BACKGROUND Students' epistemic beliefs may vary in different domains; therefore, it may be beneficial for medical educators to better understand medical students' epistemic beliefs regarding medicine. Understanding how medical students are aware of medical knowledge and how they learn medicine is a critical issue of medical education. The main purposes of this study were to investigate medical ...

this paper compares epistemic virtue from the viewpoints of zagzebski and mulla sadra, aiming to determine the extent to which their viewpoints on epistemic virtue are similar. zagzebski, the contemporary philosopher, considers epistemic virtue as the basis on which knowledge is interpreted. she sees epistemic virtue as a requirement for achieving knowledge. mulla sadra, the founder of transcen...

A proper representation of the uncertainty involved in a prediction is an important prerequisite for the acceptance of machine learning and decision support technology in safety-critical application domains such as medical diagnosis. Despite the existence of various probabilistic approaches in these fields, there is arguably no method that is able to distinguish between two very different sourc...

Uncertainties enter into a complex problem from many sources: variability, errors, and lack of knowledge. A fundamental question arises in how to characterize the various kinds of uncertainty and then to combine them within a problem such as the verification and validation of a structural dynamics computer model, reliability of a dynamic system, or a complex decision problem. Our aim is to expl...

This paper reviews a number of foundational results at the intersection of epistemic logic, decision and game theory. It first presents a decisiontheoretic underpinning of epistemic analysis in terms of modal operators. Then it moves to the theory of strategic interaction, and show how this kind of epistemic analysis sheds light on the assumptions underlying wellknown solution concepts, both fo...

One of the main challenges in designing information fusion systems is to decide on structure and order which aggregated. The key criteria by topologies are constructed include associativity rules as well consistency redundancy sources. Fusion regarding these flexible design, produce maximal specific information, robust against unreliable or defective In this article, an automated data-driven de...

This paper proposes an integrated approach to indeterminacy and epistemic uncertainty in order to model an intelligent agent’s decision making about the assertability of vague statements. Initially, valuation pairs are introduced as a model of truth-gaps for propositional logic sentences. These take the form of lower and upper truth-valuations representing absolutely true and not absolutely fal...

We present a framework for automated planning based on plausibility models, as well as algorithms for computing plans in this framework. Our plausibility models include postconditions, as ontic effects are essential for most planning purposes. The framework presented extends a previously developed framework based on dynamic epistemic logic (DEL), without plausibilities/beliefs. In the pure epis...

The standard probability tree methodology of probabilistic seismic hazard assessment (PSHA) allows for the explicit treatment of many kinds of uncertainty. These include both epistemic uncertainty (e.g., uncertainty in the parameters of the frequency-magnitude relation for a given source region, and in the form and parameters of relations for attenuation of strong shaking) and aleatory uncertai...

Probabilistic estimation of losses in a building due to earthquake damage is a topic of interest to decision makers and an area of active research. One promising approach to the problem, proposed by the Pacific Earthquake Engineering Research (PEER) Center, involves breaking the analysis into separate components associated with ground motion hazard, structural response, damage to components and...