Agents and Multi-agent Systems: Technologies and Applications 2025

Proceedings of 19th KES International Conference, KES-AMSTA 2025, June 2025
Erscheinungsjahr 2026
ISBN: 978-3-032-11455-6
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 485 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Smart Innovation, Systems and Technologies

This book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation and anthropic-oriented computing that were originally presented at the 19th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2025), held in Solin, Croatia, on June 25–27, 2025. The respective papers cover topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer-embedded systems and nature-inspired manufacturing, all of which contribute to the modern digital economy.

Zielgruppe

Research

Autoren/Hrsg.

Jezic, Gordan

Chen-Burger, Jessica

Kusek, Mario

Sperka, Roman

Howlett, Robert J.

Jain, Lakhmi C.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

Privacy-Preserving Trust and Reputation Management with GNNs and DOL3 in Multi-Agent Systems.- Forgetting in Agent Belief Bases with Probabilistic Constraints.- Motivation for the Implementation of Cybersecurity Measures in Small and Medium-Sized Enterprises in Southwest-Germany.- Empowering Adversarial Video Games with Teamwork.- An Improved Adaptive Genetic Algorithm for the loop machine layout problem with shortcuts.- Optimizing Peer-to-Peer Ride-Sharing with Multi-Agent Systems for Sustainable Mobility.- Building Personas and LLM Assessment Indicators: For Frailty Prevention.- Evaluation Methods for Disaster Response Training Based on Course Questionnaire Analysis.- Quantitative Persona Generation through Large Language Model and Hierarchical Classification for Simulation Results.- Improving LPG Supply Network Recovery through Data-Driven BCP: Quantitative Evaluation of Regional Characteristics in the Philippines.- A Framework for Sustainable Energy Utilization: Integrating Household Fuel Cells, the J-Credit Scheme, and Community-Based Collaboration.- Server Management and Monitoring System.- Structural Analysis of digital divide and innovation diffusion in Older Adult Market.- A Case Study of the HAC-SECI model Applied to Programming Beginners.- A Multi-Agent-based infrastructure for coupling physical and digital robotic environments.- Integration of Process Mining and Large Language Models – Literature review.- It is hard to be human: Intuition and Creativity at the time of Artificial Intelligence.- Constructive Alignment and Learning Outcomes in Educational Recommender Systems: A Systematic Review.- Artificial intelligence for enhancing the quality of higher education in both online or offline: A systematic Literature Review.- An Overview of Multilayer Network Architectures in Software Engineering.- Ahadith AI: Applying Generative AI and Semantic Search to Enhance Hadith search Retrieval and listings.- Innopolis University's response to the COVID-19 pandemic.- Software Metrics Selection: Exploring Sequential Forward Selection and REINFORCE.- Project-based learning in cross-functional teams of undergraduate and graduate students.- Shifting the Focus: Teaching Critical Thinking in an AI-Powered World -  Course ''Introduction to Optimization" as a Platform for Critical Thinking.- Reframing the Narrative: AI as an Ally in Education, Not Just a Challenge.- Leveraging AI for e-Learning Platforms.- Leveraging Generative AI Platforms for Collaborative Development and Knowledge Management: A Case Study on ChatGPT and GitHub Copilot.- Integrating chatGPT into XP practices: a challenge for students of agile development.- Software engineering metrics selection using equilibrium optimizer and differential evolution.- Cognitive Complexity Metrics in the SDLC phases.- Analysis of Disability in Mexico: Data from the 2020 INEGI Population and Housing Census.- Fitness Trackers in Healthcare: A Hidden Risk or Underestimated Ally?.- Detection of Coral Bleaching in Akumal Bay  Using an Adjusted Stress Heat Index and  Satellite Images.- Interactive system for children with ASD including emotion analysis.

Über Autor(innen)

Dr. Gordan Jezic is a Professor at the University of Zagreb, Croatia. He received a B.Sc., M.Sc. and Ph.D. at the Department of Telecommunications of the Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His research interest includes telecommunication networks and services focusing particularly on parallel and distributed systems, M2M and IoT systems, AI, edge computing, communication networks and protocols, mobile software agents and multi-agent systems. During his professional career, he participated as a project leader or an investigator on many EU and domestic scientific projects. He co-authored over 100 scientific and professional papers, book chapters and articles in journals and conference proceedings. He is a senior member of IEEE Communication Society, KES International, member of technical committee of IEEE SMC on Computational Collective Intelligence, and leader of the technical committee of the KES Focus Group on Agent and Multi-agent Systems.  Dr. Yun-Heh Jessica Chen-Burger has over 20 years of modelling experiences in areas such as business and enterprise modelling, ontology creation and to provide automated intelligent support for them. Jessica and her RA and PhD students worked on several topics in the fields of business, enterprise and process modelling, intelligence and reasoning systems, swarm-based intelligent supply chain automation and optimisation problems. Knowledge models are formalised to provide solid foundations to allow semantics-based inference, verification, validation, reasoning and the automatic construction of virtual workflow machines on the fly for execution. Jessica has over 60 publications in relevant scientific journals, conferences and books in these topics. Recently, she incorporated these techniques with theoretical economical models and financial information to create an innovative approach in predicting stock market price trends with great precision. Dr. Mario Kusek is Professor at the University of Zagreb, Croatia. He holds Ph.D. (2005) in electrical engineering, from the University of Zagreb. He is currently a lecturer of 10 courses and has supervised over 200 students at B.Sc., M.Sc. and Ph.D. studies. He participated in numerous projects local and international. He has co-authored over 110 papers in journals, conferences and books in the area of distributed systems, multi-agent systems, self-organized systems and machine-to-machine (M2M) Communications. Prof. Kušek is a member of IEEE and KES International. Dr. Roman Šperka is an Associate Professor and Head of the Department of Business Economics and Management at the Silesian University in Opava, School of Business Administration in Karviná, Czechia. He has held a PhD in Business Economics and Management and a Doctorate in Applied Informatics since 2013. He has been participating as a head researcher or research team member in several projects funded by the Technology Agency of the Czech Republic or COST EU. He is the author or co-author of two books and more than 100 papers published in scientific journals and conference proceedings. His research focuses on business process and data management, process mining, the implementation and deployment of information systems and software frameworks, the application of agent-based technologies in the social sciences, as well as modeling and simulation in socio-economic systems. Prof. Robert J. Howlett is the Academic Chair of KES International, a non-profit organisation which facilitates knowledge transfer and the dissemination of research results in areas including Intelligent Systems, Sustainability, and Knowledge Transfer.  He is Visiting Professor in Sustainable Innovation at Cardiff Metropolitan University, Wales, UK, Visiting Professor at 'Aurel Vlaicu' University of Arad, Romania, and has also been Visiting Professor for Enterprise at Bournemouth University, UK.  His technical expertise is in the use of artificial intelligence and machine learning for the solution of industrial problems.  His current interests centre on the application of intelligent systems to sustainability, particularly renewable energy, with applications in housing and sustainable agriculture.  He previously developed a national profile in knowledge and technology transfer, and the commercialisation of research.  He works with a number of universities and international research groups on the supervision teams of PhD students, and the provision of technical support for projects.  Professor Lakhmi C. Jain , PhD, Dr H.C., ME, BE(Hons), Fellow (Engineers Australia), is with the University of Piraeus, Athens and the University of Arad, Arad. He was formerly with the University of Technology Sydney, Liverpool Hope University, the University of Canberra and Bournemouth University. Professor Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies world-wide, KES facilitates international cooperation and generate synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES.