Abstract
The team configuration process is typically performed by a manager based on past experience and available (though frequently scarce, uncertain and dynamic) information about the cognitive, personal and social characteristics of the potential team members. To support this decision-making process we propose an agent-based model where a virtual team can be configured using the characteristics of the real candidates to form the team, and given a set of tasks, the model generates the possible performance of the team-members. The model is based on Fuzzy Set Theory and Fuzzy Logic and it has been validated with an industrial project involving 23 team members and 23 tasks. The architecture of the model and the initial results are presented in this paper.
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References
Bechtoldt, M.N., Welk, C., Hartig, J., Zapf, D.: Main and moderating effects of self-control, organizational justice, and emotional labour on counterproductive behaviour at work. European Journal of Work and Organizational Psychology 16(4), 479–500 (2007)
Biegler, L.T., Grossmann, I.E., Westerberg, A.: Systematic Methods of Chemical Process Design. The Physical and Chemical Engineering Sciences ch. I, 1–21 (1997)
Bonnie, J.E., Dario, S.D.: Multi-Purpose Prototypes for Assessing User Interfaces. Pervasive Computing Systems. IEEE Pervasive Computing 4(4), 27–34 (2005)
Bruzzone, A.G., Figini, F.: Modelling Human Behaviour in Chemical Facilities and Oil Platforms. In: Proceedings of Summer Computer Simulation Conference SCSC 2004, pp. 538–542 (2004)
Conte, R., Gilbert, N., Sichman, J.S.: MAS and Social Simulation: A Suitable Commitment. In: Sichman, J.S., Conte, R., Gilbert, N. (eds.) MABS 1998. LNCS (LNAI), vol. 1534, pp. 1–9. Springer, Heidelberg (1998)
Duncan, W.R.: A Guide to the Project Management Body of Knowledge (PMBOK). Project Management Institute (1996)
Dutton, J.M., Starbuck, W.H.: Computer Simulation of Human Behaviour. John Willey, New York (1971)
El-Nasr, M.S., Yen, J., Ioerger, T.R.: FLAME – Fuzzy Logic Adaptive Model of Emotions. Autonomous Agents and Multi-Agent Systems 3, 219–257 (2000)
Ellis, J.E., Martin, M.W.: Human Behavior Representation of Military Teamwork. Master’s Thesis, Naval Postgraduate School (2006)
Fisher, C.D.: Mood and emotions while working: missing pieces of job satisfaction? Journal of Organisational Behaviour. 21(2), 185–202 (2000)
Gernaey, K.V., van Loosdrecht, M.C.M., Henze, M., Lind, M., Jørgensen, S.B.: Activated sludge wastewater treatment plant modeling and simulation: state of the art. Environmental Modelling and Software 9(9), 763–783 (2004)
Ghasem-Aghaee, N., Ören, T.I.: Towards Fuzzy Agents with Dynamic Personality for Human Behaviour Simulation. In: Proceedings of the 2003 Summer Computer Simulation Conference, pp. 3–10 (2003)
Gilbert, N., Troitzsch, K.G.: Simulation for the Social Scientist. Open University Press (2005)
Grant, A.M., Campbell, E.M., Chen, G., Cottone, K., Lapedis, D., Lee, K.: Impact and the art of motivation maintenance: The effects of contact with beneficiaries on persistence behavior. Organizational Behavior and Human Decision Processes 103(1), 53–67 (2007)
Heller, D., Judge, T.A., Watson, D.: The confounding role of personality and trait affectivity in the relationship between job and life satisfaction. Journal of Organisational Behaviour 23(7), 815–835 (2002)
Marks, R.E.: Validating Simulation Models: A General Framework and Four Applied Examples. Computational Economics 30(3), 265–290 (2007)
Martínez-Miranda, J., Jung, B., Payr, S., Petta, P.: The Intermediary Agent’s Brain: Supporting Learning to Collaborate at the Inter-Personal Level. In: Proceedings of the 7th Conference on Autonomous Agents and Multiagent Systems AAMAS (to appear, 2008)
Pahl-Wost, C., Ebenhöh, E.: Heuristics to characterise human behaviour in agent based models. In: iEMSs 2004 International Congress: Complexity and Integrated Resources Management, Germany (June 2004)
Richard, W.P., Mavor, A.S.: Human Behaviour Representation, Military Requirements and Current Models. In: Modelling Human and Organisational Behaviours. National Academy Press (1998)
Sturges, J.: All in a day’s work? Career self-management and the management of the boundary between work and non-work. Human Resource Management Journal 18(2), 118–134 (2008)
Syed, J.: From Transgression to Suppression: Implications of Moral Values and Societal Norms on Emotional Labour. Gender, Work & Organization 15(2), 182–201 (2008)
Yamakage, S., Hoshiro, H., Mitsutsuji, K., Sakamoto, T., Suzuki, K., Yamamoto, K.: Political Science and Multi-Agent Simulation: Affinities, Examples and Possibilities. In: Terano, T., et al. (eds.) Agent-Based Approaches in Economic and Social Complex Systems IV, pp. 165–182 (2007)
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Martínez-Miranda, J., Pavón, J. (2009). An Agent-Based Simulation Tool to Support Work Teams Formation. In: Corchado, J.M., Rodríguez, S., Llinas, J., Molina, J.M. (eds) International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008). Advances in Soft Computing, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85863-8_11
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DOI: https://doi.org/10.1007/978-3-540-85863-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85862-1
Online ISBN: 978-3-540-85863-8
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