Artificial intelligence research is ushering in a new era of sophisticated, mass-market
transportation technology. While computers can already fly a passenger jet better than a …

The increasing demand for mobility in our society poses various challenges to traffic
engineering, computer science in general, and artificial intelligence and multiagent systems …

Broadly conceived as computational models of cognition and tools for modeling complex
adaptive systems, later extended for use in adaptive robotics, and today also applied to …

In the past, the focus of the computer industry has been to improve hardware performance
and add more and more features to the software. As a result, more and more appliances …

Urban road networks are an infrastructural key factor for modern cities. To facilitate an
efficient transportation of people and goods, it is crucial to optimise the networks' …

In recent years, Autonomic and Organic Computing have become areas of active research in
the computer science community. Both initiatives aim at handling the growing complexity in …

XCS constitutes the most deeply investigated classifier system today. It offers strong
potentials and comes with inherent capabilities for mastering a variety of different learning …

Because of the law of requisite variety, designing a controller for complex systems implies
designing a complex system. In software engineering, usual top-down approaches become …

This paper introduces a multi-agent approach to adjust traffic lights based on traffic situation
in order to reduce average delay time. In the traffic model, lights of each intersection are …

I entered the world of Learning Classifier Systems (LCS) through their introduction by Will
Browne as part of a lecture series on “Advanced Artificial Intelligence” at the University of …