The Expertise Level
This work addresses the conceptual gap in defining expertise for AI researchers and practitioners, but it is incremental as it builds on existing knowledge-level frameworks.
The paper tackles the problem of lacking a deep definition of expertise in artificial systems by introducing the Expertise Level, an abstract description above the Knowledge Level, and applies this model to analyze intelligent systems in cognitive architectures and human augmentation.
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.