arXiv:2607. 21208v1 Announce Type: new Abstract: Pearl famously argues that causal knowledge enables the prediction of intervention effects.
By Kilian Rueckschloss (Eberhard Karls Universitaet Tuebingen), Felix Weitkaemper (German University of Digital Science)
Pearl famously argues that causal knowledge enables the prediction of intervention effects. By contrast, purely descriptive knowledge supports only conclusions drawn from observations.
arXiv:2608. 07230v1 Announce Type: new Abstract: Probabilistic logic programming is a formalism of statistical relational artificial intelligence that supports causal queries, including interventions from outside the system.
By Zora Wurm, Kilian R\"uckschlo{\ss}, Felix Weitk\"amper
arXiv:2607. 26787v1 Announce Type: new Abstract: Markov Decision Processes (MDPs) are widely used as decision-making models, commonly specified over factored state spaces through state variables and their valuations.
By Jule Schmidt, Maximilian Weininger, Clemens Dubslaff, David Parker, Nils Jansen
arXiv:2605. 29965v2 Announce Type: replace Abstract: The development of temporal extensions of Answer Set Programming (ASP) has led to the emergence of non-monotonic linear-time (TEL), dynamic (DEL), and metric (MEL) temporal equilibrium logics.
By Susana Hahn, Amad\'e Nemes, Javier Romero, Torsten Schaub
arXiv:2607. 21203v1 Announce Type: new Abstract: Description logic programs are a powerful formalism for combining rules with ontologies.
By Spencer Killen, Jia-Huai You