Search Results for "deductive"

AlphaGeometry, developed by Google DeepMind, is a theorem-proving system that combines symbolic reasoning with deep learning to solve challenging geometry problems, such as those found in mathematical Olympiads. The repository provides the full implementation of DDAR (Deductive Difference and Abductive Reasoning) and AlphaGeometry, two automated geometry solvers described in the 2024 Nature paper “Solving Olympiad Geometry without Human Demonstrations.” AlphaGeometry integrates a symbolic deduction engine with a transformer-based language model to propose and validate geometric constructions in a stepwise proof process. ...

Mangle is a programming language developed by Google for deductive database programming, serving as an advanced extension of Datalog. It is designed to unify and query data from multiple sources in a structured, declarative way while allowing developers to model complex relationships and domain knowledge beyond binary predicates. Mangle enhances traditional Datalog by introducing features such as aggregation, function calls, and optional type-checking, which make it more practical for modern data-intensive applications. ...

The Datalog Educational System (DES) is a deductive database with Datalog, SQL, Relational Algebra, Tuple Relational Calculus and Domain Relational Calculus as query languages developed mainly for education. It can be used from most common Prolog interpreters over any supported OS and from portable executables (Windows, Linux and MacOS).

Logic Programming and Deductive Database system (Tabled Prolog) for Unix, Mac, and Windows.

ConceptBase.cc is a multi-user deductive and object-oriented database system for metamodeling and method engineering. Includes a graphical client that builds upon the logic-based features of the ConceptBase.cc server. The data model is O-Telos. ConceptBase.cc can represent information at the data level (example data, traces of process executions etc.), the class level (schemas, process definitions etc.), the metaclass level (constructs of modeling languages), the meta-metaclass level (constructs for defining modeling languages), and so forth. ...

The Datalog package contains a lightweight deductive database system. Queries and database updates are expressed using Datalog—a declarative logic language in which each formula is a function-free Horn clause, and every variable in the head of a clause must appear in the body of the clause. The use of Datalog syntax and an implementation based on tabling intermediate results, ensures that all queries terminate.

Yadlr is a toolset for many-valued inference, both deductive and inductive. It features a fuzzy reasoner, using CLP(Q,R) to implement fuzzy algebra on top of a resolution-based back-end. It also features Prodlr, an ILP system targeted at learning Description Logics and threaded-variable theories, like DCGs.

OO jDREW is an open source deductive reasoning engine for the RuleML web rule language. OO jDREW implements the object oriented extensions to RuleML which include: Order Sorted Types, Slots, and Object identifiers.

BDD-Based Deductive Database, an implementation of Datalog that uses Binary Decision Diagrams as the underlying data structure. This allows it to represent exponentially-sized relations efficiently.

jDREW (Java Deductive Reasoning Engine for the Web) is a highly configurable reasoning engine written in Java for definite clause reasoning. Through its diverse APIs, jDREW can be easily embedded into a larger Java system.

bddshell is a command line program for deductive database-based analysis. Its primary focus is software vulnerability detection. It acts as a front-end to a number of other programs, such as bddbddb and joeq.

Cigol (logic, spelled backwards) is a deductive logic solver. It can be embedded inside a parent program or used from the command line. It has absolutely no relationship to Tom Mitchell's book on Machine Learning.