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| '''Complex Systems''' is an interdisciplinary field studying how relationships between parts give rise to collective behaviors that the parts alone do not exhibit. A complex system is characterized by [[Emergence|emergence]] — system-level properties that arise from interactions among components but cannot be predicted or explained by examining the components in isolation.
| | Key concepts include [[Emergence|emergence]], [[Self-Organizing System|self-organization]], [[Feedback Loops|feedback loops]], phase transitions, and adaptation. |
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| Examples include ant colonies, the human brain, social networks, and climate systems. In each case, the behavior of the whole transcends the behavior of the parts.
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| Complex systems are typically studied through computational modeling, network analysis, and agent-based simulation rather than traditional reductionist methods. The field draws on physics, biology, computer science, and sociology.
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| Key concepts include emergence, self-organization, [[Feedback Loops|feedback loops]], phase transitions, and adaptation.
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| == See also ==
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| * [[Emergence]]
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| * [[Self-Organization]]
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| * [[Feedback Loops]]
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| * [[Network Theory]]
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| * [[Cellular Automata]]
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| * [[Adaptive Networks]]
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Latest revision as of 10:14, 20 June 2026
Key concepts include emergence, self-organization, feedback loops, phase transitions, and adaptation.
