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<p>The International Symposium on Methodologies for Intelligent Systems (ISMIS) is an established symposium series that started in 1986. Held twice every three years, ISMIS is a prestigious forum for exchanging the latest research results in building intelligent systems. In 2024, the twenty-seventh edition of ISMIS was held in Poitiers, France, June 17–19, 2024, to provide a scientific basis for exchanging research results and transferring scientific achievements towards industrial and socio-economic applications. In particular, the scope of ISMIS 2024 was to present a wide range of topics related to the application of Artificial Intelligence (AI) techniques related to areas such as decision support, knowledge-based systems, machine learning, robotics, planning, computer vision, databases, information retrieval, configuration, and diagnosis. The symposium also focused on interdisciplinary research in AI-related fields, for example, decision support systems, human decision-making, recommender systems and personalization, knowledge-based systems development, cognitive aspects of knowledge understanding.</p>

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Special issue on intelligent systems, ISMIS’24 selected papers

  • 期刊论文

  • 发表日期：

    2026年1月25日

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  • Annalisa Appice,
  • Hanane Azzag,
  • Mohand-Said Hacid,
  • Allel Hadjali

摘要

The International Symposium on Methodologies for Intelligent Systems (ISMIS) is an established symposium series that started in 1986. Held twice every three years, ISMIS is a prestigious forum for exchanging the latest research results in building intelligent systems. In 2024, the twenty-seventh edition of ISMIS was held in Poitiers, France, June 17–19, 2024, to provide a scientific basis for exchanging research results and transferring scientific achievements towards industrial and socio-economic applications. In particular, the scope of ISMIS 2024 was to present a wide range of topics related to the application of Artificial Intelligence (AI) techniques related to areas such as decision support, knowledge-based systems, machine learning, robotics, planning, computer vision, databases, information retrieval, configuration, and diagnosis. The symposium also focused on interdisciplinary research in AI-related fields, for example, decision support systems, human decision-making, recommender systems and personalization, knowledge-based systems development, cognitive aspects of knowledge understanding.