Trainable Sofware Agents

Assessing sofware quality by micro patterns detection

A Comparative Analysis of Fuzzy ART Neural Network Implementations: The Advantages of Reconfigurable Computing

This paper analyzes the performance differences found between software and hardware/sofware implementations of a reformulated Fuzzy ART neural network algorithm. This reformulated algorithm is a solution for a real time radar signal clustering problem. The software implementations run on a 50MHz TMS320C40 DSP, and the hardware/sofware implementation runs on the same DSP for its software part, w...

Evaluating a Trainable Sentence Planner for a Spoken Dialogue Travel System

This paper reports on the evaluation of a trainable sentence planner. We compare a trainable sentence planner with a currently operational hand-crafted template-based generator, two rule-based generators and two baseline generators. We show that the trainable sentence planner performs as well as the hand-crafted generator and better than the rule-based and baseline generators. Evaluating a Trai...

Trainable Information Agents for the Web

Software agents are intended to perform certain tasks on behalf of their users. In many cases, however, the agent’s competence is not sufficient to produce the desired outcome. This chapter presents an approach to cooperative problem solving in which an information agent and its user try to support each other in achieving a particular goal. As a side effect the user can extend the agent’s capab...

Mobile Intelligent Agents for Document Classi cation andRetrieval : A Machine Learning

This paper describes an implementation of intelligent, customizable mobile software agents for document classiication and retrieval. The mobile agents are implemented using the Voyager platform. The agents learn user's interests by interacting with the user. Results of experiments using three diier-ent approaches { TFIDF, Bayesian and DistAl (neural network classiier) { for the design of traina...