Preface

1      Why study other paradigms?

2      Vision and modelling of complexity

3     The dynamics of social phenomena

4      Complexity in economic thought

5     Complexity and emerging properties

6     The self-organisation of complexity

7     Cellular automata

8    Homo Socialis

9    The multifaceted behaviour of human beings

10  Structure and its analytical instrumentation

11  Socioeconomic evolution

12   Agent-based computational models

13   Three examples of agent-based models

14   Computational models of networks

15   Topology and network formation processes

16   The dynamics of social diffusion

17    Learning in contexts of uncertainty

18    Introduction to genetic algorithms

19    Validation and social mechanisms

20   Calibration, verification and replication

21    Empirical applications of social complexity

Table of contents

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