Towards Cognitive Component Analysis

Lars Kai Hansen, Peter Ahrendt, Jan Larsen

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    Abstract

    Cognitive component analysis (COCA) is here defined as the process of unsupervised grouping of data such that the ensuing group structure is well-aligned with that resulting from human cognitive activity. We have earlier demonstrated that independent components analysis is relevant for representing semantics, not only in text, but also in dynamic text (chat), images, and combinations of text and images. Here we further expand on the relevance of the ICA model for representing context, including two new analyzes of abstract data: social networks and musical features.
    Original languageEnglish
    Title of host publicationAKRR'05 -International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning : Pattern Recognition Society of Finland, Finnish Artificial Intelligence Society, Finnish Cognitive Linguistics Society
    Publication date2005
    Publication statusPublished - 2005
    EventAKRR'05 -International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning -
    Duration: 1 Jan 2005 → …

    Conference

    ConferenceAKRR'05 -International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning
    Period01/01/2005 → …

    Bibliographical note

    Best paper award AKRR'05 in the category of Cognitive Models

    Keywords

    • cognitive
    • latent semantic analysis
    • sound
    • social networks

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