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Preface
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1 Why study other paradigms?
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2 Vision and modelling of complexity
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3 The dynamics of social phenomena
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4 Complexity in economic thought
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5 Complexity and emerging properties
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6 The self-organisation of complexity
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7 Cellular automata
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8 Homo Socialis
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9 The multifaceted behaviour of human beings
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10 Structure and its analytical instrumentation
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11 Socioeconomic evolution
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12 Agent-based computational models
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13 Three examples of agent-based models
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14 Computational models of networks
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15 Topology and network formation processes
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16 The dynamics of social diffusion
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17 Learning in contexts of uncertainty
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18 Introduction to genetic algorithms
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19 Validation and social mechanisms
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20 Calibration, verification and replication
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21 Empirical applications of social complexity
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Table of contents
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