Research
Current papers on systems measurement, causal attribution, control, temporal cognition, and the organization of conscious task experience.
Introduces a systems-measurement framework for accumulated histories defined relative to explicit analytical boundaries. It focuses on preserving measurement lineage when a system boundary is enlarged, so an expanded model remains a genuine extension rather than silently replacing the original measurement.
Paper details →Shows that endpoint-control measures can preserve overall causal capacity while losing the temporal factorization needed to determine which earlier intervention coordinates still matter. The paper establishes the limitation constructively for deterministic and stochastic systems.
Paper details →Develops a stage-resolved method for causal attribution across candidate participation, selection, implementation, and realized outcomes. Stronger end-to-end attribution is warranted only when the necessary causal evidence remains valid across each stage.
Paper details →Separates the fact that a cognitive episode has an evolving history from whether it has usable information about its own elapsed position in time. It also distinguishes access to temporal information from whether time has authority to influence continuation or termination of the episode.
Paper details →Separates processing history, represented temporal extent, duration judgment, felt passage, and clock-linked action rather than treating them as one subjective-time variable. It proposes a systems methodology for preserving the meaning of those measurements as information sources and analytical boundaries change.
Paper details →Proposes that, within a broadly common action architecture, the functional location of the transition currently limiting progress predicts what the focal experienced problem is about. The paper turns that correspondence into a testable hypothesis while separating it from generic difficulty, effort, conflict, and semantic reconstruction.
Paper details →