Titlebook: Knowledge Representation and Reasoning Under Uncertainty; Logic at Work Michael Masuch,László Pólos Conference proceedings 1994 Springer-Ve

Mosquito

书目名称Knowledge Representation and Reasoning Under Uncertainty影响因子(影响力)




书目名称Knowledge Representation and Reasoning Under Uncertainty影响因子(影响力)学科排名




书目名称Knowledge Representation and Reasoning Under Uncertainty网络公开度




书目名称Knowledge Representation and Reasoning Under Uncertainty网络公开度学科排名




书目名称Knowledge Representation and Reasoning Under Uncertainty被引频次




书目名称Knowledge Representation and Reasoning Under Uncertainty被引频次学科排名




书目名称Knowledge Representation and Reasoning Under Uncertainty年度引用




书目名称Knowledge Representation and Reasoning Under Uncertainty年度引用学科排名




书目名称Knowledge Representation and Reasoning Under Uncertainty读者反馈




书目名称Knowledge Representation and Reasoning Under Uncertainty读者反馈学科排名

细胞膜

Automated reasoning with uncertainties,unambiguous semantic characterization and computability properties. Our initial language is the language of normal clauses with SLDNF as the inference rule, and we select three specific facets of uncertainty for our study: . and ...The resulting language is . and .. It also admits relatively efficient implementations employing . and ..

eardrum

公理

CLASH

Conference proceedings 1994term applied logic has a far wider meaning, as numerous applications of logical methods, particularly in computer science, artificial intelligence, or formal linguistics, testify. As demonstrated also in this volume, a variety of non-standard logics gained increased importance for knowledge representation and reasoning under uncertainty.

G-spot

Conference proceedings 1994 are selected from 86 submissions and 8 invited contributions and are all devoted to knowledge representation and reasoning under uncertainty, which are core issues of formal artificial intelligence..Nowadays, logic is not any longer mainly associated to mathematical and philosophical problems. The

Veneer

即席演说

N斯巴达人

发展

An application of temporal logic for representation and reasoning about design,of events, is provided, and it is compared with the predicted behaviour of the system for evaluation. The modification of the causal rule set is performed analogously to the design modification. Although computationally complex, this method sheds light on the formal treatment of temporal constraints and knowledge in design.