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The six papers included in this special issue represent a selection of extended contributions presented at the 17th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2022 held in Salamanca, Spain, September 6th-8th, 2022, and organized by the BISITE group at the University of Salamanca. The International Conference on Hybrid Artificial Intelligence Systems (HAIS 2022) has become a unique, established, and broad interdisciplinary forum for researchers and practitioners who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques to present the most relevant achievements in this field. HAIS Series of Conferences provides an interesting opportunity to present and discuss the latest theoretical advances and real-world applications in this multidisciplinary research field. [ABSTRACT FROM AUTHOR]

The articles appearing in this special issue on Recent Development on Intelligent Computing are extended versions of the papers presented at the 2020 Sixteenth International Conference on Intelligent Computing (ICIC2020) held on October 2–5, 2020, in Bari, Italy. All the papers included here have been thoroughly reviewed and revised with the support of many reviewers under the Elsevier Editorial System (EES). 19 papers representing less than five percent of all eligible papers accepted at the ICIC2020 are selected for inclusion in this special issue. The selected papers are organized into the following three sections. [ABSTRACT FROM AUTHOR]

The eight papers included in this special issue represent a selection of extended contributions presented at the 16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2021 held in Bilbao, Spain, September 22nd-24th, 2021, and organized by the BISITE group and the University of Deusto. The International Conference on Hybrid Artificial Intelligence Systems (HAIS 2021) has become a unique, established, and broad interdisciplinary forum for researchers and practitioners who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques to present the most relevant achievements in this field. HAIS Series of Conferences provides an interesting opportunity to present and discuss the latest theoretical advances and real-world applications in this multidisciplinary research field. [ABSTRACT FROM AUTHOR]

Abstract: This work aims at a reflection on the evolution of the field of Neurocomputing along the last 20 years that have witnessed the sequence of editions of the International Work-Conference on Artificial Neural Networks (IWANN). This reflection arises inextricably of the evolution of connectionist networks themselves, describing their features and most remarkable particularities, most of which have prevailed in time. Another trend that is worth mentioning is the development of a strong interconnection with other paradigms comprised under the so-called Computational Intelligence, which can be understood as a set of nature-inspired computational methodologies and approaches to address complex real-world problems, which traditional approaches are ineffective or unfeasible to deal with. Indeed, many hybrid computational intelligence schemes have been developed that efficiently combine procedures from the domains of artificial neural networks, machine learning, evolutionary computation and fuzzy logic to be applied in complex domains. Finally, a brief description of the diverse contributions that have been included in this special issue is presented. These papers stem from previous versions presented at IWANN2011. [Copyright &y& Elsevier]