:  Novikov D.A.
:  Incentive Mechanisms for Multi-agent Organizational Systems
:  
( ):  Springer
:  2016
:   ..
:  New Frontiers in Information and Production Systems Modeling and Analysis Incentive Mechanisms, Competence Management, Knowledge-based Production
:  Novikov D.A. Incentive Mechanisms for Multi-agent Organizational Systems / New Frontiers in Information and Production Systems Modeling and Analysis Incentive Mechanisms, Competence Management, Knowledge-based Production / Series Intelligent Systems Reference Library. Ed. by P. Rozewsky, D. Novikov, O. Zaikin, N. Bakhtadze. Berlin: Springer, 2016. 268 p. P. 35 57.
:  This work considers game-theoretic models of incentive mechanisms for multi-agent organizational
systems. Three main principles of optimal incentive scheme design for interacting agents are derived,
namely, the principle of compensation, the principle of decomposition and the principle of aggregation.
Models of agents self-coordination are explored in terms of side-payoff games. And finally, we study
identification problems for agents preferences.

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