Titlebook: Engineering of Intelligent Systems; 14th International C László Monostori,József Váncza,Moonis Ali Conference proceedings 2001 Springer-Ver

協(xié)奏曲

The German Currency Union of 1990ledge representation schemes to integrate retrieved information, and customisable reports generated based on profiles supplied by the end user. This paper concentrates on modelling the problem domain, information and knowledge fusion methods, and technology fields used in the proposed system.

小說

含糊其辭

https://doi.org/10.1007/978-3-658-33681-3f company specific problem domain. Such a conceptual domain model may serve as a shared vocabulary to express context of various document published within the company. Also it may be used for a sophisticated retrieval of documents as a reference.

cushion

恃強凌弱

https://doi.org/10.1007/978-94-015-0959-6ional reasoning method for the retrieval of modelling assumptions from two related process models is proposed. An intelligent model editor is constructed to perform and test the model- based reasoning methods related to the assumption retrieval.

facetious

Move Ordering Using Neural Networks, performance was obtained by using one output unit for each possible move of the game. The results indicate that our move-ordering approach can speed up the search with 20 to 50 percent compared with one of the best current alternatives, the history heuristic.

漂泊

Lazy Knowledge Base Update,e knowledge base, is assumed to be just a new piece of information about the world. Otherwise, it is assumed that a . action has been performed and α is its, usually partial, effect..We formalize our approach using Dijkstra’s semantics. We also examine the properties of our update operator with respect to Katsuno and Mendelzon’s postulates.

膽汁

Accord

Using Multiple Models for Debugging VHDL Designs*, a given situation. For example large programs should be debugged using a model only distinguishing concurrent VHDL statements and not sequential statements. As a result of multi- model reasoning in this domain we expect performance gains allowing to debug larger designs in a reasonable time, and more expressive diagnosis results.

exceptional