Subjective opinions generalize probability distributions by including degrees of uncertainty which reflect lack of confidence in the probabilities. This paper describes a method for computing the joint subjective opinion of two variables which can be generalized to a method for computing joint subjective opinions over multiple variables in a subjective Bayesian network. We show how the joint op...

Con icts of interest arise between a decision maker and agents who have information pertinent to the problem because of di erences in their preferences over outcomes. We investigate how the decision maker can extract the information by distorting the decisions that will be taken. We show that only slight distortions will be necessary when agents' signals are sufciently accurate or when the numb...

Bedrails Bedrails used on the beds of adult hospital patients or care home residents are also called side rails, cotsides or safety rails. This article uses the word ‘bedrails’ as it is the clearest term and because patients prefer it (NPSA, 2007c). Bedrail use is common in health and social care settings, with reported prevalence in UK hospitals of 8%–39%, and in nursing homes internationally ...

Solomon Asch was a member of the Institute for Advanced Study, 1958-1960 and 1970; a Senior Fellow of the U.S. Public Health Service, 1959-1960; and a Fellow of the Center for Advanced Study in the Behavioral Sciences (1976-77). He was awarded the Nicholas Murray Butler Medal from Columbia University in 1962 and the Distinguished Scientific Contribution Award from the American Psychological Ass...

A Note on Handling Information Known to the Opinion Preparer A Note on Handling Excluded Opinions § 9:1 The Three-Set Opinion Pattern § 9:2 Identifying and Defining the Party Whose Status Is at Issue A Note on Entity Formation § 9:3 Opinions as to Entity Status A Note on the Significance of Status Opinions § 9:3.1 Incorporated Status, Organization, and Valid Existence [A] Incorporation [B] Orga...

Given the incessant growth of documents describing the opinions of different people circulating on the web, including Web 2.0 has made it possible to give an opinion on any product in the net. In this paper, we examine the various opinions expressed in the tweets and classify them (positive, negative or neutral) by using the emoticons for the Bayesian method and adjectives and adverbs for the T...