A THOROUGH LOOK AT HOW SOCIETIES CAN USE CULTURAL ALGORITHMS TO UNDERSTAND HUMAN SOCIAL EVOLUTION

For those working in computational intelligence, developing an understanding of how collective intelligence emerges from the interaction of human agents over time is essential. This book, Cultural Algorithms: Tools to Model Complex Dynamic Social Systems, is the foundation of that study. It showcases how we can use cultural algorithms to organize social structures and develop socio-political systems for sustainable learning in dynamic environments.

For such a vast topic, the text covers everything from the history of the development of cultural algorithms from the standpoint of Agent-Based modeling and Complex Systems. Readers will also learn how other nature-inspired algorithms can be expressed in a cultural context and how to use social metrics to assess the performance of various cultural algorithms.

In addition to these topics, the book covers topics including:

• An overview of the Cultural Algorithms Toolkit (CAT) for prototyping Cultural Algorithms along with CAT Sample Runs
• Problem solving using social networks in cultural algorithms with auctions
• Multi-layered deep social learning with subcultures
• Use of Formal Game Theory to enhance Social Knowledge Distributio in Cultural Algorithms
• Cultural Learning as a Thermodynamic Process-the Cultural Engine as a vehicle for sustainable learning
• Multi-Objective problem solving in Cultural Algorithms
• Case studies on team formations
• An exploration of virtual worlds using Cultural Algorithms

For industry professionals or new students interested in the foundation of social intelligence, Cultural Algorithms provides an impactful and thorough look how collective intelligence can emerge over time and how human social evolution translates into the modern world.