Extended Selected Papers Of The 14th International Conference On Information Intelligence Systems And Applications


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Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems, and Applications


Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems, and Applications

Author: Nikolaos Bourbakis

language: en

Publisher: Springer Nature

Release Date: 2024-08-13


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This book includes extended versions of selected research works that were presented at the 14th International Conference on Information, Intelligence, Systems, and Applications (IISA2023), Volos, Greece, 10–12 July 2024 (https://www.easyacademia.org/iisa2023) along with additional relevant papers by invited authors. Information is widely available and accessible but frequently leads to information overload and overexposure and the effort for coding, storing, hiding, securing, transmitting, and retrieving it may be excessive. Intelligence, inspired by biological and other paradigms, is required to manage information and extract knowledge from it. Information and multimedia systems, with an increasing level of intelligence, are being developed that incorporate these advances. As a result, new technologies, protocols, and novel applications are emerging. In turn, the novel applications lead to the collection of new information, and the “Information à Intelligence à Systems à Applications” circle is repeated at ever higher levels. These works cover a broad spectrum of topics from both novelties in theory and advanced methodologies as well as novel applications in energy, agriculture, medicine, forensics, healthcare, education, tourism, inspection, traffic, and software engineering. Targeted towards academicians, researchers, practitioners, and students in computer science and artificial intelligence, this work is also accessible to individuals from other disciplines interested in the cutting-edge developments of information, intelligence, systems, and applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into the application areas of interest to them.

Advances in Artificial Intelligence-Empowered Decision Support Systems


Advances in Artificial Intelligence-Empowered Decision Support Systems

Author: George A. Tsihrintzis

language: en

Publisher: Springer Nature

Release Date: 2024-06-27


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Decision Support Systems (DSSs) are Software and Information Systems which make use of various data and business models, employ advanced data analytics procedures, and access extensive databases and data warehouses to facilitate with a decision process or with organizational issues. DSSs have proven to be particularly useful at the strategic level, while they usually require only limited computer-proficiency skills from their users. Although DSSs have been under development and use for several decades, recent advances in both Software Engineering technologies and Artificial Intelligence (AI) methodologies have heralded new avenues for research and development in this field. This book exposes its readers to some of the most significant Advances in Artificial Intelligence-Empowered Decision Support Systems. It consists of an editorial note and an additional sixteen (16) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. The chapters are organized into five parts, namely (i) AI-Empowered DSS in Medical Diagnosis and Biology, (ii) AI-Empowered DSS in Healthcare and Health Insurance, (iii) AI-Empowered DSS in Urban Matters, (iv) Various Applications of AI-Empowered DSS, and (v) Novel AI-Empowered Methodologies in Decision Making. Targeted toward academics, researchers, practitioners, and students in Computer Science, Artificial Intelligence, and Management, this book is also accessible to individuals from other disciplines interested in the cutting-edge developments of AI-empowered DSS technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into the application areas of interest to them.

Artificial Intelligence—Based Games as Novel Holistic Educational Environments to Teach 21st Century Skills


Artificial Intelligence—Based Games as Novel Holistic Educational Environments to Teach 21st Century Skills

Author: Spyros Papadimitriou

language: en

Publisher: Springer Nature

Release Date: 2025-01-20


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This book offers a visionary look at how AI can promote learning for modern skillsets by examining the fusion of AI, prosocial gaming, personalisation, ethics, and education. The book introduces the EPATHLO Suite, a novel AI platform that personalises both educational content and gameplay, creating tailor-made learning experiences and entertainment for each student. By blending personalised games with education, these AI-driven environments make learning more dynamic and enjoyable, while focusing on prosocial behaviour development, encouraging cooperation, empathy, and ethical understanding. It also provides roles for human teachers, as content creators of the EPATHLO Suite authoring tool. The book highlights the importance of twenty-first-century skills—such as critical thinking, collaboration, communication, and creativity—while also addressing ethical issues like data privacy (including GDPR compliance). It provides practical AI-driven solutions and reviews relevant literature, offering a comprehensive understanding of these interconnected fields. This book is an indispensable resource for those looking to explore these state-of-the-art topics. It is ideal for academics, researchers, students, educators, game designers, programmers, and professionals in the educational gaming industry who want to understand AI's role in shaping the future of education with games. Whether readers aim to enhance their classroom, develop new learning technologies, or better grasp the evolving technology of educational games with AI, this book offers valuable knowledge and practical tools for success.