Daniel Livingstone

In 2005 the Centre for Professional Learning and Development at the Open University (OU) established a pioneering collaboration with Reuters (which in 2008 became Thomson...

Alongside the growth of interest in Games-Based Learning, there has been a notable explosion of interest in the use of 3D graphical multi-user virtual environments (MUVE) for...

In 2005 the Centre for Professional Learning and Development at the Open University (OU) established a pioneering collaboration with Reuters (which in 2008 became Thomson...

It is well documented that virtual worlds today are applied in both educational and commercial teaching and learning contexts. Where virtual worlds were once the reserve of...

Alongside the growth of interest in Games-Based Learning, there has been a notable explosion of interest in the use of 3D graphical multi-user virtual environments (MUVE) for...

Computer games are often played by a human player against an artificial intelligence software entity. In order to truly respond in a human-like manner, the artificial...

This chapter provides a brief outline of the history of video game AI – and hence by extension an extremely brief outline of some of the key points in the history of video games...

The design of the first computers were influenced by the power of the human brain and attempts to create artificial intelligence, yet modern day digital computers are very...

In this chapter we will look at supervised learning in more detail, beginning with one of the simplest (and earliest) supervised neural learning algorithms – the Delta Rule. The...

In this short chapter we present a case study of the use of ANN in a video game type situation. The example is one of duelling robots, a problem which, as we will see, lends...

With the artificial neural networks which we have met so far, we must have a training set on which we already have the answers to the questions which we are going to pose to the...

We noted in the previous chapters that, while the multilayer perceptron is capable of approximating any continuous function, it can suffer from excessively long training times....

The methods in this chapter were developed in response to the need for general purpose methods for solving complex optimisation problems. A classical problem addressed is the...

The last two chapters introduced the standard GA, presented an example case study and explored some of the potential pitfalls in using evolutionary methods. This chapter focuses...

Multi-Objective Problems, MOP, are a class of problems for which different, competing, objectives are to be satisfied and for which there is generally no single best solution –...

We now consider the problem of introducing more intelligence into the artificial intelligence’s responses in real-time strategy games (RTS). We discuss how the paradigm of...

Ants are truly amazing creatures. Most species of ant are virtually blind; some of which have no vision at all, yet despite this, they are able to explore and find their way...

Just as there are many different types of supervised and unsupervised learning, so there are many different types of reinforcement learning. Reinforcement learning is appropriate...

This book centres on biologically inspired machine learning algorithms for use in computer and video game technology. One of the important reasons for employing learning in...

It is very evident that current progress in developing realistic and believable game AI lags behind that in developing realistic graphical and physical models. For example, in...