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How Do Real Operational Shapes Reorganize Inference, Meaning, and Scientific Reality? Belief-Model Operational Dynamics, Physical Transitions, Speed, Brandom and Wolfendale, AI, Xenoscience, and Autonomous Science

Fujie, Naoto · 2026
PhilArchive · Papers · 2026
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philosophy
This paper develops Operational-Shape Realism through a reconstruction of belief-model operational dynamics, physical transitions, inferential semantics, and autonomous scientific inquiry. It investigates how heterogeneous operations across material, computational, biological, and institutional configurations generate, transform, preserve, and dissolve the conditions under which inference, meaning, modality, and scientific practices become operative. Building on earlier research into belief-model penetration dynamics, the paper examines how locally ignited operational configurations modify subsequent physical and institutional arrangements, including the conditions of their own reactivation. Semiconductor transitions, cellular processes, artificial neural networks, scientific instruments, and AI organizations are analyzed through their distinct temporal scales, intervention conditions, and feedback relations. The argument engages Sellars’s space of reasons, Brandom’s inferential semantics and modal expressivism, and Wolfendale’s realism and naturalism while preserving their philosophical achievements. It distinguishes physical implementation, inferential relations, normative attribution, objective modal relations, justification, and material consequences. The study integrates contemporary research on Transformers, spiking neural networks, neural cellular automata, memristive computing, self-modifying AI, and autonomous scientific systems. Existing computational experiments and additional synthetic comparisons examine historical retention, structural modification, generated observability, correction latency, and intervention-dependent state transitions. The results support a differentiated account of operational reorganization while also identifying significant limitations. Computational adaptation does not establish normative standing, autonomous sensor generation, or materially self-reproducing scientific inquiry. The paper concludes by developing Xenoscience as a research program concerned with the transformation of the material and organizational conditions of scientific investigation, including configurations in which established inferential and semantic practices are transformed, suspended, or rendered unnecessary.
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