2 research outputs found
Terminological knowledge aquisition in probalistic description logic
For a probabilistic extension of the description logic EL⊥, we consider the task of automatic acquisition of terminological knowledge from a given probabilistic interpretation. Basically, such a probabilistic interpretation is a family of directed graphs the vertices and edges of which are labeled, and where a discrete probabilitymeasure on this graph family is present. The goal is to derive so-called concept inclusions which are expressible in the considered probabilistic description logic and which hold true in the given probabilistic interpretation. A procedure for an appropriate axiomatization of such graph families is proposed and its soundness and completeness is justified
Online Fair Division: A Survey
We survey a burgeoning and promising new research area that considers the
online nature of many practical fair division problems. We identify wide
variety of such online fair division problems, as well as discuss new
mechanisms and normative properties that apply to this online setting. The
online nature of such fair division problems provides both opportunities and
challenges such as the possibility to develop new online mechanisms as well as
the difficulty of dealing with an uncertain future.Comment: Accepted by the 34th AAAI Conference on Artificial Intelligence (AAAI
2020