Information Theory for Complex Systems

Kristian Lindgren is a Professor Emeritus in Complex Systems at Chalmers University of Technology. Originating from a background in physics, he has applied this foundational knowledge to the interdisciplinary study of complex systems across a variety of disciplines. His key research areas include information theory and statistical mechanics, as well as the application of information theory to complex and self-organizing systems. Lindgren has also delved into game theory as it applies to evolutionary systems and has utilized agent-based modelling to understand economic systems. He was one of the founders of the International Masters Programme in Complex Adaptive Systems at Chalmers in 1990 and has also served as the Director for the Graduate School (Ph.D.) in Complex Systems.

Introduction.- Information theory.- Information theory for lattice systems.- Cellular automata.- Physics and information theory.- Geometric information theory.- Pattern formation in chemical systems.- Chaos and information.- Appendix.- References.