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DALI for Cognitive Robotics: Principles and Prototype Implementation

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Practical Aspects of Declarative Languages (PADL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10137))

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Abstract

DALI is a logic Prolog-based Multi Agent System Language and Framework (publicly available on GitHub) developed at University of L’Aquila since 1999, and includes features aimed at user monitoring and training in Ambient Intelligent applications. In this paper, we show how such features can be integrated and extended in view of cognitive robotic applications; we then illustrate the extensions to the DALI implementation that allow DALI agents to interact with robotic platforms even through the cloud.

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Notes

  1. 1.

    Linda is a model of coordination and communication among parallel processes providing a logically global associative memory, called a “tuplespace”, in which processes store and retrieve tuples. It is available for Sicstus Prolog and it is therefore used as a communication middleware in the DALI implementation.

  2. 2.

    Docker is an open-source multi-platform tool to automate the deployment of Linux lightweight containers, see http://www.docker.com/technologies/overview.

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Authors and Affiliations

  1. DISIM, Università di L’Aquila, L’Aquila, Italy

    Stefania Costantini, Giovanni De Gasperis & Giulio Nazzicone

Authors
  1. Stefania Costantini
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  2. Giovanni De Gasperis
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  3. Giulio Nazzicone
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Corresponding author

Correspondence to Stefania Costantini .

Editor information

Editors and Affiliations

  1. University of Nebraska, Omaha, Nebraska, USA

    Yuliya Lierler

  2. Halmstad University, Halmstad, Sweden

    Walid Taha

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Costantini, S., De Gasperis, G., Nazzicone, G. (2017). DALI for Cognitive Robotics: Principles and Prototype Implementation. In: Lierler, Y., Taha, W. (eds) Practical Aspects of Declarative Languages. PADL 2017. Lecture Notes in Computer Science(), vol 10137. Springer, Cham. https://doi.org/10.1007/978-3-319-51676-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-51676-9_10

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