We study a framework for constructing coherent and convex measures of risk that is inspired by infimal convolution operator, and which is shown to constitute a new general representation of these classes of risk functions. We then discuss how this scheme may be effectively applied to obtain a class of certainty equivalent measures of risk that can directly incorporate preferences of a rational ...

In conventional epistemic analysis of solution concepts in complete information games, complete information is implicitly interpreted to mean common certainty of (i) a mapping from action profiles to outcomes; (ii) players’ (unconditional) preferences over outcomes; and (iii) players’ preferences over outcomes conditional on others’ actions. We characterize a new solution concept—preference-cor...

This paper presents an approach to integrate the concepts of indefinite information with certainty factor in an object-oriented framework. In this work, the concept of traditional indefinite information is extended to include certainty factors so that indefiniteness can be measured. Indefinite information with certainty factors is classified into two categories: certainty factors of association...

Background: This article is number 12 in a series of 21 articles on tools for evidenceinformed health policymaking and addresses the issue of decision making when there is insufficient evidence. Policymakers often have insufficient evidence to know with certainty what the impacts of a health policy or programme will be. They must still make decisions. Objectives: In this article, we suggest fou...

Abstract This study examined how illicit drug users perceived roadside testing (RDT) in Queensland, a jurisdiction that enforces zero-tolerance enforcement strategy to driving. Fifty-two were interviewed, and thematic analysis was used identify emerging themes. The results showed exposure RDT apprehension certainty reportedly low. targeted regime of had dichotomous implications towards certaint...

We address the problem of assessing the information conveyed by a finite discrete probability distribution, within the context of knowledge discovery. Our approach is based on two main axiomatic intuitions: (i) the minimum information is given in the case of a uniform distribution, and (ii) knowledge is akin to a notion of richness, related to the dimension of the distribution. From this perspe...

Previous work on concept learning has focused on how concepts are acquired without addressing metacognitive aspects of this process. An important part of concept learning from a learner’s perspective is subjectively knowing when a new concept has been effectively learned. Here, we investigate learners’ certainty in a classic Boolean concept-learning task. We collected certainty judgements durin...

Infinite games where several players seek to coordinate under imperfect information are known to be intractable, unless the information flow is severely restricted. Examples of undecidable cases typically feature a situation where players become uncertain about the current state of the game, and this uncertainty lasts forever. Here we consider games where the players attain certainty about the ...

Like many discussions on the pros and cons of epistemic foundationalism, the debate between C.I. Lewis and H. Reichenbach dealt with three concerns: the existence of basic beliefs, their nature, and the way in which beliefs are related. In this paper we concentrate on the third matter, especially on Lewis’s assertion that a probability relation must depend on something that is certain, and Reic...

World modelling for mobile autonomous robot is usually a process that uses sensor data as input and provides a model of the robot’s environment as output. In this paper we investigate on sensor fusion methods for robustness and fault tolerance. We evaluate three methods according to their performance, memory consumption, and required sensor configurations. The algorithms have been implemented i...