ABSTRACT
An exploration of the implications of developments in artificial intelligence for social scientific research, which builds on the theoretical and methodological insights provided by "Simulating societies".; This book is intended for worldwide library market for social science subjects such as sociology, political science, geography, archaeology/anthropology, and significant appeal within computer science, particularly artificial intelligence. Also personal reference for researchers.
TABLE OF CONTENTS
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Part I The simulation of social theories
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chapter 7|15 pages
Genetic algorithms, teleological conservatism, and the emergence of optimal demand relations: the case of learning-by-consuming
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Part II The evolution and emergence of societies
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chapter 11|20 pages
Emergent behaviour in societies of heterogeneous, interacting agents: alliances and norms
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part |1 pages
Part III The foundations of social simulation
chapter 12|12 pages
Kin-directed altruism and attachment behaviour in an evolving population of neural networks
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