Logic Programming and Nonmonotonic Reasoning

Forward and backward chaining in constraint programming.- Strong and weak constraints in disjunctive datalog.- Nonmonotonic reasoning with quantified boolean constraints.- Improving the alternating fixpoint: The transformation approach.- Is non-monotonic reasoning always harder.- Complexity of only knowing: The prepositional case.- Affordable classes of normal logic programs.- Automated reasoning with nonmonotonic logics.- Simulations between programs as cellular automata.- Separating disbeliefs from beliefs in autoepistemic reasoning.- Power defaults (preliminary report).- A study of Przymusinski's static semantics.- Resolution for skeptical stable semantics.- Computing non-ground representations of stable models.- Industry needs for integrated information services.- Computing, solving, proving: A report on the Theorema project.- Towards a systematic approach to representing knowledge in declarative logic programming.- A paraconsistent semantics with contradiction support detection.- On conservative enforced updates.- A general framework for revising nonmonotonic theories.- Composing general logic programs.- Modular logic programming and generalized quantifiers.- Programs with universally quantified embedded implications.- Generalized query answering in disjunctive deductive databases: Procedural and nonmonotonic aspects.- DisLoP: Towards a disjunctive logic programming system.- REVISE: Logic programming and diagnosis.- A deductive system for non-monotonic reasoning.- The deductive database system LOLA.- ACLP: Flexible solutions to complex problems.- Nonmonotonic reasoning in FLORID.- GLUE: Opening the world to theorem provers.- Smodels - an implementation of the stable model and well-founded semantics for normal logic programs.- XSB: A system for efficiently computing well-founded semantics.- An implementation platform for query-answering in default logics: The XRay system, its implementation and evaluation.

Ulrich Furbach ist Professor für Künstliche Intelligenz an der Universität Koblenz-Landau. Seine Forschungsgebiete umfassen Automatisches Schließen, Agenten und Robotik sowie Frage-Antwort-Systeme. Er ist an der TU München habilitiert, an der Uni der Bundeswehr promoviert und ist Gründer und Gesellschafter des KI-Unternehmens wizAI.