1) The document discusses several concepts related to modeling dynamic systems including agents, networks, layers, topologies, propagation, growth, grouping, order, allocation, mapping, specialization, nesting, and paradigms from fields like cybernetics, system dynamics, cellular automata, chaos theory, and network theory.
2) It provides examples of how these concepts can be applied when designing games and simulations, such as modeling the spread of ideas or populations through networks over time.
3) The key to understanding dynamics is recognizing how the interactions between parts give rise to emergence over time through concepts like propagation, growth, and positive/negative feedback loops.
14. Agents Networks Layers Topologies Dynamics Paradigms order? Propagation Growth Grouping Order Allocation Mapping Specialization Nesting Cybernetics System Dynamics Cellular Automata Chaos Theory Adaptive Systems Network Theory
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16. Agents Networks Layers Topology Propagation Growth Grouping Order Allocation Mapping Specialization Nesting Cybernetics System Dynamics Cellular Automata Chaos Theory Adaptive Systems Network Theory
20. Agents Networks Layers Dynamics topology change through time Propagation Growth Grouping Order Allocation Mapping Specialization Nesting Cybernetics System Dynamics Cellular Automata Chaos Theory Adaptive Systems Network Theory
58. fan communities – critical mass of each component – coop/comp Webmasters Content Artists Story Creators Browsers Casual Players Tool Builders Collectors Fan Community
100. Player Decisions Short vs. Long Term Risk vs. Reward Order (production, missions) Allocation (time, resources) Network Design Mapping Collapse considerations into decisions
102. Agents Networks Layers Paradigms 37 Propagation Growth Grouping Order Allocation Mapping Specialization Nesting Cybernetics System Dynamics Cellular Automata Chaos Theory Adaptive Systems Network Theory