Analyzing and applying agent oriented programming methods for teaching purposes

In this thesis we discuss ways to improve teaching methods for agent oriented programming. The research approach consists of several steps. First data is gathered from groups of students participating in a first year agent programming project that uses the Unreal Tournament 2004 environment. The stronger and weaker groups are analyzed in a...

Learning the Model Structure of Dynamic Bayesian Networks for Automated Speech Recognition

Improving the performance of Automated Speech Recognition system requires incorporating more knowledge in the model of Automated Speech Recognition system. Information such as the context of the conversation and the characteristics of the speaker can make the task of recognizing speech more accurate. The challenge is how this knowledge can be...

Reasoning about Emotions: An affective natural language processing environment, using lexical relations to measure activation and evaluation, and extracting semantics from natural language

In the field of textual affect sensing many methods have been proposed. These methods vary from keyword spotting techniques, lexical affinity, statistical natural language processing and hand-crafted models. Based on a large scale survey, two profounding theories have been selected for investigation. The first is the proposed work of (Kamps &...

Comparing vehicle routing approaches with artificial intelligence approaches on solving instances of the logistics planning problem domain

Transportation problems are common, but complex. Therefore, it is not surprising that much effort is put into finding solving methods which generate high quality solutions in little time. Some of those solving methods are developed as planning systems and tested at the Artificial Intelligence Planning Systems (AIPS) or International Planning...

The developing of the foundation for the Monitoring and Diagnosing System

A start has been made implementing the MDS based on an Expert System with the recommended Progressive Reasoning strategy and laying the foundation for further developments. An interrupt handling is introduced that reduces the time the MDS is interrupted in its diagnosing task and therefore able to find more refined conclusions.

Een Semantisch Connectionistisch Redeneersysteem (SCORE)

Het onderzoek heeft zich gericht op de ontwikkeling van een Semantisch Connectionistisch Redeneersysteem (SCORE). SCORE kan de basis vormen voor een volwaardig expertsysteem. De, voor een expertsysteem van elementair belang zijnde, fundamentele inferentie principes, kennisacquisitie principes en kennisrepresentatievormen hebben in SCORE de...