Bayesian Networks We can see in Figure 3 that a plan fragment m ay be repeated many times in a CPP. We can speed up the reasoning process by abstracti ng away the "unnecessary" nodes in the BN rep resenting a plan fragment a nd storing the abstract B:.J. In the abstraction process we need to retain the interface and eviden ce variables. The interface variables consist of input variables which f...

Using trout producer survey data and the contingent valuation method, we estimate willingness to pay for a potential insurance policy. The survey was conducted in 2005 across the United States; 268 producers completed the survey instrument, resulting in a response rate of 81 percent. Design of the contingent valuation method takes into account two coverage levels and four premium rates. Using s...

This paper develops a statistically unbiased and simple method for measuring the difference of independent empirical distributions estimated by bootstrapping or other simulation approaches. This complete combinatorial method is compared with other unbiased and biased methods that have been suggested in the literature, first in Monte Carlo simulations and then in a field test of external and int...

Contingent planning is the task of generating a conditional plan given uncertainty about the initial state and action effects, but with the ability to observe some aspects of the current world state. Contingent planning can be transformed into an And-Or search problem in belief space, the space whose elements are sets of possible worlds. In (Brafman & Hoffmann 2004), we introduced a method for ...

OBJECTIVE Patients with social anxiety disorder exhibit increased attentional dwelling on social threats, providing a viable target for therapeutics. This randomized controlled trial examined the efficacy of a novel gaze-contingent music reward therapy for social anxiety disorder designed to reduce attention dwelling on threats. METHOD Forty patients with social anxiety disorder were randomly...

Contingent planning is the task of generating a conditional plan given uncertainty about the initial state and action effects, but with the ability to observe some aspects of the current world state. Contingent planning can be transformed into an And-Or search problem in belief space, the space whose elements are sets of possible worlds. In (Brafman & Hoffmann 2004), we introduced a method for ...