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Article

Janžura, Martin ; Boček, Pavel
A method for knowledge integration. (English). Kybernetika, vol. 34 (1998), issue 1, pp. [41]-55
MSC: 60J10, 60J22, 62H99, 65C05, 65C40, 68T30, 68T35 | MR 1619054 | Zbl 1274.65004
Keywords:
Markov chain Monte Carlo; multi-dimensional distribution; Gibbs distribution; sampled data; knowledge integration; expert systems
Summary:
With the aid of Markov Chain Monte Carlo methods we can sample even from complex multi-dimensional distributions which cannot be exactly calculated. Thus, an application to the problem of knowledge integration (e. g. in expert systems) is straightforward.
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