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A Simulation Platform for Testing Negotiation Strategies and Artificial Intelligence in Higher Education Courses

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International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023) (CISIS 2023, ICEUTE 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 748))

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Abstract

Teaching Artificial Intelligence in higher education develops critical thinking, problem-solving, and computational skills. Negotiation is a crucial aspect of multi-agent systems, enabling agents to achieve their goals through communication and collaboration. In this area, simulation platforms provide a flexible and safe way to experiment, leading to improvements in negotiation and decision-making in a wide range of scenarios. Board games, which include interaction and negotiation between players, provide a low-cost and low-risk way to experiment with different negotiation strategies. In this context, we present a novel simulation platform based on the rules of Catan, a popular boardgame that entails both strategic thinking and negotiation. This platform is oriented to teach negotiation in artificial intelligence and multi-agent systems. The platform allows students to develop and program intelligent agents to play autonomously, improving their technical skills and applying their understanding of Artificial Intelligence concepts.

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Acknowledgements

This work is supported by DIGITAL-2022 CLOUD-AI-02 funded by the European Comission and grant PID2021-123673OB-C31 funded by MCIN/AEI/ 10.13039/501100011033 and by ”ERDF A way of making Europe.

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Authors and Affiliations

  1. Universitat Politècnica de València, Camino de Vera, s/n, 46022, Valencia, Spain

    Adrián Heras

  2. Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Camino de Vera, s/n, 46022, Valencia, Spain

    Juan M. Alberola, Vicente Julián & Vicent Botti

  3. Instituto Tecnológico de Informática, Grupo de Sistemas de Optimización Aplicada, Ciudad Politécnica de la Innovación, Edificio 8g, Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain

    Victor Sánchez-Anguix

  4. ValgrAI (Valencian Graduate School and Research Network of Articial Intelligence), Universitat Politècnica de València, Camino de Vera, s/n, 46022, Valencia, Spain

    Vicente Julián & Vicent Botti

Authors
  1. Adrián Heras
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  2. Juan M. Alberola
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  3. Victor Sánchez-Anguix
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  4. Vicente Julián
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  5. Vicent Botti
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Corresponding author

Correspondence to Juan M. Alberola .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. School of Industrial, Computer and Aerospace Engineering, University of Leon, León, Spain

    Hilde Pérez García

  3. Department of Mechanical Engineering, University of La Rioja, Logroño, Spain

    Francisco Javier Martínez de Pisón

  4. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  5. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  6. Applied Computational Intelligence, University of Burgos, Burgos, Burgos, Spain

    Álvaro Herrero

  7. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    José Luis Calvo Rolle

  8. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    Héctor Quintián

  9. Faculty of Science, University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Heras, A., Alberola, J.M., Sánchez-Anguix, V., Julián, V., Botti, V. (2023). A Simulation Platform for Testing Negotiation Strategies and Artificial Intelligence in Higher Education Courses. In: García Bringas, P., et al. International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023). CISIS ICEUTE 2023 2023. Lecture Notes in Networks and Systems, vol 748. Springer, Cham. https://doi.org/10.1007/978-3-031-42519-6_24

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