Abstract
In recent years the field of multi-agent systems (MAS) research has become mature. It has become apparent that the use of the MAS paradigm facilitates the modularization of complex systems in autonomous subsystems (implemented as agents) and their interactions. However, most systems that are implemented have either a very strict central control or have no central organization at all. The first type of systems use the MAS paradigm mainly to distribute the computation power. The outcomes of the system are in principle analytically determinable, but little use is made of the autonomy of the agents. The second type of systems take agents as autonomous entities pursuing their own individual goals based on their own beliefs and capabilities. In this perspective, global behavior emerges from individual interactions and therefore the final behavior of the whole system cannot be predicted, easily managed or specified externally.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dignum, V.: A Model for Organizational Interaction: based on Agents, founded in Logic. SIKS Dissertation Series 2004-1. SIKS, PhD Thesis (2004)
Vazquez-Salceda, J., Dignum, V., Dignum, F.: Organizing multiagent systems. Journal of Autonomous Agents and Multi-Agent Systems 11(3), 307–360 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dignum, F. (2006). Organizing Software Agents. In: Sichman, J.S., Coelho, H., Rezende, S.O. (eds) Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. IBERAMIA SBIA 2006 2006. Lecture Notes in Computer Science(), vol 4140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11874850_1
Download citation
DOI: https://doi.org/10.1007/11874850_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45462-5
Online ISBN: 978-3-540-45464-9
eBook Packages: Computer ScienceComputer Science (R0)