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iStar4RationalAgents: Modeling Requirements of Multi-agent Systems with Rational Agents

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Conceptual Modeling (ER 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11788))

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Abstract

Multi-agent systems (MAS) involve a wide variety of agents that interact with each other to achieve their goals. Usually, the agents in a MAS can be reactive or proactive, this choice defines the rationale of its elements. Rational Agents is the term used to mention a set of four kinds of reactive and proactive agents. Conceptual models which represent the rational agents’ intentionality can be used to design and analyze MAS in a systematic and structured manner. Conceptual modelling can be used to uncover mistakes and gaps in reasoning that are missed or obscured via ad hoc evaluation. However, the modelling of MAS with different rational agents is a non-trivial task, due to the specificity of their domain concepts, also at requirements level. This paper presents an approach to model MAS with rational agents in requirements level using iStar. This is part of a Model-Driven Development approach which has been proposed to support the development of MAS with rational agents involving requirements, architecture, code and test. We extended iStar to support the modelling of main concepts of this domain in a systematic way based on a process to conduct iStar extensions. We modelled a MAS to validate and illustrate the usage of our extension and evaluate the results using a survey with experienced researchers/developers in MAS.

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Notes

  1. 1.

    http://www.cin.ufpe.br/~ler/prise.

  2. 2.

    www.cin.ufpe.br/~ler/iStar4rationalagents/metamodel&rules.

  3. 3.

    www.cin.ufpe.br/~ler/iStar4rationalagents/experiment-representations.

  4. 4.

    https://www.cin.ufpe.br/~ler/piStar4rationalagents/.

  5. 5.

    www.cin.ufpe.br/~ler/iStar4rationalagents/sdmoodle.

  6. 6.

    www.cin.ufpe.br/~ler/iStar4rationalagents/srmoodle.

  7. 7.

    https://www.cin.ufpe.br/~ler/iStar4rationalagents/evaluationsurvey.

  8. 8.

    www.cin.ufpe.br/~ler/iStar4rationalagents/data.

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Acknowledgments

The authors thank CNPq, CAPES, FACEPE and NOVA LINCS UID/CEC/04516/2019.

Author information

Authors and Affiliations

  1. Universidade Federal do Ceará – Campus Quixadá, Quixadá, Brazil

    Enyo Gonçalves

  2. Universidade Federal de Pernambuco, Recife, Brazil

    Enyo Gonçalves & Jaelson Castro

  3. Universidade Nova de Lisboa, Lisbon, Portugal

    João Araujo

Authors
  1. Enyo Gonçalves
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  2. João Araujo
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  3. Jaelson Castro
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Corresponding author

Correspondence to Enyo Gonçalves .

Editor information

Editors and Affiliations

  1. Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

    Alberto H. F. Laender

  2. Politecnico di Milano, Milan, Italy

    Barbara Pernici

  3. Singapore Management University, Singapore, Singapore

    Ee-Peng Lim

  4. Univ Federal do Rio Grande do Sul, Porto Alegre, Brazil

    José Palazzo M. de Oliveira

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Gonçalves, E., Araujo, J., Castro, J. (2019). iStar4RationalAgents: Modeling Requirements of Multi-agent Systems with Rational Agents. In: Laender, A., Pernici, B., Lim, EP., de Oliveira, J. (eds) Conceptual Modeling. ER 2019. Lecture Notes in Computer Science(), vol 11788. Springer, Cham. https://doi.org/10.1007/978-3-030-33223-5_46

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  • DOI: https://doi.org/10.1007/978-3-030-33223-5_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33222-8

  • Online ISBN: 978-3-030-33223-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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