Applications of Learning Classifier Systems for Simulating Learning Organizations

In this volume the necessity and the practicality of the employment of complex adaptive systems for describing recent economic happenings is discussed. They are compared with common analytical modelling techniques to give an idea about the advantages and shortcomings of both approaches. Then some methods that are qualified to implement complex adaptive systems are being explained. Special emphasis is dedicated to learning classifier systems and genetic algorithms. In the following some examples are provided to illustrate possibilities and also restrictions of the usage of such procedures. Based on this elaborations two comprehensive economic models are formulated and analysed. The interpretation of the simulation results delivers valuable hints for determining successful business strategies.