{"product_id":"andrei-voronkov-logic-for-programming-artificial-intelligence-and-reasoning-9783540482819","title":"Logic for Programming, Artificial Intelligence, and Reasoning","description":"Higher-Order Termination: From Kruskal to Computability.- Deciding Satisfiability of Positive Second Order Joinability Formulae.- SAT Solving for Argument Filterings.- Inductive Decidability Using Implicit Induction.- Matching Modulo Superdevelopments Application to Second-Order Matching.- Derivational Complexity of Knuth-Bendix Orders Revisited.- A Characterization of Alternating Log Time by First Order Functional Programs.- Combining Typing and Size Constraints for Checking the Termination of Higher-Order Conditional Rewrite Systems.- On a Local-Step Cut-Elimination Procedure for the Intuitionistic Sequent Calculus.- Modular Cut-Elimination: Finding Proofs or Counterexamples.- An Executable Formalization of the HOL\/Nuprl Connection in the Metalogical Framework Twelf.- A Semantic Completeness Proof for TaMeD.- Saturation Up to Redundancy for Tableau and Sequent Calculi.- Branching-Time Temporal Logic Extended with Qualitative Presburger Constraints.- Combining Supervaluation and Degree Based Reasoning Under Vagueness.- A Comparison of Reasoning Techniques for Querying Large Description Logic ABoxes.- A Local System for Intuitionistic Logic.- CIC : Type-Based Termination of Recursive Definitions in the Calculus of Inductive Constructions.- Reducing Nondeterminism in the Calculus of Structures.- A Relaxed Approach to Integrity and Inconsistency in Databases.- On Locally Checkable Properties.- Deciding Key Cycles for Security Protocols.- Automating Verification of Loops by Parallelization.- On Computing Fixpoints in Well-Structured Regular Model Checking, with Applications to Lossy Channel Systems.- Verification Condition Generation Via Theorem Proving.- An Incremental Approach to Abstraction-Carrying Code.- Context-Sensitive Multivariant Assertion Checking in ModularPrograms.- Representation of Partial Knowledge and Query Answering in Locally Complete Databases.- Sequential, Parallel, and Quantified Updates of First-Order Structures.- Representing Defaults and Negative Information Without Negation-as-Failure.- Constructing Camin-Sokal Phylogenies Via Answer Set Programming.- Automata for Positive Core XPath Queries on Compressed Documents.- Boolean Rings for Intersection-Based Satisfiability.- Theory Instantiation.- Splitting on Demand in SAT Modulo Theories.- Delayed Theory Combination vs. Nelson-Oppen for Satisfiability Modulo Theories: A Comparative Analysis.- Automatic Combinability of Rewriting-Based Satisfiability Procedures.- To Ackermann-ize or Not to Ackermann-ize? On Efficiently Handling Uninterpreted Function Symbols in .- Lemma Learning in the Model Evolution Calculus.","brand":"Springer","offers":[{"title":"Default Title","offer_id":54716276670806,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9783540482819_1.jpg?v=1791115362","url":"https:\/\/www.momoxbooks.com\/products\/andrei-voronkov-logic-for-programming-artificial-intelligence-and-reasoning-9783540482819","provider":"momox","version":"1.0","type":"link"}