The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Abstract: In this article, we introduce a novel framework that combines constraint logic programming (CLP) with deep reinforcement learning (DRL) to create adaptive environments for continual learning ...

THIS book, by two American teachers of philosophy, helps to show how far the best representatives of logic in modern universities have travelled from the Aristotelian tradition which formerly ...

SUMMARY: At the beginning of the 20th century, philosophical thought was transformed by the discovery of the "new logic", i.e. mathematical or symbolic logic. With this novum organum, philosophers ...

Abstract: The recent surge in high-performance computing (HPC) demands, particularly with the advent of Exascale supercomputers, has highlighted the need for robust parallel systems. Achieving such ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

This repository contains a maintained and modernized version of the Espresso logic minimizer, originally developed at the University of California, Berkeley. Espresso is a heuristic multi-valued PLA ...