Physical Law Ecology: mapping multi-mechanism ecologies as the zeroth step of data-driven scientific discovery

📅 2026-09-08
📈 Citations: 0
Influential: 0
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🤖 AI Summary
该研究针对多机制系统科学发现的瓶颈,提出物理定律生态学框架,通过数据确定共存独立机制数量,自动挖掘候选方程并构建参数空间中的主导权重场。
📝 Abstract
Every data-driven equation discovery method assumes (implicitly and without verification) that the target system obeys a single governing law ($K{=}1$). Here we show that this assumption is the primary bottleneck limiting scientific discovery in multi-mechanism systems, and introduce Physical Law Ecology, a framework that makes $K^*$ (the number of coexisting independent mechanisms) itself the first quantity to be determined from data. The framework automatically mines a pool of topologically distinct candidate equations, constructs a continuous dominance weight field across parameter space, and discovers analytic evolution laws governing mechanism succession---with optional monotonicity constraints encoding irreversible physics. Across four unrelated systems (elastomer mechanics, pool boiling, galactic dynamics, and droplet evaporation), BIC consistently identifies $K^*{=}3$ independent governing topologies. Applied to 163 SPARC galaxies (3,269 spatially resolved measurements), the framework autonomously recovers three gravitational laws whose coexistence provides evidence against the single-universal-acceleration hypothesis of MOND ($p<10^{-34}$). In engineering applications, multi-law weighted prediction reduces error by 67-72\% over single-equation baselines while retaining full interpretability. By establishing the determination of $K^*$ as the zeroth step of scientific discovery-prior to and independent of equation search---this work opens a direction orthogonal to existing symbolic regression: not finding better equations, but mapping the ecology of mechanisms that govern complex systems.
Problem

Research questions and friction points this paper is trying to address.

data-driven equation discovery
multi-mechanism systems
independent mechanisms
Physical Law Ecology
scientific discovery
Innovation

Methods, ideas, or system contributions that make the work stand out.

Physical Law Ecology
multi-mechanism systems
independent mechanisms
dominance weight field
analytic evolution laws
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Xiongheng Bian
School of Information Science and Technology, Nantong University, Nantong 226019, China
Xiangyu Cui
Xiangyu Cui
School of Information Science and Technology, Nantong University, Nantong 226019, China
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Ma Feng
School of Artificial Intelligence and Computer Science, Nantong University, Nantong 226019, China
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Xiaoyan Shen
School of Information Science and Technology, Nantong University, Nantong 226019, China