no code implementations • 20 Jun 2018 • Gerhard Brewka, Jörg Pührer, Hannes Strass, Johannes P. Wallner, Stefan Woltran
Abstract Dialectical Frameworks (ADFs) generalize Dung's argumentation frameworks allowing various relationships among arguments to be expressed in a systematic way.
no code implementations • 18 May 2017 • Johannes Oetsch, Jörg Pührer, Hans Tompits
Similar to debugging in imperative languages, where the behaviour of a program is observed during a step-by-step execution, stepping for ASP allows for observing the effects that rule applications have in the computation of an answer set.
no code implementations • 17 Nov 2016 • Stefan Ellmauthaler, Jörg Pührer
When a processing unit relies on data from external streams, we may face the problem that the stream data needs to be rearranged in a way that allows the unit to perform its task(s).
no code implementations • 12 Sep 2016 • Gerhard Brewka, Stefan Ellmauthaler, Ricardo Gonçalves, Matthias Knorr, João Leite, Jörg Pührer
Managed multi-context systems (mMCSs) allow for the integration of heterogeneous knowledge sources in a modular and very general way.
no code implementations • 31 Mar 2016 • Thomas Linsbichler, Jörg Pührer, Hannes Strass
Realizability for knowledge representation formalisms studies the following question: given a semantics and a set of interpretations, is there a knowledge base whose semantics coincides exactly with the given interpretation set?
no code implementations • 20 May 2015 • Gerhard Brewka, Stefan Ellmauthaler, Jörg Pührer
We show in this paper how managed multi-context systems (mMCSs) can be turned into a reactive formalism suitable for continuous reasoning in dynamic environments.
no code implementations • 20 May 2015 • Jörg Pührer
We present initial ideas for a programming paradigm based on simulation that is targeted towards applications of artificial intelligence (AI).
no code implementations • 20 May 2015 • Stefan Ellmauthaler, Jörg Pührer
In this work, we present asynchronous multi-context systems (aMCSs), which provide a framework for loosely coupling different knowledge representation formalisms that allows for online reasoning in a dynamic environment.