Go as Training for Field Dynamics: Embodied Learning of Relational Emergence

The game of Go has been played for over 2,500 years, yet its enduring appealresists simple explanation. This paper proposes that Go functions as embodiedtraining for field dynamics-- the intuitive grasp of how local interactions generateglobal structure. Drawing on the Relational Emergence Systems framework(Ishibashi, 2026c) and the morphism network perspective (Ishibashi, 2026a), weargue that Go players develop tacit knowledge of phenomena that physicsdescribes mathematically: attraction basins, phase transitions, symmetrybreaking, and emergent order. Unlike chess, where piece values areapproximately additive, Go exhibits genuine field effects--stones have nointrinsic value; their significance emerges entirely from relational configuration.Each move functions as a local theorem derived from the current board state asaxioms; joseki represent theorems of intermediate generality; and the gameterminates only through mutual consensus--order emerging without externalauthority. Crucially, effective training requires opponents of matched skill,fostering communities of practice where mindfulness extends beyondself-awareness to encompass the other's perception. In an age of AI supremacyand social fragmentation, Go offers not competition with machines but cultivationof relational intelligence--the capacity to perceive fields, build communities, andnavigate a world whose axioms shift beneath our feet.