|
ABSTRACT
Whether as team members brainstorming, or policy experts sharing best-practices, problem solvers communicate and share ideas. This paper examines the how the structure of these communication networks can affect outcomes. We present simulation results demonstrating that more efficient communication networks can actually lower performance in the long run. This effect is manifest in complex (e.g. rugged) problem spaces, where extensive searches are expensive for the individual. When actors can communicate easily or quickly, average performance improves rapidly improves initially, but harder-to-find optimal solutions are less likely to be discovered.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
Binz-Scharf, M. C. Exploration and exploitation: Toward a theory of knowledge sharing in digital government projects. Unpublished Dissertation, University of St. Gallen, Switzerland, 2003
|
| |
2
|
Diamond, J. M. Guns, germs, and steel: the fates of human societies. W. W. Norton, New York, 1997
|
| |
3
|
Kauffman, S. 1991. Antichaos and Adaptation. Scientific American, 265(2), 78--84
|
| |
4
|
Kauffman, S. 1995. At Home in the Universe.
|
| |
5
|
Leenders, R. Th. A. J. van Engelen, J. M. L. Kratzer, J. Virtuality, Communication, and New Product Team Creativity: A Social Network Perspective, Journal of Engineering and Technology Management, 20, 1 (June 2003), 69--92
|
| |
6
|
|
| |
7
|
March, J. 1991. "Exploration and exploitation in organizational learning." Organization Science, 2(1): 71--87
|
| |
8
|
Watts, D. and Strogatts, S., 1998, Collective dynamics of 'small-world' networks, Nature 393:440-4
|
|