Research on Information Flow Consciousness Logic Based on Cognitive Interaction

The study on information flow consciousness logic grounded in cognitive interaction aims to construct an interdisciplinary theoretical framework to elucidate the intrinsic mechanisms of information flow, cognitive processing, and the dynamic generation of consciousness in human-intelligent agent interactions.Using literature analysis and bibliometric methods, this study visually maps the current state of interaction design under cognitive load theory and synthesizes a decade of research in this field, both domestically and internationally.It also examines the application of interaction design principles within cognitive load theory and identifies emerging trends.The findings suggest that interdisciplinary integration and user-centric multi-channel interaction design will be key future development trends.Information flow modeling delineates the transmission pathways of multimodal perceptual inputs, neural-symbolic representation transformations, and social interactions, thereby clarifying the dynamic organization of information within cognitive systems.Cognitive logic inference integrates dynamic logic, modal logic, and probabilistic reasoning to construct formal models that describe belief updates, goal-directed decision-making, and mechanisms for achieving group consensus in interactive settings.The emergence mechanism of consciousness merges neuroscientific evidence (e.g., global workspace activation patterns and predictive coding error signals) with computational modeling to explain how information flow is transformed into phenomenal consciousness experiences through hierarchical processing and logical constraints.To transcend the static limitations of traditional logic, the study employs hybrid neural-symbolic modeling, multi-agent simulation, and cognitive experiments.It proposes non-monotonic logical inference and dynamic information flow control strategies tailored for open environments.