While a variety of persuasion agents have been created and applied in different domains such as marketing, military training and health industry, there is a lack of a model which can provide a unified framework for different persuasion strategies. Specifically, persuasion is not adaptable to the individuals’ personal states in different situations. Grounded in the Elaboration Likelihood Model (...

The focus of this article is to compare dynamic correlation models for the calculation of minimum variance hedge ratios between pairs of assets. Finding an optimal hedge requires not only knowledge of the variability of both assets, but also of the co-movement between the two assets. For this purpose, use is made of industry standard methods, like the naive hedging or the CAPM approach, more ad...

It is a well-known fact that stable semantics might not provide any extensions for some given abstract argumentation framework. Arguably such frameworks might be considered futile, at least with respect to stable semantics. We propagate σ -perfection stating that for a given argumentation graph all induced subgraphs provide σ -extensions. We discuss perfection and conditions for popular abstrac...

Data provenance refers to the historical record of the derivation of the data, allowing the reproduction of experiments, interpretation of results and identification of problems through the analysis of the processes that originated the data. Data provenance contributes to the evaluation of experiments. This paper presents a framework for data provenance using the W3C provenance data model, call...

In this work we formalize a natural expansion of timed argumentation frameworks by considering arguments that are available with (possibly) some repeated interruptions in time, called intermittent arguments. This framework is used as a modelization of argumentation dynamics. The notion of acceptability of arguments is analyzed as the framework evolves through time, and an algorithm for computin...

This paper deals with the task of appearance-based mapping and place recognition. Previously, the scope of a location generally varied between either using discrete poses or loosely defined sequences of poses, facing problems related to perceptual aliasing and path invariance respectively. Here, we present a unified framework for defining, modelling and recognizing places in a way which is dire...

This paper presents an abstract data model for visualizing RDF data based on the notion of nested graphs. Our study gives theoretical results that shows directions to enhance the representation and visualization of RDF data.

T. Antoni a, W. D. Apel b, A.F. Badea a,1, K. Bekk b, A. Bercuci b,1, H. Blümer b,a, H. Bozdog b, I. M. Brancus c, C. Büttner a, A. Chilingarian d, K. Daumiller a, P. Doll b, R. Engel b, J. Engler b, F. Feßler b, H. J. Gils b, R. Glasstetter a, R. Haeusler a, A. Haungs b, D. Heck b, J. R. Hörandel a, A. Iwan a,2, K.-H. Kampert a,b, H. O. Klages b, G. Maier b,3, H. J. Mathes b, H. J. Mayer b, J....

This paper examines and confirms the varying volatility of relationship between cryptocurrency currency markets at different time periods, such as when market encountered multiple risk events including US–China trade war, COVID-19, Russian–Ukraine war. We employ Diagonal BEKK model find that co-volatility spillover effects returns cryptocurrencies currencies, with exception Tether U.S. dollar i...