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  • 1.
    Bergfeldt, Niclas
    et al.
    University of Skövde, School of Humanities and Informatics.
    Hansson, Andreas
    University of Skövde, School of Humanities and Informatics.
    Evolutionary pressure on developing simple languages2004Report (Other academic)
    Abstract [en]

    The interest for studying the origin and development of language has increased greatly in the last decades. For a language to be developed the production and understanding of it must co evolve, otherwise the users will not be able to understand each other. Here, we show that the co-evolution of language production and understanding promotes the development of an efficient language, where the efficiency is measured in terms of number of symbols needed to transmit a message and distinguish it from other possible messages. We also show how agents evolve a very simple language in order to solve the task at hand, even though the simplicity is never enforced in any way.

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  • 2.
    Hansson, Andreas
    et al.
    University of Skövde, School of Humanities and Informatics.
    Niklasson, Lars
    University of Skövde, School of Humanities and Informatics.
    Using Segmentation to Control the Retrieval of Data2006In: The 2006 IEEE International Joint Conference on Neural Network Proceedings, IEEE, 2006, p. 1764-1769Conference paper (Other academic)
    Abstract [en]

    One problem when storing sequential data using recurrent neural networks is that it is hard to preserve long term dependencies. Only the most recently stored data tend to be accurately recalled. One approach for reducing this recency effect has been to divide the data into segments and store the segments separately. This approach has provided promising results in prediction and classification domains. This paper analyzes in what way recall of the stored data is affected by segmentation. It is concluded that segmentation enables the control of which data that can be recalled. The problem of preserving long term dependencies in recurrent neural networks can therefore be reduced.

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