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Interaction Topologies in Complex Social Systems: Agent-Based Modeling

Interaction Topologies in Complex Social Systems: Agent-Based Modeling. Lars-Erik Cederman Department of Government, Harvard EITM Workshop, July 18, 2002. Schedule. 10:00am-10:30am Introduction 10:30am-12:00pm Tutorial 1:30pm-3:30pm Applications 4:00pm-5:00pm Installation advice.

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Interaction Topologies in Complex Social Systems: Agent-Based Modeling

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  1. Interaction Topologies in Complex Social Systems: Agent-Based Modeling Lars-Erik Cederman Department of Government, Harvard EITM Workshop, July 18, 2002

  2. Schedule • 10:00am-10:30am Introduction • 10:30am-12:00pm Tutorial • 1:30pm-3:30pm Applications • 4:00pm-5:00pm Installation advice

  3. What is agent-based modeling? • ABM is a computational methodology that allows the analyst to create, analyze, and experiment with, artificial worlds populated by agents that interact in non-trivial ways • different from other types of computational techniques: econometrics, numerical solutions, macro simulation, AI modeling

  4. Four types of models Modeling language: Deductive Computational Analytical focus: Systemic variables Micro- mechanisms Structural macro models Macro- simulation Rational choice Agent-based modeling

  5. Disaggregated modeling If <cond> then <action1> else <action2> Inanimate agents Observer Animate agents Data Organizations of agents Artificial world

  6. An inter-disciplinary paradigm • Computer revolution: • computer science and mathematics • biology • social sciences • The Santa Fe Institute and other centers

  7. Schelling’s segregation model

  8. Relative tolerance # neighbors # same type 1 1 2 1 3 2 4 2 5 2 6 3 7 3 8 3

  9. Complex Adaptive Systems A CAS is a network exhibiting aggregate properties that emerge from primarily local interaction among many, typically heterogeneous agents mutually constituting their own environment. • Emergent properties • Large numbers of diverse agents • Local interaction • Adaptation through selection • Endogenous, non-parametric environment

  10. Why use agent-based modeling? • ABM helps fill the gap between formal but restrictive models and wide-ranging but imprecise qualitative frameworks • Contingency and counterfactuals • Mechanisms in space and time • Intangible concepts

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