LeoPARD --- A Generic Platform for the Implementation of Higher-Order Reasoners

TL;DR

LeoPARD is a versatile platform designed for developing higher-order logic reasoners, integrating advanced data structures, multi-agent architecture, and support for various TPTP dialects to enhance reasoning capabilities.

Contribution

It introduces a comprehensive platform combining sophisticated data structures with a multi-agent architecture for higher-order logic reasoning.

Findings

Supports parallelism at multiple levels

Includes a parser for all TPTP dialects

Provides integration with external reasoners

Abstract

LeoPARD supports the implementation of knowledge representation and reasoning tools for higher-order logic(s). It combines a sophisticated data structure layer (polymorphically typed {\lambda}-calculus with nameless spine notation, explicit substitutions, and perfect term sharing) with an ambitious multi-agent blackboard architecture (supporting prover parallelism at the term, clause, and search level). Further features of LeoPARD include a parser for all TPTP dialects, a command line interpreter, and generic means for the integration of external reasoners.