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Planning and matchmaking in a multi-agent system for software integration
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 ...
Planning and matchmaking for the interoperation of information processing agents
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 ...
Neuro-fuzzy engineering for spatial information processing
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 ...
A distributed architecture for environmental information systems
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 ...
Wildlife population analysis with GIS: conservation management of royal albatross
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, ...
Using genetic algorithms for an optical thin-film learning model
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 ...
UML as an ontology modelling language
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 ...
Causal agent modelling: a unifying paradigm for systems and organisations
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 ...
Automating information processing tasks: an agent-based architecture
This paper describes an agent-based architecture designed to provide automation support for users who perform information processing tasks using a collection of distributed and disparate software tools and on-line resources. ...
Neuro-fuzzy methods for environmental modelling
This paper describes combined approaches of data preparation, neural network analysis, and fuzzy inferencing techniques (which we collectively call neuro-fuzzy engineering) to the problem of environmental modelling. The ...