04360nam 22006855 450 991104919770332120260102120601.03-032-05741-810.1007/978-3-032-05741-9(CKB)44770004300041(MiAaPQ)EBC32470697(Au-PeEL)EBL32470697(DE-He213)978-3-032-05741-9(EXLCZ)994477000430004120260102d2026 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierFirst-Order Schemata and Inductive Proof Analysis /by Alexander Leitsch, David Michael Cerna, Anela Lolic1st ed. 2026.Cham :Springer Nature Switzerland :Imprint: Birkhäuser,2026.1 online resource (427 pages)Computer Science Foundations and Applied Logic,2731-57623-032-05740-X 1. Introduction -- 2. Schemata and Point Transition Systems -- 3. Term schemata and formula schemata -- 4. Term Schemata and Unification -- 5. Proof schemata -- 6. Proof schemata and arithmetic -- 7. Cut-Elimination and the Method CERES -- 8. Schematic CERES (completely new - improves former publications) -- 9. An Application of Schematic CERES -- 10. Schematic Reasoning in GAPT -- 11. Conclusion.Schemata are formal tools for describing inductive reasoning. They opened a new area in the analysis of inductive proofs. The book introduces schemata for first-order terms, first-order formulas and first-order inference systems. Based on general first-order schemata, the cut-elimination-by-resolution (CERES) method—developed around the year 2000—is extended to schematic proofs. This extension requires the development of schematic methods for resolution and unification which are defined in this book. The added value of proof schemata compared to other inductive approaches consists in the extension of Herbrand’s theorem to inductive proofs (in the form of Herbrand systems, which can be constructed effectively). An application to an analysis of mathematical proof is given. The work also contains and extends the newest results on schematic unification and corresponding algorithms. Core topics covered: first-order schemata cut-elimination by resolution point transition systems schematic resolution Herbrand systems inductive proof analysis This volume is the first comprehensive work on first-order schemata and their applications. As such, it will be eminently suitable for researchers and PhD students in logic and computer science either working or with an interest in proof theory, inductive reasoning and automated deduction. Prerequisites are a firm knowledge of first-order logic, basic knowledge of automated deduction and a background in theoretical computer science. Alexander Leitsch and Anela Lolic are affiliated with the Institute of Logic and Computation of the Technische Universität Wien, <David M. Cerna with the Czech Academy of Sciences, Institute of Computer Science (Ústav informatiky AV ČR, v.v.i.).Computer Science Foundations and Applied Logic,2731-5762Computer scienceLogic, Symbolic and mathematicalComputational complexityReasoningSet theoryComputer Science Logic and Foundations of ProgrammingMathematical Logic and FoundationsComputational ComplexityFormal ReasoningSet TheoryComputer science.Logic, Symbolic and mathematical.Computational complexity.Reasoning.Set theory.Computer Science Logic and Foundations of Programming.Mathematical Logic and Foundations.Computational Complexity.Formal Reasoning.Set Theory.004.0151Leitsch Alexander726131Cerna David Michael1885505Lolic Anela1885506MiAaPQMiAaPQMiAaPQBOOK9911049197703321First-Order Schemata and Inductive Proof Analysis4520797UNINA