Causal model-based knowledge acquisition tools: discussion of experiments

✍ Scribed by Jean Charlet; Chantal Reynaud; Jean-Paul Krivine

• Publisher: Elsevier Science
• Year: 1996
• Tongue: English
• Weight: 286 KB
• Volume: 44
• Category: Article
• ISSN: 1071-5819
• DOI: 10.1006/ijhc.1996.0027

✦ Synopsis

The aim of this paper is to study causal knowledge and demonstrate how it can be used to support the knowledge acquisition process . The discussion is based on three experiments we have been involved in . First , we identify two classes of Causal Model-Based Knowledge Acquisition Tools (CMBKATs) : bottom-up designed causal models and top-down designed causal models . We then go on to discuss the properties of each type of tool and how they contribute to the whole knowledge acquisition process .