Sciweavers

Share
ALDT
2015
Springer

Towards Decision Making via Expressive Probabilistic Ontologies

4 years 10 months ago
Towards Decision Making via Expressive Probabilistic Ontologies
Abstract. We propose a framework for automated multi-attribute decision making, employing the probabilistic non-monotonic description logics proposed by Lukasiewicz in 2008. Using this framework, we can model artificial agents in decision-making situation, wherein background knowledge, available alternatives and weighted attributes are represented via probabilistic ontologies. It turns out that extending traditional utility theory with such description logics, enables us to model decision-making problems where probabilistic ignorance and default reasoning plays an important role. We provide several decision functions using the notions of expected utility and probability intervals, and study their properties.
Erman Acar, Camilo Thorne, Heiner Stuckenschmidt
Added 15 Apr 2016
Updated 15 Apr 2016
Type Journal
Year 2015
Where ALDT
Authors Erman Acar, Camilo Thorne, Heiner Stuckenschmidt
Comments (0)
books