Complexity Perspectives in Innovation and Social Change

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David Lane, Denise Pumain, Sander Ernst van der Leeuw, Geoffrey West
Springer Science & Business Media, 13 feb 2009 - 492 pagine

Innovation is nowadays a question of life and death for many of the economies of the western world. Yet, due to our generally reductionist scientific paradigm, invention and innovation are rarely studied scientifically. Most work prefers to study its context and its consequences. As a result, we are as a society, lacking the scientific tools to understand, improve or otherwise impact on the processes of invention and innovation. This book delves deeply into that topic, taking the position that the complex systems approach, with its emphasis on ‘emergence’, is better suited than our traditional approach to the phenomenon. In a collection of very coherent papers, which are the result of an EU-funded four year international research team’s effort, it addresses various aspect of the topic from different disciplinary angles. One of the main emphases is the need, in the social sciences, to move away from neo-darwinist ‘population thinking’ to ‘organization thinking’ if we want to understand social evolution. Another main emphasis is on developing a generative approach to invention and innovation, looking in detail at the contexts within which invention and innovation occur, and how these contexts impact on the chances for success or failure. Throughout, the book is infused with interesting new insights, but also presents several well-elaborated case studies that connect the ideas with a substantive body of ‘real world’ information.

 

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Indice

Introduction
1
From Biology to Society
8
From Population to Organization Thinking
11
The Innovation Innovation
42
The LongTerm Evolution of Social Organization
85
Biological Metaphors in Economics Natural Selection and Competition
117
Innovation in the Context of Networks Hierarchies and Cohesion
153
Innovation and Urban Systems
194
Incorporating a New Technology into AgentArtifact Space The Case of Control System Automation in Europe
289
Innovation Policy Levels and Levers
311
Modeling Innovation and Social Change
328
The Future of Urban Systems Exploratory Models
331
Modeling Innovation
360
An AgentBased Model of Information Flows in Social Dynamics
389
Exaptive Processes An Agent Based Model
413
Power Laws in Urban Supply Networks Social Systems and Dense Pedestrian Crowds
433

The Organization of Urban Systems
195
The Self Similarity of Human Social Organization and Dynamics in Cities
221
Innovation Cycles and Urban Dynamics
237
Innovation and Market Systems
261
Building a New Market System Effective Action Redirection and Generative Relationships
263
Using Statistical Physics to Understand Relational Space A Case Study from Mediterranean Prehistory
451
Conclusion
481
Author Index
489
Subject Index
491
Copyright

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