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Innovations in Intelligent Machines-4 pp 103–127Cite as

A Context-Centered Architecture for Intelligent Assistant Systems

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 514))

Abstract

We propose a conceptual framework for implementing intelligent assistant systems (IASs) that (1) work on experience base instead of knowledge base, and (2) deal with the decision-making process and not the result only. Considering experts’ experience instead of domain knowledge supposes to have a uniform representation of elements of knowledge, reasoning and contexts. We propose Contextual Graphs (CxG) as such a formalism of representation. A contextual graph is an (micro-) experience base with a task realization on which IASs have to work. This opens a challenge on a new type of simulation, namely a CxG-based simulation with real-time management of context and actions. We are developing such an IAS for supporting anatomo-cyto-pathologists that analyze digital image of slides as part of breast cancer diagnosis. An example illustrates this application.

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Acknowledgments

This work is supported by grants from ANR TecSan for the MICO project (ANR-10-TECS-015), and we thank partners (IPAL, TRIBVN, UIMAP team of Service d’Anatomie Cytologie Pathologie at La Pitié, Thalès, Agfa) for the fruitful discussions.

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Authors and Affiliations

  1. LIP6, University Pierre and Marie Curie (UPMC), Paris, France

    Patrick Brézillon

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  1. Patrick Brézillon
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Correspondence to Patrick Brézillon .

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Editors and Affiliations

  1. Ecole Polytechnique Universitaire de Marseille, Aix-Marseille University (AMU), Marseille, France

    Colette Faucher

  2. Faculty of Education, Science, Technology & Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

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Brézillon, P. (2014). A Context-Centered Architecture for Intelligent Assistant Systems. In: Faucher, C., Jain, L. (eds) Innovations in Intelligent Machines-4. Studies in Computational Intelligence, vol 514. Springer, Cham. https://doi.org/10.1007/978-3-319-01866-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-01866-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01865-2

  • Online ISBN: 978-3-319-01866-9

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