Visual Perspective as an Emergent Heuristic: Insights for Self-Aware AI and World Modeling

This paper integrates the "Heuristic Physics" framework, which reinterprets physical laws as emergent, computationally viable heuristics, with the concept of embodied AI and the role of sensory feedback in developing self-awareness. We propose that visual perspective, far from being an ontological absolute, functions as a powerful semantic heuristic, enabling efficient world modeling and prediction in biological and artificial systems. Drawing parallels with 3D world building in game development, we illustrate how an AI, through continuous sensory-motor interaction and the development of a "synthetic insula," could "discover" and utilize such perceptual heuristics. This reframing offers a novel approach to AI's understanding of the physical world, moving from pre-programmed truths to adaptive, context-bound computational strategies for navigating complex environments and predicting cascading events.