Languages, Implementations, Logics, and Programs (PLILP’97) (Vol. 1292). Berlin: Springer-Verlag.

  3. Castelfranchi C. (1998). Modelling social action for AI agents. Artificial Intelligence, 103:157–182

    Article  MATH  Google Scholar 

  4. Cavedon, L., & Sonenberg, L. (1998). On social commitment, roles and preferred goals. In Proceedings of the Third International Conference on Multi-Agent Systems (pp. 80–87).

  5. Conte, R., & Castelfranchi, C. (1995). Cognitive and social action. UCL Press.

  6. Dignum, V. (2004). A model for organizational interaction: Based on agents, founded in logic. PhD thesis, Utrecht University.

  7. Dignum, V., Dignum, F., & Sonenberg, L. (2004). Towards dynamic reorganization of agent societies. In ECAI Workshop on Coordinating Emergent Agent Societies.

  8. Esteva, M. (2003). Electronic institutions: From specification to development. PhD thesis, Universitat Politècnica de Catalunya (UPC). IIIA monography (Vol. 19).

  9. Ferber, J., Gutknecht, O., & Fabien, M. (2003). From agents to organizations: An organizational view of multi-agent systems. In P. Giorgini, J. P. Müller, & J. Odell (Eds.), 4th International Workshop on Agent Oriented Engineering. LNCS 2935, Springer-Verlag.

  10. Halmos, P. R. (2001). Naive set theory. Springer-Verlag.

  11. Van Hentenryck P., Simonis H., Dincbas M. (1992). Constraint satisfaction using constraint logic programming. Artificial Intelligence, 58(1–3):113–159

    Article  MATH  MathSciNet  Google Scholar 

  12. Jones A.J.I., Sergot M. (1996). A formal characterisation of institutionalised power. Journal of the Interest Group in Pure and Applied Logic, 4(3):427–443

    MATH  MathSciNet  Google Scholar 

  13. Jones, A. J. I., & Sergot, M. (1993). On the characterisation of law and computer systems: the normative systems perspective. In J.-J. Meyer, & R. J. Wieringa (Eds.), Deontic Logic in Computer Science: Normative System Specification (pp. 275–307). Wiley.

  14. Juan, T., Pearce, A., & Sterling, L. (2002). ROADMAP: Extending the Gaia methodology for complex open systems. In Autonomous Agents and Multi-Agent Systems,(AAMAS 2002).

  15. Kollingbaum, M. J. (2005). Norm-governed practical reasoning agents. PhD thesis, University of Aberdeen.

  16. Kollingbaum, M. J., & Norman, T. J. (2004). Norm adoption and consistency in the NoA agent architecture. In M. Dastani, J. Dix, & A. Seqhrouchni (Eds.), Programming Multiagent Systems: Languages, Frameworks Techniques, and Tools, volume 3067 of Lecture Notes in Artificial Intelligence. Springer-Verlag.

  17. Kramer, B., & Mylopoulos, J. (1992). Knowledge representation. In S. C. Shapiro (Ed.), Encyclopedia of Artificial Intelligence (Vol. 1). Wiley.

  18. Krogh, C. (1995). Obligations in multiagent systems. In A. Åmodt, & J. Komorowski (Eds.), Proceedings of the Fifth Scandinavian Conference on Artificial Intelligence (SCAI’95) (pp. 19–30). Trondheim, May 29–31, 1995.

  19. McCallum, M. (2006). MOCHA: Modelling organisational change using agents. PhD thesis, Department of Computing Science, University of Aberdeen, Aberdeen, United Kingdom.

  20. Norman, T. J., & Reed, C. A. (1986, 2001). Delegation and responsibility. Lecture Notes in Computer Science.

  21. Pacheco O., Carmo J. (2003). A role based model for the normative specification of organized collective agency and agents interaction. Autonomous Agents and Multi-Agent Systems, 6(6): 145–184

    Article  Google Scholar 

  22. Panzarasa P., Jennings N.R., Norman T.J. (2001). Social mental shaping: Modelling the impact of sociality on the mental states of autonomous agents. Computational Intelligence, 17(4): 738–782

    Article  MathSciNet  Google Scholar 

  23. Pörn, I. (1970). The logic of power. Basil Blackwell.

  24. Russell S.J., Norvig P. (2003). Artificial intelligence: A modern approach (2nd ed). Prentice Hall Inc., U.S.A.

    Google Scholar 

  25. Sichman, J. S., & Demazeau, Y. (2001). On social reasoning in multi-agent systems. In Revista Ibero-Americana de Inteligência Artificial (Vol. 13, pp. 68–84).

  26. Swedish Institute of Computer Science. SICStus prolog. http://www.sics.se/isl/sicstuswww/site/index.html, visited November 28th 2005.

  27. van Lamsweerde, A. (2000). Formal specification: A roadmap. In Proceedings of the Conference on the Future of Software Engineering (pp. 147–159).

  28. Vasconcelos W.W., Robertson D., Sierra C., Esteva M., Sabater J., Wooldridge M. (2004). Rapid prototyping of large multi-agent systems through logic programming. Annals of Mathematics and AI, 41(2–4):135–169

    MATH  Google Scholar 

  29. Vasconcelos, W. W., Sabater, J., Sierra, C., & Querol, J. (2002). Skeleton-based agent development for electronic institutions. In Proceedings of the 1st International Joint Conference on Autonomous Agents & Multi-Agent Systems, Bologna, Italy, ACM.

  30. Vasconcelos, W. W., Sierra, C., & Esteva, M. (2002). An approach to rapid prototyping of large multi-agent systems. In Proceedings of the 17th IEEE International Conference on Automated Software Engineering (pp. 13–22).

  31. Wooldridge M., Jennings N.R., Kinny D. (2000). The GAIA methodology for agent-oriented analysis and design. Autonomous Agents and Multi-Agent Systems, 3(3): 285–312

    Article  Google Scholar 

  32. Zambonelli F., Jennings N.R., Wooldridge M. (2001). Organisational rules as an abstraction for the analysis and design of multi-agent systems. International Journal of Software Engineering and Knowledge Engineering, 11(3): 303–328

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Computing Science, University of Aberdeen, AB24 3UE, Aberdeen, UK

    Mairi McCallum, Wamberto W. Vasconcelos & Timothy J. Norman

Authors
  1. Mairi McCallum
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  2. Wamberto W. Vasconcelos
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  3. Timothy J. Norman
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Correspondence to Wamberto W. Vasconcelos.

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McCallum, M., Vasconcelos, W.W. & Norman, T.J. Organisational change through influence. Auton Agent Multi-Agent Syst 17, 157–189 (2008). https://doi.org/10.1007/s10458-007-9024-7

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