In the winter, 2004 issue of AI magazine, we reported Vulcan Inc.’s first step toward creating a questionanswering system called “Digital Aristotle.” The goal of that first step was to assess the state of the art in applied knowledge representation and reasoning (KR&R) by asking AI experts to represent 70 pages from the advanced placement (AP) chemistry syllabus and to deliver knowledge-based s...

A Knowledge-Based Tutoring System (KBTS) is a computer-based instructional system that uses artificial intelligence techniques to help people learn some subjects. We found that the knowledge communication process involving a KBTS and a human student can be decomposed into a series of communication cycles, where each cycle concentrates on one topic and contains four major phases: planning, discu...

Automated and efficient energy management has many potential benefits for producers and consumers of energy, and the environment. Focusing on energy management on the consumer side, this paper considers two forms of energy management: minimizing energy usage in single households and avoiding peaks in energy consumption in a larger area. A combination of context aware and autonomic computing is ...

In ntost current applications of belief networks, domain knowledge is represented by a single belief network that applies to all problem instances in the domain. In more complex domains, problem-specific models must be constructed from a knowledge base encoding probabilistic relationships in the domain. Most work in knowledge-based model construction takes the rule as the basic unit of knowledg...

Knowledge modeling perspectives on knowledge acquisition suggest that it is reasonable to analyze knowledge bases as collections of models. This paper focuses on those parts of the knowledge base that model the practical reasoning processes of human experts, and asks what properties those models might be expected to have. It surveys the general notion of a model and its connotations in informat...

Abstract: Personal construct psychology is a theory of individual and group psychological and social processes that takes a constructivist position in modeling human knowledge but bases this on a positivist scientific position that characterizes conceptual structures in axiomatic terms. It provides a fundamental framework for both theoretical and applied studies of knowledge acquisition and rep...

A Knowledge Representation service for a knowledge-based system (or agent) can be viewed as providing, at the very least, two operations that (a) give precise information about what is and is not believed (ASg) and (b) add new facts to the knowledge base when they become available (TELL). An appropriate model of belief for such operations should support the notion that only certain facts are be...

A significant obstacle to the development of intelligent natural language processing systems is the lack of rich knowledge bases containing representations of world knowledge. For experimental systems it is common practice to construct small knowledge bases by hand; however, this approach does not scale well to large systems. An alternative is to attempt to extract the desired information from ...

in this paper we present the process of Knowledge Elicitation through a structured questionnaire technique. This is an effort to depict a problem domain as “Investigation of factors affecting taskforce productivity”. The problem has to be solved using the expert system technology. This problem is the very first step how to acquire knowledge from the domain experts. Knowledge Elicitation is one ...