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Two Agent-Oriented Programming Approaches Checked Against a Coordination Problem

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Distributed Computing and Artificial Intelligence, 17th International Conference (DCAI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1237))

Abstract

This paper discusses two approaches to agent-oriented programming and compares them from a practical point of view. The first approach is exemplified by Jadescript, which is an agent-oriented programming language that has been recently proposed to simplify the adoption of JADE. The second approach is exemplified by Jason, which is currently one of the most popular agent-oriented programming languages. Jason can be configured to use JADE to support the distribution of agents, which ensures that the discussed comparison between the two approaches can also take into account the performance of implemented multi-agent systems. In order to devise a quantitative comparison, the two considered languages are used to solve the same coordination problem, and obtained implementations are compared to discuss advantages and drawbacks of the two approaches.

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Notes

  1. 1.

    Version 2.4 downloaded from the official site (http://jason.sourceforge.net).

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Authors and Affiliations

  1. Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Università degli Studi di Parma, 43124, Parma, Italy

    Eleonora Iotti, Giuseppe Petrosino, Stefania Monica & Federico Bergenti

Authors
  1. Eleonora Iotti
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  2. Giuseppe Petrosino
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  3. Stefania Monica
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  4. Federico Bergenti
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Corresponding author

Correspondence to Federico Bergenti .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Yucheng Dong

  2. Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain

    Enrique Herrera-Viedma

  3. Dept. of System Design, Osaka Institute of Technology, Osaka, Japan

    Kenji Matsui

  4. Hiroshima University, Osaka, Japan

    Shigeru Omatsu

  5. GRASIA Research Group, Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain

    Alfonso González Briones

  6. IoT European Digital Innovation Hub, Bioinformatics Intelligent Systems and Educational Technology Research Group, Department of Computer Science, Faculty of Science, University of Salamanca, Salamanca, Spain

    Sara Rodríguez González

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Iotti, E., Petrosino, G., Monica, S., Bergenti, F. (2021). Two Agent-Oriented Programming Approaches Checked Against a Coordination Problem. In: Dong, Y., Herrera-Viedma, E., Matsui, K., Omatsu, S., González Briones, A., Rodríguez González, S. (eds) Distributed Computing and Artificial Intelligence, 17th International Conference. DCAI 2020. Advances in Intelligent Systems and Computing, vol 1237. Springer, Cham. https://doi.org/10.1007/978-3-030-53036-5_7

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