Cyberlogic-enabled Thinking Space: a closed-loop human-cyber cognitive architecture in CPST

Human–AI collaboration in Cyber–Physical–Social–Thinking (CPST) environments requires coordination among perception, reasoning, human judgment, and governance. This paper proposes Cyberlogic-enabled Thinking Space (CyTS), a conceptual governance-centric architecture organized through Entity, Mapping, Reasoning, and Governance layers. Its closed loop connects multimodal representation, heterogeneous reasoning, collaborative decisions, and controlled adaptation. The Entity layer provides operational descriptions rather than a sufficient ontology of cognition; logical consistency and predictive accuracy do not by themselves establish the causal validity of an action. CyTS therefore distinguishes associative, deductive, interventional, and exploratory claims and requires explicit assumptions, evidence provenance, uncertainty, and verification status at component interfaces. Structural causal models provide one implementable route, while equilibrium-based causal logic and proposals concerning brain–universe similarity and entangled machine thinking are examined as research perspectives with separate validation requirements. Governance mechanisms support privacy, accountability, human oversight, and runtime monitoring, including abstention when evidence or constraints are insufficient. Research hypotheses and evaluation protocols address causal transparency, decision quality, adaptation, cross-space coordination, and energy cost. Healthcare, education, and transportation scenarios illustrate the proposed workflow; they do not constitute empirical validation. CyTS contributes an auditable organizational framework and a testable implementation agenda, without claiming a completed theory of cognition or demonstrated performance gains.