Semantic Networks (SN) have been used in many applications , especially in the eld of natural language understanding (NLU). The multilayered extended semantic network MESNET presented in this paper on the one hand follows the tradition of SN starting with the work of Quillian 13]. On the other hand, MESNET for the rst time consequently and explicitly makes use of a multilayered structuring of a...

IEEE INTELLIGENT SYSTEMS Except perhaps for the AI naysayers, AI practitioners are creators—of software artifacts, their underlying algorithms, and their underlying theories. We begin our feature with Herbert Simon, one of our three contributors (together with John McCarthy and Oliver Selfridge) who are our links to the landmark Dartmouth conference in 1956, where modern AI is often said to hav...

for dissemination) This document describes a recommended knowledge representation formalism that meets the requirements of LarKC. More specifically it provides an analysis of requirements stemming from the use cases in the project and surveys the landscape of existing knowledge representation languages on the Semantic Web. Furthermore it examines systems that are able to perform inference at a ...

The motor control problem is considered in the framework of knowledge representation. In the AI/Robotic world, a formal model for Motor knowledge should f i l l a gap between task planning and low level robot languages; such model should be able to "v i r tual ize" the robot and the interaction with the environment so that the planner could produce (and rely on) high level abstract actions, cha...

This paper addresses the problem of supporting the software development process through the artificial intelligence. The expert systems could advise the Domain Engineer in programming without the detailed experience in programming languages. He will use and integrate, with the help of deductive database and domain knowledge, the previously developed software components to new complex functional...

The range of domains and tasks for “knowledgebased systems” has been expanding at a furious pace. As we move away from trivial domains, such as the “blocks world”, the demands on knowledge representation systems used by expert programs are becoming more extreme. For one thing, the domains themselves are getting so complex that specialized technical vocabularies are unavoidable; consequently, th...

This paper presents a learning-based representation of knowledge which is at the basis of the family of Disciple learning agents. It introduces a representation for concepts, generalization and specialization rules, different types of generalizations and specializations, and the representation of the main elements of a knowledge base, including partially learned concepts, problems, and rules. F...

Current computing systems are just beginning to enable the computational manipulation of temporal media like video and audio. Because of the opacity of these media they must be represented in order to be manipulable according to their contents. Knowledge representation techniques have been implicitly designed for representing the physical world and its textual representations. Temporal media po...

1. INTRODUCTION Programmers represent knowledge about the world in a computer language to produce an information system (IS) that may be used to help human beings in various tasks. For example, to make the process of writing contracts in the construction industry more open, the team led by Hibberd and Basden (1995) created the INCA knowledge based system (KBS) to write contracts that more accur...