Complexity perspectives in innovation and social change

Introduction.- Section 1: From biology to society.- Ch 1: Lane, Maxfield, Read and van der Leeuw, From population to organization thinking.- Ch 2: Read, Lane and van der Leeuw, The innovation innovation.- Ch 3: van der Leeuw, Lane and Read, The long-term evolution of social organization.- Ch 4: Ginzburg, Biological metaphors in economics: Natural selection and competition.- Ch 5: White, Innovation in the context of networks, hierarchy and social cohesion.- Section 2: Innovation and urban systems.- Ch 6: Bretagnolle, Pumain, The organization of urban systems.- Ch 7: Bettancourt, Lobo and West, The self similarity of human social organization in cities.- Ch 8: Pumain, Paulus and Vacchiani-Marcuzzo, Innovation cycles and urban dynamics.- Section 3: Innovation and market systems.- Ch 9: Lane and Maxfield, Building a new market system.- Ch 10: Rossi, Bertossi, Gurisatti and Sovieni, Incorporating a new technology into agent-artifact space: The case of control system automation in Europe.- Ch 11: Russo and Rossi, Innovation policies: Levels and levers.- Section 4: Modeling innovation and social change.- Ch 12: Pumain, Sanders, Bretagnolle, Glisse, and Mathian, The future of urban systems: exploratory models.- Ch 13: Serra, Villani and Lane, Modeling innovation.- Ch 14: Ferrari, Read, van der Leeuw, An agent based model of information flows in social dynamics.- Ch 15: Villani, Bonacini, Ferrari and Serra, An agent based model of exaptive processes.- Ch 16: Helbing, Kuhnert, Lammer, Johannsen, Gelsen, Ammoser and West, Power laws in urban supply networks, social systems and dense pedestrian.- Ch 17: Knappett et al., Using statistical physics to understand relational space: A case study from Mediterranean.- Conclusion.- List of contributors