Classifying and organizing documents in repositories is an active research topic in digital
library studies. Manually classifying the large volume of patents and patent applications …

In this paper we describe EMADS, an Extendible Multi-Agent Data mining System. The
EMADS vision is that of a community of data mining agents, contributed by many individuals …

This paper describes an approach to multi-agent classification using an argumentation from
experience paradigm whereby individual agents argue for a given example to be classified …

An approach to classification using a multi-agent system founded on an Argumentation from
Experience paradigm is proposed. The technique is based on the idea that classification can …

Hierarchical Multi-agent Systems provide convenient and relevant ways to analyze, model,
and simulate complex systems composed of a large number of entities that interact at …

Automatic text classification is an important operational problem in digital library practice.
Most text classification efforts so far concentrated on develo** centralized solutions …

Multi-agent systems (MAS) often deal with complex applications that require
distributedproblem solving. In many applications the individual and collective behaviourof …

The increasing number of options of digital board games is exciting not only from an
entertainment perspective but also from an academic prospect. It enables, for example, the …

In a pursuit-evasion game, the mobile robot pursuer's ability to navigate from its initial
position to the evader while maintaining a safe distance from other objects requires a good …

Text classification is one of the important areas in data mining. Most of the Current text
classification techniques concentrated on centralized/hierarchical approach. Due to the …