Foundations of deductive databases and logic programming
On Fourier's algorithm for linear arithmetic constraints
Journal of Automated Reasoning
Guarded recursive datatype constructors
POPL '03 Proceedings of the 30th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Rewriting Unions of General Conjunctive Queries Using Views
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
Dependent types in practical programming
Dependent types in practical programming
LICS '05 Proceedings of the 20th Annual IEEE Symposium on Logic in Computer Science
ATC'10 Proceedings of the 7th international conference on Autonomic and trusted computing
Heyting domains for constraint abduction
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Inferring definite counterexamples through under-approximation
NFM'12 Proceedings of the 4th international conference on NASA Formal Methods
Computers & Mathematics with Applications
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Abduction is usually carried out on partially-defined predicates. In this paper we investigate abduction applied to fully-defined predicates, specifically linear arithmetic constraints over the real numbers. Abduction in this context has application to query answering using views and type inference, and potential relevance to analysis of concurrent/constraint/logic programs. We show that only rarely do abduction problems over linear arithmetic constraints have unique most general answers. We characterize the cases where most general answers exist. In general there may be infinitely many maximally general answers, or even answers that are not represented by maximally general answers. We take steps towards representing such answers finitely.