Most modern programming languages are complex and feature rich. Whilst this is (sometimes) an advantage for industrial-strength applications, it complicates both language teaching and language research. We describe our ...

Network-centric computing aims to solve the problems associated with traditional client/server systems, namely the high performance requirements, and costly maintenance of, the computing resources. With the network-centric ...

?Smart Spaces? are environments with traditional computing hardware as well as embedded computers, information appliances, and multi-modal sensors. The goal of a smart space is to sense, recognise and understand the tasks ...

Case-Based Reasoning (CBR) has emerged from research in cognitive psychology as a model of human memory and remembering. It has been embraced by researchers of AI applications as a methodology that avoids some of the ...

A major advantage in using a case-based approach to developing knowledge-based systems is that it can be applied to problems where a strong domain theory may be difficult to determine. However the development of case-based ...

In these pages we make a first attempt to compute efficiency of symbolic and numerical analysis procedures that solve systems of multivariate polynomial equations. In particular, we compare Kronecker?s solution (from the ...

Software project cost estimation is difficult because of problems of quantifying project size and because of the continual emergence of new technology. This presents as a classic example of a weak theory domain where ...

As e-commerce has become more popular, the problem of information overload has come to the fore. Recommender systems that reduce the information overload problem are becoming more common. However, the problem with many ...

The Cross-fertilisation potential of the work being undertaken by both the Adaptive Hypermedia and Context-Aware communities is considerable. In particular, the benefits to Adaptive Hypermedia constitute a method for ...