Effects of Organizational Dynamics in Adaptive Distributed Search Processes
In this paper, the effects of alternating the organizational setting of distributed adaptive search processes in the course of search processes are investigated. The organizational properties under change include, for example, the coordination mechanisms among agents. We analyze different temporal change modes using an agent-based simulation. Results suggest that inducing organizational dynamics has the potential to increase the effectiveness of search, but that the mode of change in conjunction with the complexity of the search problem considerably affects the order of magnitude of this beneficial effect.
Keywordsagent-based simulation complexity coordination
Unable to display preview. Download preview PDF.
- 1.Baumann, O.: Distributed Problem Solving in Modular Systems: the Benefit of Temporary Coordination Neglect. Systems Research and Behavioral Science (2013), doi:10.1002/sres.2218Google Scholar
- 2.Carley, K.M., Gasser, L.: Computational organization theory. In: Weiss, G. (ed.) Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, pp. 299–330. MIT Press, Cambridge (1999)Google Scholar
- 3.Gross, T., Blasius, B.: Adaptive coevolutionary networks: a review. J. R. Soc. Interface 20, 259–271 (2008)Google Scholar
- 5.Kauffman, S.A.: The origins of order: Self-organization and selection in evolution. Oxford University Press, Oxford (1993)Google Scholar
- 6.Levitan, B., Kauffman, S.A.: Adaptive walks with noisy fitness measurements. Mol. Divers 1, 53–68 (1995)Google Scholar
- 7.Rivkin, R.W., Siggelkow, N.: Patterned interactions in complex systems: Implications for exploration. Manage Sci. 53, 1068–1085 (2007)Google Scholar
- 8.Wall, F.: The (Beneficial) Role of Informational Imperfections in Enhancing Organisational Performance. Lecture Notes in Economics and Mathematical Systems, vol. 645, pp. 115–126. Springer, Berlin (2010)Google Scholar
- 9.Wall, F.: Comparing basic design options for management accounting systems with an agent-based simulation. In: Omatu, S., Neves, J., Rodriguez, J.M.C., Paz Santana, J.F., Gonzalez, S.R. (eds.) Distrib. Computing & Artificial Intelligence. AISC, vol. 217, pp. 409–418. Springer, Heidelberg (2013)CrossRefGoogle Scholar
- 10.Yongcan, C., Wenwu, Y., Wei, R., Guanrong, C.: An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination. IEEE Trans. on Industrial Informatics 9, 427–438 (2013)Google Scholar