AI RESEARCH
Causal Intelligence for Constraint-Aware Intervention Design to Induce State Transitions
arXiv CS.LG
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ArXi:2605.29008v1 Announce Type: new Driving a system from one state to another through targeted interventions is a fundamental challenge in science, yet most predictive models offer limited mechanistic insight and no principled framework for decision-making. Here we present COAST (Causally Optimal Actions for State Transitions), a causal-intelligence approach for the in-silico design of constrained interventions that induce user-defined state transitions.