
TL;DR
This paper introduces the concept of an 'Expertise Level' above traditional knowledge models, providing a new framework for understanding and modeling expertise in artificial and human systems.
Contribution
It proposes a novel 'Expertise Level' concept and a comprehensive Model of Expertise that integrates knowledge and skill levels, applicable to cognitive architectures and intelligent systems.
Findings
Application to cognitive architectures demonstrates the model's utility.
Analysis of famous intelligent systems using the model.
Provides a deeper understanding of expertise beyond knowledge.
Abstract
Computers are quickly gaining on us. Artificial systems are now exceeding the performance of human experts in several domains. However, we do not yet have a deep definition of expertise. This paper examines the nature of expertise and presents an abstract knowledge-level and skill-level description of expertise. A new level lying above the Knowledge Level, called the Expertise Level, is introduced to describe the skills of an expert without having to worry about details of the knowledge required. The Model of Expertise is introduced combining the knowledge-level and expertise-level descriptions. Application of the model to the fields of cognitive architectures and human cognitive augmentation is demonstrated and several famous intelligent systems are analyzed with the model.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
