Presentation Information
[2Yin-A-12]Theoretical Foundations of Temporal Constraints in Heterogeneous Data Integration— A Structural Analysis Based on Exposure Time Reasoning —
〇KEIICHI SHIRAISHI1 (1. VARUNA LLC)
Keywords:
Data Integration,time constraints,Exposure Time,structural reasoning,AGI safety
[Objective] While the integration of heterogeneous data resources such as text, images, sensor data, and knowledge graphs has advanced significantly, theoretical challenges remain in their exploration, interpretation, and value extraction. The objective of this study is to clarify the structural constraints inherent in heterogeneous data integration from the perspective of the temporal structure of information exposure, and to theoretically identify the conditions under which knowledge emergence occurs. We propose a conceptual framework termed Exposure Time Reasoning, which models the integration process as a temporally ordered structure of information exposure. Exposure Time is defined as the minimum number of information update steps required for a candidate space to collapse while preserving consistency. [Results and Conclusion] By focusing on the structural limitation on the number of candidates that can be eliminated at each step, we argue that heterogeneous data integration intrinsically involves temporal constraints that make fully simultaneous or instantaneous convergence difficult. The proposed framework provides theoretical implications for multimodal data processing and for the design of safe inference mechanisms in advanced AI systems, including AGI.