環世界表現仮説：普遍性の再考
The Umwelt Representation Hypothesis: Rethinking Universality
人工ニューラルネットワークと生物の脳の表現が一致するのは普遍的な最適解への収束ではなく、生態学的制約の重複によるものだとする「環世界表現仮説」を提案し、モデル比較の新たな視点を示した論文。
著者: Victoria Bosch, Rowan Sommers, Adrien Doerig, Tim C Kietzmann
分類: q-bio.NC, cs.LG
原文アブストラクト
Recent studies reveal striking representational alignment between artificial neural networks (ANNs) and biological brains, leading to proposals that all sufficiently capable systems converge on universal representations of reality. Here, we argue that this claim of Universality is premature. We introduce the Umwelt Representation Hypothesis (URH), proposing that alignment arises not from convergence toward a single global optimum, but from overlap in ecological constraints under which systems develop. We review empirical evidence showing that representational differences between species, individuals, and ANNs are systematic and adaptive, which is difficult to reconcile with Universality. Finally, we reframe ANN model comparison as a method for mapping clusters of alignment in ecological constraint space rather than searching for a single optimal world model.