ロボティクスにおける意味論：環境データから人間行動の慣習は得られない
Semantics in Robotics: Environmental Data Can't Yield Conventions of Human Behaviour
ロボティクスでいう「意味論」は環境データから抽出できるものではなく、人間行動の慣習に基づくデータであると論じ、特にアフォーダンスが物理理解と超知能を要する問題であることを明らかにした。
分類: cs.RO, cs.AI
原文アブストラクト
The word semantics, in robotics and AI, has no canonical definition. It usually serves to denote additional data provided to autonomous agents to aid HRI. Most researchers seem, implicitly, to understand that such data cannot simply be extracted from environmental data. I try to make explicit why this is so and argue that so-called semantics are best understood as data comprised of conventions of human behaviour. This includes labels, most obviously, but also places, ontologies, and affordances. Object affordances are especially problematic because they require not only semantics that are not in the environmental data (conventions of object use) but also an understanding of physics and object combinations that would, if achieved, constitute artificial superintelligence.