Abstract
Capturing human resources, their capabilities and dynamics can greatly contribute to an efficient and effective organization mission goals accomplishment. In practice however, this is often done in an ad-hoc manner leading to a big gap between the organizational specification model (at the design time) and its instance model (during the life cycle). In this paper we present a generic organizational model that captures the human resources, their operational and strategic capabilities, and adaptive coalition formation. The key elements of the model are capabilities, roles, agents and coalitions. We show how the resulting model can be used for role functionalities and performance control, as well as for capturing the knowledge in context-aware applications which is often present in an implicit manner.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Biddle, B.J., Thomas, E.J.: Role Theory: Concepts and Research. John Wiley & Son, Inc., West Sussex, England (1966)
Chalupsky, H., Gil, Y., Knoblock, C.A., Lerman, K., Oh, J., Pynadath, D.V., Russ, T.A., Tambe, M.: Electric Elves: Applying Agent Technology to Support Human Organizations. In: IAAI 2001, pp. 51–58 (2001)
DeLoach, S.A., Matson, E.: An Organizational Model for Designing Adaptive Multiagent Systems. In: The AAAI-04 Workshop on Agent Organizations: Theory and Practice (AOTP) (2004)
Houari, N., Far, B.H.: Intelligent Agents Based Architecture for Distributed Decision Support to Manage a Project’s Lifecycle (Ethics Review Report), University of Calgary CE101-3751 (2005)
JADE, Home Page: http://jade.tilab.com/
Kogut, P.A., Yen, J., Leung, Y., Sun, S., Wang, R., Mielczarek, T., Hellar, B.: Proactive Information Gathering For Homeland Security Teams. Commun. ACM 47(3), 48–50 (2004)
Krauth, E., Moonen, H., Popova, V., Schut, M.: Agent-Based Modeling of Third-Party Logistics Performance Indicators. In: Intelligent Agent Technology IEEE/WIC/ACM International (IAT 2005), pp. 262–265 (2005)
Meirina, C., Ruan, S., Kleinman, D.L.: Real-time agent-based decision support system to facilitate effective organizational adaptation. In: IEEE Systems, man, and cybernetics society, vol. 3, pp. 2681–2686. IEEE Computer Society Press, Los Alamitos, USA (2004)
Protégé, Home Page: http://protege.stanford.edu/
Rinderle, S., Reichert, M.: Data-Driven Process Control and Exception Handling in Process Management Systems. In: Dubois, E., Pohl, K. (eds.) CAiSE 2006. LNCS, vol. 4001, pp. 273–287. Springer, Heidelberg (2006)
Simulator: The DDD-III: Distributed Dynamic Decision-making Simulator Provided by Aptima, Inc. (2006)
SOAP, Home Page: http://www.w3.org/2000/xp/Group/
Sycara, K.P., Paolucci, M., Velsen, M.V., Giampapa, J.A.: The RETSINA MAS Infrastructure. Autonomous Agents and Multi-Agent Systems 7(1-2), 29–48 (2003)
Xu, H., Zhang, X.: A Methodology for Role-Based Modeling of Open Multi-Agent Software Systems. In: Xu, H., Zhang, X. (eds.) ICEIS 3, 2005. 7th International Conference on Enterprise Information Systems, pp. 246–253 (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Houari, N., Far, B.H. (2007). An Aggregation of Agents, Roles and Coalition Formation to Support Collaborative and Dynamic Organizations. In: Torra, V., Narukawa, Y., Yoshida, Y. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2007. Lecture Notes in Computer Science(), vol 4617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73729-2_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-73729-2_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73728-5
Online ISBN: 978-3-540-73729-2
eBook Packages: Computer ScienceComputer Science (R0)