Sentence examples for probability of belief from inspiring English sources

where Δis the stable probability of belief state ξ.

In the proposed game model, the grid-agent and the customers agents are the players, and estimate real-time demand and price based on the probability of belief to each other.

Generally, the trust of a node can be defined as the probability of belief of a trustor (m) on a trustee (n), varying from 0 (complete distrust) to 1 (complete trust).

Belief and assent are matters of feeling, of sentiment, yes — but there are mathematical ways of thinking about the probabilities of belief.

Then, the BN estimates the following set of posterior probabilities (degrees of belief), making use of all the pre-computed conditional probabilities and the defined local independencies among the random variables of G : P ( C L j i = T r u e ∣ W i ), for 1 ≤ j ≤ J.

One very influential interpretation of probability as degree of belief relates probability to a willingness to bet against certain odds (cf. Ramsey 1926, De Finetti 1937/1964, Earman 1992, Jeffrey 1992, Howson 2000).

Later we will see that there are good reasons to distinguish inductive probabilities from Bayesian degree-of-belief probabilities and from purely logical probabilities.

While eliciting a probability distribution of beliefs over actions may look like a remedy to this problem, asking for a probability distribution requires full understanding of participants and auxiliary assumptions that subjects maximize expected payoffs.

The probability of such beliefs is a function not only of God's greatness in comparison to humans' cognitive powers, but also of what and how much God chooses to reveal about himself.

6 Eliciting point beliefs – instead of a probability distribution of beliefs over different actions – may be criticized because it may make it difficult to check the consistency of actions and beliefs.

Bayesian methods offer an alternative approach; they treat the parameters as random variables and define probability as "degrees of belief" (i.e., the probability of an event is the degree to believe the event is true).