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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 connectionist computational architecture based on an optical thin-film model
A novel connectionist architecture that differs from conventional architectures based on the neuroanatomy of biological organisms is described. The proposed scheme is based on the model of multilayered optical thin-films, ...
Agent modelling with Petri nets
The use of intelligent software agents is a modelling paradigm that is gaining increasing attention in the applications of distributed systems. This paper identifies essential characteristics of agents and shows how they ...
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 ...
Connectionist-based information systems: a proposed research theme
General Characteristics of the Theme
• Emerging technology with rapidly growing practical applications
• Nationally and internationally recognised leadership of the University of Otago
• Already established organisation ...
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, ...
An agent-based architecture for software tool coordination
This paper presents a practical multi-agent architecture for assisting users to coordinate the use of both special and general purpose software tools for performing tasks in a given problem domain. The architecture is open ...