Summary of Capabilities: An Ontology, by John Beverley et al.
Capabilities: An Ontology
by John Beverley, David Limbaugh, Eric Merrell, Peter M. Koch, Barry Smith
First submitted to arxiv on: 30 Apr 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Logic in Computer Science (cs.LO)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach to understanding capabilities is presented in this paper. The authors define capabilities as dispositions that have practical significance and develop an ontological framework to analyze them. This study aims to provide a robust account of capabilities that can be applied across various domains, including research areas where capabilities data are currently isolated. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Capabilities refer to the abilities or powers that something possesses. Think of it like a car’s ability to handle ice roads or a rabbit’s lung capacity when running from a wolf. This paper tries to understand and define what capabilities are, so they can be studied in different fields where data is collected separately. |