Implementing semantic tableaux

This report describes implementions of the tableau calculus for first-order logic. First an extremely simple implementation, called leanTAP, is presented, which nonetheless covers the full functionality of the calculus and is also competitive with respect to performance. A second approach uses compilation techniques for proof search. Improvements inculding universal variables and lemmata are considered as well as more efficient data structures using reduced ordered binary decision diagrams. The implementation language is PROLOG. In all cases fully operational PROLOG code is given. For leanTAP a formal proof of the correctness of the implementation is given relying on the operational semantics of PROLOG as given by the SLD-tree model. This report will appear as a chapter in the Handbook of Tableau-based Methods in Automated Deduction edited by: D. Gabbay, M. D\u27Agostino, R. H\"{a}hnle, and J.Posegga published by: KLUWER ACADEMIC PUBLISHERS Electronic availability will be discontinued after final acceptance for publication is obtained

JavaSplitter. A Java Implementation of Variable Splitting Proof Search

This thesis describes the design and implementation of JavaSplitter, a prototype incremental proof search engine based on a variable splitting sequent calculus. The prover also includes modes for variable pure derivations, and for variable sharing derivations without splitting. The splitting calculus uses an index system to achieve variable sharing derivations, and to keep track of how variables are split into different branches of a derivation. A graph representation of the indices occurring in a skeleton and operations on this graph are used to determine when splitting of such variables is sound. The design and implementation of the data structures and operations necessary for the proof search procedures are described. Further, the three modes of proof search are compared with regard to number of steps used to reach a proof for a set of valid input sequents

Hammering towards QED

This paper surveys the emerging methods to automate reasoning over large libraries developed with formal proof assistants. We call these methods hammers. They give the authors of formal proofs a strong “one-stroke” tool for discharging difficult lemmas without the need for careful and detailed manual programming of proof search. The main ingredients underlying this approach are efficient automatic theorem provers that can cope with hundreds of axioms, suitable translations of the proof assistant’s logic to the logic of the automatic provers, heuristic and learning methods that select relevant facts from large libraries, and methods that reconstruct the automatically found proofs inside the proof assistants. We outline the history of these methods, explain the main issues and techniques, and show their strength on several large benchmarks. We also discuss the relation of this technology to the QED Manifesto and consider its implications for QED-like efforts.Blanchette’s Sledgehammer research was supported by the Deutsche Forschungs- gemeinschaft projects Quis Custodiet (grants NI 491/11-1 and NI 491/11-2) and Hardening the Hammer (grant NI 491/14-1). Kaliszyk is supported by the Austrian Science Fund (FWF) grant P26201. Sledgehammer was originally supported by the UK’s Engineering and Physical Sciences Research Council (grant GR/S57198/01). Urban’s work was supported by the Marie-Curie Outgoing International Fellowship project AUTOKNOMATH (grant MOIF-CT-2005-21875) and by the Netherlands Organisation for Scientific Research (NWO) project Knowledge-based Automated Reasoning (grant 612.001.208).This is the final published version. It first appeared at http://jfr.unibo.it/article/view/4593/5730?acceptCookies=1

Automated Proof-searching for Strong Kleene Logic and its Binary Extensions via Correspondence Analysis

Using the method of correspondence analysis, Tamminga obtains sound and complete natural deduction systems for all the unary and binary truth-functional extensions of Kleene’s strong three-valued logic K3 . In this paper, we extend Tamminga’s result by presenting an original finite, sound and complete proof-searching technique for all the truth-functional binary extensions of K3

Fuzzy Description Logics with General Concept Inclusions

Description logics (DLs) are used to represent knowledge of an application domain and provide standard reasoning services to infer consequences of this knowledge. However, classical DLs are not suited to represent vagueness in the description of the knowledge. We consider a combination of DLs and Fuzzy Logics to address this task. In particular, we consider the t-norm-based semantics for fuzzy DLs introduced by Hájek in 2005. Since then, many tableau algorithms have been developed for reasoning in fuzzy DLs. Another popular approach is to reduce fuzzy ontologies to classical ones and use existing highly optimized classical reasoners to deal with them. However, a systematic study of the computational complexity of the different reasoning problems is so far missing from the literature on fuzzy DLs. Recently, some of the developed tableau algorithms have been shown to be incorrect in the presence of general concept inclusion axioms (GCIs). In some fuzzy DLs, reasoning with GCIs has even turned out to be undecidable. This work provides a rigorous analysis of the boundary between decidable and undecidable reasoning problems in t-norm-based fuzzy DLs, in particular for GCIs. Existing undecidability proofs are extended to cover large classes of fuzzy DLs, and decidability is shown for most of the remaining logics considered here. Additionally, the computational complexity of reasoning in fuzzy DLs with semantics based on finite lattices is analyzed. For most decidability results, tight complexity bounds can be derived

The Tableau-based Theorem Prover 3TAP - Version 4.0

This paper gives an overview of the system with a special focus on the new features of 3 T A P Version 4.0, including: efficient completion-based equality reasoning, methods for handling redundant axiom sets, utilization of pragmatic information contained in axioms to rearrange the search space, and a graphical user interface for controlling 3 T A P and visualizing its output