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Designing a Knowledge Representation Interface for Cognitive Agents

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Engineering Multi-Agent Systems (EMAS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9318))

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Abstract

The design of cognitive agents involves a knowledge representation (KR) to formally represent and manipulate information relevant for that agent. In practice, agent programming frameworks are dedicated to a specific KR, limiting the use of other possible ones. In this paper we address the issue of creating a flexible choice for agent programmers regarding the technology they want to use. We propose a generic interface, that provides an easy choice of KR for cognitive agents. Our proposal is governed by a number of design principles, an analysis of functional requirements that cognitive agents pose towards a KR, and the identification of various features provided by KR technologies that the interface should capture. We provide two use-cases of the interface by describing its implementation for Prolog and OWL with rules.

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Authors and Affiliations

  1. Delft University of Technology, Delft, Netherlands

    Timea Bagosi, Joachim de Greeff, Koen V. Hindriks & Mark A. Neerincx

Authors
  1. Timea Bagosi
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  2. Joachim de Greeff
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  3. Koen V. Hindriks
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  4. Mark A. Neerincx
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Corresponding author

Correspondence to Timea Bagosi .

Editor information

Editors and Affiliations

  1. Torino, Italy

    Matteo Baldoni

  2. DEIB - Politecnico di Milano, Milano, Italy

    Luciano Baresi

  3. Dept. of Information& Computing Sciences, Utrecht, Utrecht, The Netherlands

    Mehdi Dastani

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Bagosi, T., de Greeff, J., Hindriks, K.V., Neerincx, M.A. (2015). Designing a Knowledge Representation Interface for Cognitive Agents. In: Baldoni, M., Baresi, L., Dastani, M. (eds) Engineering Multi-Agent Systems. EMAS 2015. Lecture Notes in Computer Science(), vol 9318. Springer, Cham. https://doi.org/10.1007/978-3-319-26184-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-26184-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26183-6

  • Online ISBN: 978-3-319-26184-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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