Readings in nonmonotonic reasoning
Journal of Automated Reasoning
Paraconsistent logic programming
Theoretical Computer Science
RI: A logic for reasoning with inconsistency
Proceedings of the Fourth Annual Symposium on Logic in computer science
Paraconsistent disjunctive deductive databases
Theoretical Computer Science
Theory of generalized annotated logic programming and its applications
Journal of Logic Programming
A theory of nonmonotonic inheritance based on annotated logic
Artificial Intelligence
A logic for reasoning with inconsistency
Journal of Automated Reasoning
Automated deduction in multiple-valued logics
Automated deduction in multiple-valued logics
Resolution-based theorem proving for many-valued logics
Journal of Symbolic Computation
A Framework for Automated Reasoning in Multiple-Valued Logics
Journal of Automated Reasoning
IEEE Transactions on Knowledge and Data Engineering
On the Semantics of Rule-Based Expert Systems with Uncertainty
ICDT '88 Proceedings of the 2nd International Conference on Database Theory
Annotated Hyperresolution for Non-horn Regular Multiple-Valued Logics
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Inference for Annotated Logics over Distributive Lattices
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
A Foundation for Hybrid Knowledge Bases
Proceedings of the 19th Conference on Foundations of Software Technology and Theoretical Computer Science
Hi-index | 0.01 |
The inference rule Ω-resolution for regular multiple-valued logics is developed. One advantage of Ω-resolution is that linear, regular proofs are possible. That is, unlike existing deduction techniques, Ω-resolution admits input deductions (for Horn sets) while maintaining regular signs. More importantly, Ω-resolution proofs are at least as short as proofs for definite clauses generated by the standard inference techniques--annotated resolution and reduction--and pruning of the search space occurs automatically.