Computer users employ a collection of software tools to support their day-to-day work. Often the software environment is dynamic with new tools being added as they become available and removed as they become obsolete or ...

In today's open, distributed environments, there is an increasing need for systems to assist the interoperation of tools and information resources. This paper describes a multi-agent system, DALEKS, that supports such ...

This paper describes an architecture for building distributed information systems from existing information resources, based on distributed object and software agent technologies. This architecture is being developed as ...

This paper proposes neuro-fuzzy engineering as a novel approach to spatial data analysis and for building decision making systems based on spatial information processing, and the development of this approach by the authors ...

Fuzzy neural networks provide for the extraction of fuzzy rules from artificial neural network architectures. In this paper we describe a general method, based on statistical analysis of the training data, for the selection ...

The increasing availability and variety of large environmental data sets is opening new opportunities for data mining and useful cross-referencing of disparate environmental data sets distributed over a network. In order ...

This paper describes the use of a prototype spatial information system to facilitate exploratory analyses of 60 years of scientific observation data concerning a breeding population of royal albatrosses at Taiaroa Head, ...

A novel connectionist architecture based on an optical thin-film multilayer model (OTFM) is described. The architecture is explored as an alternative to the widely used neuron-inspired models, with the thin-film thicknesses ...

Current tools and techniques for ontology development are based on the traditions of AI knowledge representation research. This research has led to popular formalisms such as KIF and KL-ONE style languages. However, these ...

With the increasing size, complexity and interconnectedness of systems and organisations, there is a growing need for high level modelling approaches that span the range of application domains. Causal agent modelling offers ...