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    Planning and matchmaking in a multi-agent system for software integration 

    Diaz, Aurora; Cranefield, Stephen; Purvis, Martin
    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 ...
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    Planning and matchmaking for the interoperation of information processing agents 

    Cranefield, Stephen; Diaz, Aurora; Purvis, Martin
    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 ...
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    Neuro-fuzzy engineering for spatial information processing 

    Kasabov, Nikola; Purvis, Martin; Zhang, Feng; Benwell, George L
    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 ...
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    A distributed architecture for environmental information systems 

    Purvis, Martin; Cranefield, Stephen; Nowostawski, Mariusz
    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 ...
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    Wildlife population analysis with GIS: conservation management of royal albatross 

    McLennan, Bruce; Purvis, Martin; Robertson, C J R
    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, ...
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    Using genetic algorithms for an optical thin-film learning model 

    Li, Xiaodong; Purvis, Martin
    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 ...
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    UML as an ontology modelling language 

    Cranefield, Stephen; Purvis, Martin
    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 ...
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    Causal agent modelling: a unifying paradigm for systems and organisations 

    Purvis, Martin; Cranefield, Stephen
    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 ...
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    Automating information processing tasks: an agent-based architecture 

    Cranefield, Stephen; McKinlay, Bryce; Moreale, Emanuela; Purvis, Martin
    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. ...
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    Neuro-fuzzy methods for environmental modelling 

    Purvis, Martin; Kasabov, Nikola; Benwell, George L; Zhou, Qing Qing; Zhang, Feng
    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 ...
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    Cranefield, Stephen (10)Kasabov, Nikola (4)Benwell, George L (2)Diaz, Aurora (2)... View MorePublication Date1999 (3)1998 (2)1997 (3)1996 (7)1995 (2)Research TypeDiscussion Paper (17)Access LevelOpen (17)

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