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Exploring Self-Organized Criticality and Collective Intelligence in Computational Models

This lecture series delves into vital concepts in complex systems, such as Self-Organized Criticality by Per Bak, and the dynamics of collective intelligence illustrated through Turtles, Termites, and Traffic Jams by Michel Resnick. Participants will explore cutting-edge topics including Amorphous Computing, ECHO models by John Holland, and Reinforcement Learning by Sutton. Further discussions will cover Algorithmic Chemistry, DNA Computing, and resilience in Crowd Dynamics through simulation models by Epstein, Axtell, and others, highlighting their significance in understanding social systems.

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Exploring Self-Organized Criticality and Collective Intelligence in Computational Models

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  1. Lecture Topics I • Self Organized Criticality – Per Bak • Turtles, Termites and Traffic Jams – Michel Resnick • Amorphous Computing (2 lectures possible here) • ECHO model – John Holland • Collective Robotics -- Kube

  2. Lecture Topics II • Reinforcement Learning – Sutton • Subsumption – Brooks • Algorithmic Chemistry • Fontana, Banzaf and Shapiro • Autopeosis – Varela, Maturana and MacMullin • DNA Computing – Adelman • Reaction-Diffusion systems • Theory • Applications

  3. Lecture Topics III • SugarScape models – Epstein, Axtell • Ascape model environment • Crowd Dynamics modelling – Keith Still • Repast simulation environment • Creatures – Steven Grand

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