Systems thinking

Examining complex systems as a whole / From Wikipedia, the free encyclopedia

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Systems thinking is a way of making sense of the complexity of the world by looking at it in terms of wholes and relationships rather than by splitting it down into its parts.[1][2] It has been used as a way of exploring and developing effective action in complex contexts,[3] enabling systems change.[4][5] Systems thinking draws on and contributes to systems theory and the system sciences.[6] See Dana Meadows, Thinking In Systems: A Primer[lower-alpha 1]

Depiction of systems thinking about society

Complex systems
Topics
Self-organization Emergence
Collective behavior Social dynamics Collective intelligence Collective action Self-organized criticality Herd mentality Phase transition Agent-based modelling Synchronization Ant colony optimization Particle swarm optimization Swarm behaviour Collective consciousness
Networks Scale-free networks Social network analysis Small-world networks Centrality Motifs Graph theory Scaling Robustness Systems biology Dynamic networks Adaptive networks
Evolution and adaptation Artificial neural network Evolutionary computation Genetic algorithms Genetic programming Artificial life Machine learning Evolutionary developmental biology Artificial intelligence Evolutionary robotics Evolvability
Pattern formation Fractals Reaction–diffusion systems Partial differential equations Dissipative structures Percolation Cellular automata Spatial ecology Self-replication Geomorphology
Systems theory and cybernetics Autopoiesis Information theory Entropy Feedback Goal-oriented Homeostasis Operationalization Second-order cybernetics Self-reference System dynamics Systems science Systems thinking Sensemaking Variety Theory of computation
Nonlinear dynamics Time series analysis Ordinary differential equations Phase space Attractors Population dynamics Chaos Multistability Bifurcation Coupled map lattices
Game theory Prisoner's dilemma Rational choice theory Bounded rationality Evolutionary game theory
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