Möbus, Claus and Seebold, Heiko (2005) A Greedy Knowledge Acquisition Method for the Rapid Prototyping of Bayesian Belief Networks. In: Artificial Intelligence in Education. Artificial Intelligence in Education . IOS Press, Amsterdam, pp. 875-877. ISBN 1-58603-530-4
|
- Published Version
Volltext (97Kb) |
Abstract
Bayesian belief networks (BBNs) are a standard tool for building intelligent systems in domains with uncertainty for diagnostics, therapy planning and user-modelling. Modelling their qualitative and quantitative parts requires sometimes subjective data acquired from domain experts. This can be very time consuming and stressful - causing a knowledge acquisition bottleneck. The main goal of this paper is the presentation of a new knowledge acquisition procedure for rapid prototyping the qualitative part of BBNs. Experts have to provide only simple judgements about the causal precedence in pairs of variables. From these data a new greedy algorithm for the construction of transitive closures generates a Hasse diagram as a first approximation for the qualitative model. Then experts provide only simple judgements about the surplus informational value of variables for a target variable shielded by a Markov blanket (wall) of variables. This two-step procedure allows for very rapid prototyping. In a case-study we and two expert cardiologists developed a first 39 variables prototype BBN within two days
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | structure learning, rapid prototyping, Bayesian belief networks, pairwise causal precedence judgments, greedy algorithm, transitive closure, Hasse diagram, Markov blanket, diagnostic assitance for cardiology |
| Subjects: | Generalities, computers, information > Computer science, internet Philosophy and psychology > Psychology |
| Divisions: | School of Computing Science, Business Administration, Economics and Law > Department of Computing Science |
| Date Deposited: | 22 Sep 2014 11:04 |
| Last Modified: | 22 Sep 2014 11:04 |
| URI: | https://oops.uni-oldenburg.de/id/eprint/1916 |
| URN: | urn:nbn:de:gbv:715-oops-19974 |
| DOI: | |
| Nutzungslizenz: |
Actions (login required)
 |
View Item |
