Dynamic Decision Behavior and Optimal Guidance Through Information Services: Models and Experiments

In this contribution, dynamical models for decision making with and without temporal constraints are developed and applied to opinion formation, migration, game theory, the self-organization of behavioral conventions, etc. These models take into account the non-transitive and probabilistic aspects of decisions, i.e. they reflect the observation that individuals do not always take the decision with the highest utility or payoff. We will also discuss issues like the freedom of decision making, the red-bus-blue-bus problem, and effects of pair interactions such as the transition from individual to mass behavior.