Titlebook: Symbolic and Quantitative Approaches to Reasoning with Uncertainty; 9th European Confere Khaled Mellouli Conference proceedings 2007 Spring

deriver

Measure LogicIn this paper we investigate logic which is suitable for reasoning about uncertainty in different situations. A possible-world approach is used to provide semantics to formulas. Axiomatic system for our logic is given and the corresponding strong completeness theorem is proved. Relationships to other systems are discussed.

APEX

978-3-540-75255-4Springer-Verlag Berlin Heidelberg 2007

granite

Symbolic and Quantitative Approaches to Reasoning with Uncertainty978-3-540-75256-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

Asymptomatic

0302-9743 Overview: 978-3-540-75255-4978-3-540-75256-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

grieve

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/t/image/883852.jpg

輕觸

https://doi.org/10.1007/978-3-540-75256-1Fuzzy; Hidden Markov Model; algorithmic learning; algorithms; bayesian networks; fuzzy information; game t

Keshan-disease

表示問

Cholagogue

oncologist