Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
SOAR: an architecture for general intelligence
Artificial Intelligence
AI Magazine
Design problem solving: a task analysis
AI Magazine
ACM Computing Surveys (CSUR)
KADS: a modelling approach to knowledge engineering
Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
Grounding GDMs: a structured case study
International Journal of Human-Computer Studies
Solving VT in VITAL: a study in model construction and knowledge reuse
International Journal of Human-Computer Studies - Special issue: the Sisyphus-VT initiative
Common KADS Library for Expertise Modelling
Common KADS Library for Expertise Modelling
Automating Knowledge Acquisition for Expert Systems
Automating Knowledge Acquisition for Expert Systems
Constructing Knowledge-Based Systems
IEEE Software
CommonKADS: A Comprehensive Methodology for KBS Development
IEEE Expert: Intelligent Systems and Their Applications
CML: The CommonKADS Conceptual Modelling Language
EKAW '94 Proceedings of the 8th European Knowledge Acquisition Workshop on A Future for Knowledge Acquisition
The Ontologies of Semantic and Transfer Links
EKAW '99 Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management
Knowledge Engineering with Semantic and Transfer Links
ICCS '99 Proceedings of the 7th International Conference on Conceptual Structures: Standards and Practices
| Hi-index | 0.01 |
The KEML (Knowledge Engineering Methods and Languages) workshop which took place on 22–24 January at the Open University in Milton Keynes (UK) was the seventh in a series of workshops on methods and languages for knowledge engineering. Although t he KEML acronym suggests a broad knowledge engineering connotation, in practice the main emphasis of these workshops is on the construction, formalisation, verification and use of knowledge models. The term “knowledge model” originate s from the work of Allen Newell (1982), who proposed a level of description — the knowledge level — which abstracts from implementation-related considerations to focus on the actions, goals and knowledge embodied by a problem solving agent.