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Application of uncertain variables to knowledge-based resource allocation in a group of research units

Bubnicki Z., Orski D.

Systems Science

2004

Vol. 30, no 2

75-87

The paper is concerned with the problem of a knowledge-based resource distribution in a group of research units. The uncertain parameters in the relational knowledge representation are assumed to be values of uncertain variables characterized by an expert in the form of certainty distributions. Two versions of the problem have been formulated. In the second version, a "productivity" of the units in the former period and the estimation of the current possibilities presented by the expert are taken into account. The results and examples concerning the second version have been presented.

Learning algorithms for a class of knowledge-based systems with dynamical knowledge representation.

Bubnicki Z.

Systems Science

2000

Vol. 26, nr 1

15-27

The paper deals with a specific class of knowledge-based systems with a dynamical plant described by a knowledge representation with unknown parameters. The learning consists of step by step knowledge evaluation and updating, and using the results for the determination of the current control decisions. The paper presents an extension of methods and algorithms described by the author (1999) for the knowledge-based learning systems with a static plant. Two forms of the plant descriptions are taken into account: the relational knowledge representation, and the logical knowledge representation. A simple illustrative example is given.