In this paper we describe PADUA, a protocol designed to enable agents to debate an issue drawing arguments not from a knowledge base of facts, rules and priorities but directly from a dataset of records of instances in the domain. This is particularly suited to applications which have large, possibly noisy, datasets, for which knowledge engineering would be difficult. Direct use of data require...

E-learning is a complementary channel for learners to acquire relevant knowledge. On the basis of an example e-learning environment (STUDYBATTLES) we show how configuration-related knowledge can be transferred to end-users (e.g., sales representatives) as well as to knowledge engineers. In addition, we discuss an approach to automatically generate product domain as well as engineering learning ...

Medical training has been lately the subject of intense scrutiny. The knowledge transfer approach has shifted focus on the trainee as an active participant in the education process. The traditional view that learning stems from the transmission of knowledge, has recently been challenged. Although controversial, some suggest that a student can maximize this learning process when educators tailor...

This paper discusses the applications of Fuzzy Boolean Programming (FBP) problems for representing and reasoning with Propositional Knowledge. The use of the models provided by the FBP are proposed to answer imprecise questions in precisely stated KBS. Also, the advantages of using Fuzzy Boolean Programming instead of classical ones are presented in the framework of Propositional Knowledge.

This article makes an example of Beijing Future Advertising Corporation and explains its multi-dimension spiral model, which includes knowledge spiral, opportunity spiral and value spiral. The three spirals connect and promote mutually and push the development of the corporations' core competency. Based on the theoretical thinking of Beijing Future Advertising Corporation, the article illustrat...

Knowledge-based view (KBV) theory posits that the acquisition and use of relevant knowledge is key to understanding organizational performance. However, there is relatively little empirical evidence to support or refute several important propositions underlying KBV theory explanations of organizational performance. In particular, the extant literature has focused on individual technical and sci...

In 1991, the DARPA Knowledge Sharing Effort ([88], p. 37) envisioned a new way to build intelligent systems. It proposed the following: Building knowledge-based systems today usually entails constructing new knowledge bases from scratch. It could be instead done by assembling reusable components. System developers would then only need to worry about creating the specialized knowledge and reason...

The purpose of this study was to explore the effect of applying task-based activities on students’ listening comprehension improvement. It also aimed at providing evidence to show how shifting from a traditional language teaching approach into the TBLT approach can positively affect the process of learning listening skill. To do this, 80 participants were selected from three English language in...

An increasingly relevant theme for knowledge-based systems is how to model and use a large and complex knowledge domain. On the one hand, this involves developing new ideas on a modular construction of a knowledge base and, on the other hand, an appropriate architecture of a knowledge-based system that takes account of such a modular knowledge base. In the HYPERCON project we conceptualize a co...

The problem of comparing and matching different learners’ knowledge arises when assessment systems use a one-dimensional numerical value to represent “knowledge level”. Such assessment systems may measure inconsistently because they estimate this level differently and inadequately. The multi-dimensional competency model called COMpetence-Based learner knowledge for personalized Assessment (COMB...