属性付き対称モノイダル圏
Symmetric Monoidal Categories with Attributes
ロボットの位置などの属性を対象に付与した「属性付き対称モノイダル圏」を定義し、ロボット工学の計画記述への応用例を示した。
著者: Spencer Breiner, John S. Nolan
分類: math.CT, cs.AI, cs.RO
原文アブストラクト
When designing plans in engineering, it is often necessary to consider attributes associated to objects, e.g. the location of a robot. Our aim in this paper is to incorporate attributes into existing categorical formalisms for planning, namely those based on symmetric monoidal categories and string diagrams. To accomplish this, we define a notion of a "symmetric monoidal category with attributes." This is a symmetric monoidal category in which objects are equipped with retrievable information and where the interactions between objects and information are governed by an "attribute structure." We discuss examples and semantics of such categories in the context of robotics to illustrate our definition.