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This paper proposes a second parameter, phase, in language interpretation, arguing that current transformer models lack explicit representation for phase, which is crucial for phenomena like allusion and irony, and suggests new architectures with agent-indexed semantic states.
This paper develops a quantum-like extension of the Tug-of-War decision-making model, using a qutrit internal state to model context dependence and decision dynamics, and argues that contextual probability is a resource signature of minimal decision dynamics.
This paper proposes that quantum probability can be understood as a projection of contextual spacetime formation under finite-state requirements, reinterpreting interference and noncommutativity as mismatches from a fixed classical spacetime projection.