Marcus, S. McDermott, J. & Wang, T. (1985). Knowledge acquisition for constructive systems. Proceedings of the Ninth International Joint Conference on Artificial Intelligence.  Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Knowledge Acquisition with a Knowledge-Intensive Machine.. - Brunk, Pazzani (1992) (1 citation) (Correct)
....structure that FOCL generates to include the examples that motivate each literal. In addition to opening the learning process, we have added a number of features to FOCL that facilitate the knowledge acquisition process. The current generation of knowledge acquisition tools (e.g. Davis, 1978; Marcus, McDermott, Wang, 1985; Wilkins, 1988) are useful in helping the user to discover why a single example is not classified correctly and in helping to identify a change to the knowledge base to correct this single example. However, they do not provide tools to assess the impact of this change on other examples that are ....
Marcus, S. McDermott, J. & Wang, T. (1985). Knowledge acquisition for constructive systems. Proceedings of the Ninth International Joint Conference on Artificial Intelligence.
An Incompleteness Handling Methodology for Validation of Bayesian .. - Bawcom (1997) (4 citations) (Correct)
....an expert. These pitfalls include insufficient understanding of the domain, misinterpreted information, and the amount of interview time of both the knowledge engineer and expert (s) The MORE [12] system is an example of an automated KA system that helps refine an existing knowledge base. SALT [16] is a KA tool that identifies weaknesses in its knowledge base and tailors the KA process with the expert to strengthen these areas. 2.5 Knowledge Representation A knowledge representation scheme suitable for the problem domain is critical to the success of any KBS. The knowledge engineer must ....
Marcus, S., et al. "Knowledge Acquisition for Constructive Systems," Proceedings of the IJCAI-85 , 637--639 (1985). BIB-1
Detecting and Correcting Errors in Rule-Based Expert Systems: An.. - Pazzani (1991) (13 citations) (Correct)
....(Boose, 1984) automates the processes of eliciting problem characteristics, identifying important domain relations, and generating initial rules for a prototype. However, once the initial prototype is constructed, the rules must be revised manually. Similarly, KNACK (Klinker et al. 1989) and SALT (Marcus, McDermott Wang, 1985) assist in interviewing domain experts to elicit the knowledge required to instantiate a rule based expert system, but do not fully address the revision of the rule base when errors are discovered. TEIRESIAS (Davis, 1978) supports the expert and knowledge engineer in revising a rule base. It ....
Marcus, S. McDermott, J. & Wang, T. (1985). Knowledge acquisition for constructive systems. Proceedings of the Ninth International Joint Conference on Artificial Intelligence.
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