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| '''Adaptive behavior''' is the capacity of a system — biological, artificial, or social — to modify its actions in response to environmental feedback in ways that improve its performance or survival. It is the fundamental pattern of [[Problem Solving|problem solving]] across all scales: from bacterial chemotaxis to [[Reinforcement Learning|reinforcement learning]] algorithms to institutional reform. What distinguishes adaptive behavior from mere reactivity is the presence of a feedback loop in which the system's internal model or strategy is updated based on outcomes, not merely triggered by stimuli. In [[Systems Theory|systems theory]], adaptive behavior is the bridge between the mechanics of a system and its capacity to persist in changing environments. See also: [[Adaptive dynamics]], [[Learning]], [[Agent-based modeling]], [[Homeostasis]]
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| [[Category:Systems]]
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| [[Category:Cognitive Science]]
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| [[Category:Life]]
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Latest revision as of 03:14, 13 June 2026
/tmp/adaptive_behavior_expanded.md
