Symmetric Monoidal Categories with Attributes
Category Theory
2021-01-27 v1 Artificial Intelligence
Robotics
Abstract
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.
Keywords
Cite
@article{arxiv.2101.10480,
title = {Symmetric Monoidal Categories with Attributes},
author = {Spencer Breiner and John S. Nolan},
journal= {arXiv preprint arXiv:2101.10480},
year = {2021}
}
Comments
In Proceedings ACT 2020, arXiv:2101.07888