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The AI Domain Definition Language (AIDDL) for Integrated Systems

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KI 2020: Advances in Artificial Intelligence (KI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12325))

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Abstract

As individual sub-fields of AI become more developed, it becomes increasingly important to study their integration into complex systems. In this paper, we provide a first look at the AI Domain Definition Language (AIDDL) as an attempt to provide a common ground for modeling problems, data, solutions, and their integration across all branches of AI in a common language. We look at three examples of how automated planning can be integrated with learning and reasoning.

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Notes

  1. 1.

    Currently Java. A Python Core is a work in progress.

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Acknowledgement

This work was funded by the project AI4EU (https://www.ai4eu.eu/) under the European Union’s Horizon 2020 research and innovation programme (grant agreement 825619). Many thanks to Alessandro Saffiotti, Federico Pecora, and Jennifer Renoux for many interesting discussions, suggestions, and support.

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Authors and Affiliations

  1. Center for Applied Autonomous Sensor Systems, Örebro University, Örebro, Sweden

    Uwe Köckemann

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  1. Uwe Köckemann
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Correspondence to Uwe Köckemann .

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Editors and Affiliations

  1. Universität Bamberg, Bamberg, Germany

    Ute Schmid

  2. Örebro University, Örebro, Sweden

    Franziska Klügl

  3. Universität Bamberg, Bamberg, Germany

    Diedrich Wolter

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Köckemann, U. (2020). The AI Domain Definition Language (AIDDL) for Integrated Systems. In: Schmid, U., Klügl, F., Wolter, D. (eds) KI 2020: Advances in Artificial Intelligence. KI 2020. Lecture Notes in Computer Science(), vol 12325. Springer, Cham. https://doi.org/10.1007/978-3-030-58285-2_33

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  • DOI: https://doi.org/10.1007/978-3-030-58285-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58284-5

  • Online ISBN: 978-3-030-58285-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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