Algorithmic Decision Theory within Discrete Complex Networks

Algorithmic decision theory becomes more and more important. We will present a theoretical and practical point of view to the role of networks and dynamic flow problems in complex environments. To support a decision support management a comfortable software implementation for solving multiobjective discrete control and dynamic flow problems on networks will be presented. As many processes from various economic areas such as information technology, transportation systems, multi-agent resource management, power distribution etc. can be modeled as such multiobjective discrete control and optimal flow problems on dynamic networks. For such kind of problems specific discrete algorithms as well as their robust implementations will be derived and analyzed. The talk will exploit a novel combination of discrete optimization methods and basic game-theoretic concepts to support an optimal decision support management process. Keyword: Algorithmic Decision Theory, Network, Critical Infrastructure, Decision Support System