# Systems science Systems science is the formal, natural, social, and applied inquiry into simple and complex systems, treating the world as nested systems-of-systems whose interactions with environments produce stable or unstable dynamics. It integrates general [[Systems_theory|systems theory]], [[Cybernetics|cybernetics]], hierarchy theory, [[Chaos_theory|chaos]], complexity, [[Operations_research|operations research]], and domain-specific systems science to generate holistic models and interventions. <!-- LEGACYSIM:BEGIN v1.5 — generated by g03_mint_wave.py; three.js first; do not hand-edit inside --> ## Microsims (promoted from legacy — three.js first) ### MicroSim spec - **Recommended sim type:** particle/agent simulation - **Microsimmability score:** 92/100 - **Layout:** agent field (canvas) on top with an order-parameter readout; sliders below. ### Parameters (tunable controls) - `Number of agents N` - `Interaction radius` - `Coupling strength` ### What animates Many simple agents follow local rules; a global pattern emerges and shifts as the rule parameters change. ### Learning objective Show how local agent rules produce emergent global order. ### MicroSim spec - **Recommended sim type:** agent-based - **Microsimmability score:** 90/100 - **Layout:** drawing region (canvas) on top; control region (sliders/buttons) below. ### Parameters (tunable controls) - `Agents` (population size) - `Interaction radius` (neighbourhood each agent senses) - `Coupling` (0–1, strength of the local rule) ### What animates Many agents follow a simple local rule on the canvas while a global pattern emerges; the pattern reorganizes as agent count and [[Coupling|coupling]] change. ### Learning objective See how simple local rules produce emergent [[System|system]]-level behaviour. <!-- LEGACYSIM:END --> ## Reveal %%REVEAL:mermaid%% %%REVEAL:svg%% --- *Concept aligned with [Wikipedia](https://en.wikipedia.org/wiki/Systems_science); adapted text, where present, is licensed [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).* ## Overview Its lineage runs from [[Ludwig_von_Bertalanffy|Ludwig von Bertalanffy]] and the cyberneticians—[[Norbert_Wiener|Norbert Wiener]], [[W._Ross_Ashby|W. Ross Ashby]], [[Heinz_von_Foerster|Heinz von Foerster]], [[Stafford_Beer|Stafford Beer]], [[Gregory_Bateson|Gregory Bateson]]—through [[Jay_Wright_Forrester|Jay Wright Forrester]]'s [[System_dynamics|system dynamics]] and [[Ilya_Prigogine|Ilya Prigogine]]'s dissipative structures, to [[Niklas_Luhmann|Niklas Luhmann]]'s social systems and today's [[Systems_biology|systems biology]] and [[Artificial_intelligence|artificial intelligence]]. Methodologically it spans the [[Complex_system|complex system]] and its signatures of [[Emergence|emergence]] and [[Self-organization|self-organization]], formal instruments from [[Graph_theory|graph theory]], [[Information_theory|information theory]], and [[Game_theory|game theory]], executable models such as the [[Agent-based_model|agent-based model]] and [[Cellular_automaton|cellular automaton]], accounting spines of [[Stock_and_flow|stock and flow]], and the applied practice of [[Systems_engineering|systems engineering]] and [[Systems_thinking|systems thinking]]. ## Wikipedia : Wikitube **Strict pair:** [Wikipedia](https://en.wikipedia.org/wiki/Systems_science) : [Wikitube](https://en.wikitube.io/wiki/Systems_science) ## Previous hub tags Hubs: `Systems`. Portals: [[PORTAL_Systems]], [[PORTAL_Systems_science]].