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cs.AI2026
Revisiting Classic Thought Experiments to Measure Consciousness for Artificial Intelligence Safety
Peter David Fagan
This research note revisits Leibniz's mill, Turing's imitation game, and Searle's Chinese Room through the Conservation-Congruent Encoding (CCE) framework. It formalises a toy symb…
cs.AI2026
Toward a Physical Theory of Intelligence
Peter David Fagan
While often treated as abstract algorithmic properties, intelligence and computation are ultimately physical processes constrained by conservation laws. We introduce the Conservati…
cs.AI2024
Learning from Demonstration with Implicit Nonlinear Dynamics Models
Peter David Fagan, Subramanian Ramamoorthy
Learning from Demonstration (LfD) is a useful paradigm for training policies that solve tasks involving complex motions, such as those encountered in robotic manipulation. In pract…