Extending and implementing the stable model semantics
Artificial Intelligence
Knowledge Representation, Reasoning, and Declarative Problem Solving
Knowledge Representation, Reasoning, and Declarative Problem Solving
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Engineering an Incremental ASP Solver
ICLP '08 Proceedings of the 24th International Conference on Logic Programming
Modular Equivalence for Normal Logic Programs
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
LPNMR '09 Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Potassco: The Potsdam Answer Set Solving Collection
AI Communications - Answer Set Programming
Gearing up for effective ASP planning
Correct Reasoning
D-flat: Declarative problem solving using tree decompositions and answer-set programming
Theory and Practice of Logic Programming
Module theorem for the general theory of stable models
Theory and Practice of Logic Programming
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We introduce the first approach to Reactive Answer Set Programming, aiming at reasoning about real-time dynamic systems running online in changing environments. We start by laying the theoretical foundations by appeal to module theory. With this, we elaborate upon the composition of the various offline and online programs in order to pave the way for stream-driven grounding and solving. Finally, we describe the implementation of a reactive ASP solver, oclingo.