Multiscale decision making
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Multiscale decision making is a newly developed approach in Operations Research that fuses game theory, multi-agent influence diagrams, in particular dependency graphs, and Markov decision processes to solve multiscale challenges [1] across organizational, temporal and spatial scales in distributed decision-making networks.
Multiscale Decision Theory is a fusion between decision theory and multiscale mathematics. With multiscale decision theory one can model and analyze hierarchical decision-making networks which exhibit multiscale phenomena. The theory's results can be used by mechanism designers and decision-makers in organizations and complex systems to improve system performance and individual payoffs.
Multiscale Decision Theory is related to:
- Multiscale modeling
- Decision analysis
- Cooperative distributed problem solving
- Decentralized decision making
[edit] References
[edit] Bibliography
- Mesarović, M. D., Macko, D. and Takahara, Y., Theory of Hierarchical, Multilevel, Systems, Mathematics in Science and Engineering, Volume 68, Academic Press, 1970. ISBN 0124915507
