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  • 1.
    Berndtsson, Mikael
    et al.
    University of Skövde, Department of Computer Science.
    Lings, Brian
    University of Exeter, UK.
    On Developing Reactive Object-Oriented Databases1992In: IEEE Data Engineering Bulletin, Vol. 15, no 1-4, p. 31-34Article in journal (Refereed)
    Abstract [en]

    This paper outlines the ongoing work in Reactive Object-oriented Database Systems between the Departments of Computer Science in the University of Exeter(UK) and the University of Skovde(Sweden). The group is currently designing a monitoring system based on a reactive object oriented database with the objective of supporting efficient interaction between the active DBMS and applications (including intelligent systems). Initial work has centered on a prototype reactive object-oriented system built on top of ONTOS, a commercial OODBMS which has C++ as its base language. The prototype is referred to as ACOOD (ACtive Object Oriented Database system). We briefly discuss this prototype, showing how reactive behaviour has been incorporated into a full OODBMS albeit with some restrictions. We also outline our plans for its future extensions, and how these are motivated.

  • 2.
    Niklasson, Lars
    et al.
    University of Skövde, Department of Computer Science.
    Sharkey, Noel E.
    University of Sheffield, UK.
    Systematicity and Generalisation in Connectionist Compositional Representation1993Report (Other academic)
    Abstract [en]

    It has been argued that models, that are claimed to be models of the mind, have to exhibit a behaviour closely related to human thought. This includes dealing with the issues of compositionality, systematicity and productivity. This paper starts by describing a non-concatenative mode of combination for connectionist patterns of neural activation. We then turn to the issue of systematicity, i.e. structure sensitive processes. We explore this issue to some level of detail, e.g. the importance of choosing the `right' type of representation and how the construction of the training set could result in different types of systematicity.

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