Abstract
The paper addresses the possibility to combine nature inspired optimization techniques, Dynamical Systems and Game Theory in order to solve a complex real-world problem.A computational model for Sustainable Development (SD) problem, called Dynamical Game for Sustainable Development (DGSD) is proposed. This model combines ideas from Dynamical Systems and Game Theory in a new paradigm for adaptive behavior of systems. The actors of SD: Economy, Environment and Society, are viewed as evolvable systems. The main aim is to ensure a balanced coevolution of SD actors. A chain of control points are used to guide the evolution toward system equilibrium (sustainability). Each control point is represented as a three player game. In order to guide system to sustainability, the local equilibrium at each control point is used to determine further development strategies for SD actors. The local equilibrium is conceived as a game equilibrium. Several kinds of equilibria are possible. For detecting these equilibria an evolutionary approach may be used.
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Dumitrescu, D., Sîrghi, A. (2010). A Dynamical Game Model for Sustainable Development. In: González, J.R., Pelta, D.A., Cruz, C., Terrazas, G., Krasnogor, N. (eds) Nature Inspired Cooperative Strategies for Optimization (NICSO 2010). Studies in Computational Intelligence, vol 284. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12538-6_13
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DOI: https://doi.org/10.1007/978-3-642-12538-6_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12537-9
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