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View Resource Using Simulated RoboCup to Teach AI in Undergraduate Education

In this paper we argue that RoboCup is a useful tool for the teaching of AI in undergraduate education. We provide case studies, from two Swedish universities, of how RoboCup based AI courses can be implemented using a problem based approach. Although the courses were successful there are significant areas for improvement. Firstly, to help students cope with the complexity of the domain we...

View Resource Intelligent Virtual Environments

The research goals of the British-based lab, Intelligent Virtual Environments, of the University of Teesside are to develop "new models of interactivity based on Artificial Intelligence techniques." The website contains access to current projects, past and completed projects, technologies, as well as all publications and a tool to search those publications. Visitors can view the more than two...

View Resource An Interdisciplinary Laboratory for Teaching Artificial Intelligence and Manufacturing

Global Competition has played a major role in the awakening of US industry to the need to improve the understanding and control of their manufacturing processes. Hence, many universities in the US have in recent years developed manufacturing laboratories. One of these is the Oakland University School of Engineering and Computer Science's Artificial Intelligence and Manufacturing (AIM)...

View Resource Pyro Python Robotics

Pyro stands for Python Robotics. The goal of the project is to provide a programming environment for easily exploring advanced topics in artificial intelligence and robotics without having to worry about the low-level details of the underlying hardware. That is not to say that Pyro is just a toy. In fact, Pyro is used for real robotics research as well as courseware.This website is the 2005...

View Resource Machine Learning: Finding Patterns in the World

This overview of machine learning, by Mark Dredze of the Center for Language and Speech Processing at Johns Hopkins University, addresses the topic by asking and responding to fundamental questions such as "What does it mean to learn?" and "How to represent the world for the computer?" Also addressed here are components of machine learning such as decision trees, artificial neural networks, the...

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