This study investigates the relationship between religious belief, tolerance, and students’ happiness. It aims to explore moderating effect of tolerance on belief The adopts a quantitative methodology, surveying 734 university students. data is analyzed using Structural Equation Modelling in Mplus. results indicate that influences Additionally, happiness positively. Religious also has direct hi...

Digital fountain is a new class of the forward error correction technology. One of the most important features is the characteristic called rateless, which allows encoders to generate codewords unlimitedly. As the first practical implementation of digital fountain, LT codes have been widely utilized in many areas, including multimedia streaming, long-distance communication, broadcasting systems...

There is currently widespread public misunderstanding about the degree of scientific consensus on human-caused climate change, both in the US as well as internationally. Moreover, previous research has identified important associations between public perceptions of the scientific consensus, belief in climate change and support for climate policy. This paper extends this line of research by adva...

John Locke proposed a straightforward relationship between qualitative and quantitative doxastic notions: belief corresponds to a sufficiently high degree of confidence. Richard Foley has further developed this Lockean thesis and applied it to an analysis of the preface and lottery paradoxes. Following Foley’s lead, we exploit various versions of these paradoxes to chart a precise relationship ...

In forecasting and decision making, people can and often do represent a degree of belief in some proposition. At least two separate constructs have been identified to capture such degrees of belief: likelihood and support. This paper explores the support or justification that evidence affords propositions, with subjects using belief functions to communicate degrees of support. Legal situations ...

In this paper, we present a decision support system which is based on the transferable belief model(TBM), a model that quantiies someone's degree of belief using belief functions. The system performs evidential reasoning and decision making by integrating an evidential system for belief function propagation and a valuation-based system for Bayesian decision analysis. The two subsystems are both...

Abstract. This paper reports the first results of a simulation experiment. There are two databases, one containing true propositions and the other containing their correspective negations. Five agents in turn access one of them. Each agent has a “capacity” that will be used as the frequency with which the agent accesses (unconscously) the database with the correct knowledge. Agents randomly exc...

Irregular Repeat-Accumulate (IRA) codes, introduced by Jin et al., have a linear-time encoding algorithm and their decoding performance is comparable to that of irregular low-density parity-check (LDPC) codes. Meanwhile the authors have introduced detailedly represented irregular LDPC code ensembles specified with joint degree distributions between variable nodes and check nodes. In this paper,...

Many AI domains are nonmonotonic. The resulting uncertainty is often dealt with by associating degree-of-belief ratings (conditional probabilities) with propositions. However, in some domains, a key issue is determining the subset of the available data that the agent should process to use as the basis for making a decision about how to act. Since belief ratings provide no sense of their \re-lia...