Content
- Bottom-up models, complex systems, and nature-analogous methods of AI and AL
- Self-organizing systems: cellular automata, Boolean networks, and neighborhood generating algorithms
- The modeling of adaptive processes through evolutionary algorithms
- Modeling learning systems through neural networks
- Modeling the imprecise: fuzzy set theory and fuzzy logic
- Hybridizations of the basic models
- Summary and perspectives
Target Audience
Students, educators, and practitioners interested in new modeling with methods of Artificial Intelligence and Artificial Life for their professional activities.
Authors
PD Dr. Christina Klüver, Prof. Dr. Jürgen Klüver, and Dr. Jörn Schmidt form the research group COBASC (Computer Based Analysis of Social Complexity). They developed numerous computer programs for the simulation and analysis of complex processes.
The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
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