Results 281 to 290 of about 188,896 (327)
A study on intuitionistic fuzzy generating function using T-Norm, T-Conorm operators to enhance night-time images for autonomous driving system. [PDF]
Sci RepRagavendirane MS, Dhanasekar S.
europepmc +1 more source
Inference for a new probabilistic constraint logic
, 2013 Steffen Michels +4 more
openalex +1 more source
A directed weighted network approach for hazard chain risk assessment including heavy rainfall induced geological disasters and flooding. [PDF]
Sci RepPei J, Dai C, Cui T.
europepmc +1 more source
Assisting clinical diagnosis with interpretable fuzzy probabilistic modelling. [PDF]
BMC Med Inform Decis MakCapitoli G +5 more
europepmc +1 more source
MEF2C networks in heart tube development. [PDF]
Genes DevAbdulrazzak H, Mercola M.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Artificial Intelligence, 1986
Als Verallgemeinerung der klassischen Logik wird eine Logik mit Wahrheitswerten zwischen 0 und 1 vorgestellt. Techniken zur Berechnung der Wahrscheinlichkeit von Folgerungen und bedingten Wahrscheinlichkeiten, u.a. eine approximative Methode, werden angegeben.
openaire +2 more sources
Als Verallgemeinerung der klassischen Logik wird eine Logik mit Wahrheitswerten zwischen 0 und 1 vorgestellt. Techniken zur Berechnung der Wahrscheinlichkeit von Folgerungen und bedingten Wahrscheinlichkeiten, u.a. eine approximative Methode, werden angegeben.
openaire +2 more sources
2011
We define an extension of stit logic that encompasses subjective probabilities representing beliefs about simultaneous choice exertion of other agents. This semantics enables us to express that an agent sees to it that a condition obtains under a minimal chance of success.
openaire +2 more sources
We define an extension of stit logic that encompasses subjective probabilities representing beliefs about simultaneous choice exertion of other agents. This semantics enables us to express that an agent sees to it that a condition obtains under a minimal chance of success.
openaire +2 more sources
Probabilistic Dynamic Epistemic Logic
Journal of Logic, Language and Information, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Probabilistic Logic and Induction
Journal of Logic and Computation, 2005Summary: We give a probabilistic interpretation of first-order formulas based on Valiant's model of pac-learning. We study the resulting notion of probabilistic or approximate truth and take some first steps in developing its model theory. In particular we show that every fixed error parameter determining the precision of universal quantification gives
openaire +1 more source
2013
In a seminal paper Goldfarb (1979) points out that ”The connection between quantifiers and choice functions or, more precisely, between quantifier-dependence and choice functions, is at the heart of how classical logicians in the twenties viewed the nature of quantification.” (Goldfarb 1979, p. 357).
openaire +1 more source
In a seminal paper Goldfarb (1979) points out that ”The connection between quantifiers and choice functions or, more precisely, between quantifier-dependence and choice functions, is at the heart of how classical logicians in the twenties viewed the nature of quantification.” (Goldfarb 1979, p. 357).
openaire +1 more source