<p>The psychological research strategies of studying epistemic curiosity traditionally consider four factors motivation to search for new information: the degree familiarity with subject, expected value information, cultural framework tolerance information and features material resources situation. A comparison these models shows that regardless where study begins — in behavior,...

We investigate a series of logics that allow to reason about agents’ actions, abilities, and their knowledge about actions and abilities. These logics include Pauly’s Coalition Logic CL, Alternating-time Temporal Logic ATL, the logic of ‘seeing-to-it-that’ (STIT), and epistemic extensions thereof. While complete axiomatizations of CL and ATL exist, only the fragment of the STIT language without...

Theories of knowledge representation and reasoning about knowledge in philosophy are considered from the vantage point of epistemic logic. This logic is primarily a logic of knowing that, and its semantics can be considered an explication of the well-known idea that "information means elimination of uncertainty". A number of other theories are discussed as further developments of epistemic logi...

Due to the inherent aleatory uncertainties in renewable generators, the reliability/adequacy assessments of distributed generation (DG) systems have been particularly focused on the probabilistic modeling of random behaviors, given sufficient informative data. However, another type of uncertainty (epistemic uncertainty) must be accounted for in the modeling, due to incomplete knowledge of the p...

The sources and characterization of uncertainties in engineering modeling for risk and reliability analyses are discussed. While many sources of uncertainty may exist, they are generally categorized as either aleatory or epistemic. Uncertainties are characterized as epistemic, if the modeler sees a possibility to reduce them by gathering more data or by refining models. Uncertainties are catego...

To validate multiscale simulation models, it is necessary to consider evidence collected at a length scale that is different from the one at which a model predicts. In addition, epistemic and aleatory uncertainties need to be distinguished for more robust decision making. In this study, a Bayesian approach with generalized interval probability is taken for model parameter validation. A generali...

This paper proposes formulations and algorithms for design optimization under both aleatory (i.e., natural or physical variability) and epistemic uncertainty (i.e., imprecise probabilistic information), from the perspective of system robustness. The proposed formulations deal with epistemic uncertainty arising from both sparse and interval data without any assumption about the probability distr...

This article introduces a type of uncertainty that resides in textual information and requires epistemic interpretation on the information seeker’s part. Epistemic modality, as defined in linguistics and natural language processing, is a writer’s estimation of the validity of propositional content in texts. It is an evaluation of chances that a certain hypothetical state of affairs is true, e.g...

Problems of conceptual uncertainty have been dealt with in theories of formal logic. Such theories try to accommodate vagueness in two main ways. One is fuzzy logic that introduces degrees of truth. The other way of accommodating formal logic to vagueness is super valuations and its descendants. This paper studies a more inclusive class of reasoning support than formal logic. In the present app...