Advanced dynamic modeling of economic and social systems

In difficult times the world is facing nowadays there is an urgent need for more meaningful and more profound analyses of systems and problems that may be relevant. Of particular interest are here clearly all kinds of analyses of social and economic systems and problems because their concern is what primarily matters. A natural tendency in this context is to use formal, mathematical approaches. These approaches may concern various aspects of the economic and social systems and problems, and it is obvious that dynamics is omnipresent therein. The development of dynamic, time dependent models is therefore of a primary concern. In this context many diverse mathematical techniques can be employed that can be useful for the analysis of time series, prediction and forecasting, inference procedures, analysis of nonlinear dynamic systems, etc. Clearly, they all an help improve decision making which is a “meta-problem” of an universal importance. In this volume recent advances in the use of advanced mathematical models for the analysis of various problems related to the issues and challenges mentioned above, which can be descrived as the dynamics of socil and economic systems, are presented. The majority of authors have employed tools and techniques of broadly perceived computational intelligence, notably fuzzy logic, evolutionary computation, neural networks and some non-standard probabilistic and statistical analyses. Due to a high complexity of the systems and problems considered, in many situations it is necessary to consider at the same time analytic, topological and statistical aspects and apply appropriate procedures and algorithms.