… For this purpose, an interactive algorithm for deriving disjunctive probabilistic additive … ,
a disjunctive probability and additive consistency based interactive algorithm for ascertaining …

… marginal probabilities upfront, ie, we need to compute their posterior probabilities via lineage.
… We obtain disjunctive lineage whenever two or more rules (including base facts) imply the …

… lower bounds for conjunctive and disjunctive dissociations under the … Note that this article
does not address the algorithmic … We not do not focus on algorithmic aspects in this paper, but …

… concrete algorithms for causal reasoning in discrete probability … of the probability tree (d)
that emphasizes the probability mass … We also provide an interactive tutorial available online3, …

… for the simple, conjunctive and disjunctive models and the first discrimination parameter
for the compensatory model. The sample size by item type interaction had an impact on the …

… the interaction of noise with rare cases (true exceptions) and showed that this interaction
led … one-point crossover with crossover probability of 80%, and mutation probability of 1%. …

… assume, for simplicity, that decision weights coincide with stated probabilities. … disjunct
presents a clear scenario with compelling reasons for increasing or decreasing one’s probability …

… small-disjunct rules discovered by our genetic algorithm can … with crossover probability
of 80%, and mutation probability of 1%… attribute interaction - lead to the discovery of smalldisjunct …

… It also uses standard onepoint crossover with crossover probability of 80%, and mutation
probability of 1%. Furthermore, it uses elitism with an elitist factor of 1 – ie, the best individual of …

… small-disjunct rules based on genetic algorithms. The basic … with crossover probability
of 80%, and mutation probability of 1%. … attribute interaction lead to the discovery of small-disjunct …