Agents and Multi-agent Systems: Technologies and Applications 2019

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, which were originally presented at the 13th International KES Conference on Agents and Multi-Agent Systems - Technologies and Applications (KES-AMSTA 2019) held June 17-19, 2019 at St George's Bay, St. Julians, Malta.

Today's economy is driven by technologies and knowledge. Digital technologies can free, shift and multiply choices, and often intrude on the territory of other industries by providing new ways of conducting business operations and creating value for customers and companies. As such, the book covers 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.

The research presented is of value to researchers and industrial practitioners working in the fields of artificial intelligence, collective computational intelligence, innovative business models, the new digital and knowledge economy and, in particular, agent and multi-agent systems, technologies, tools and applications.

Auteur

Gordan Jezic is a Professor at the University of Zagreb, Croatia. His research interest includes telecommunication networks and services focusing particularly on parallel and distributed systems, Machine-to-Machine (M2M) and Internet of Things (IoT) systems, communication networks and protocols, mobile software agents and multi-agent systems. He actively participates in numerous international conferences as a paper author, speaker, member of organizing and program committees or reviewer. He co-authored over 100 scientific and professional papers, book chapters and articles in journals and conference proceedings. Yun-Heh Jessica Chen-Burger is an Assistant Professor, Computer Science, Heriot-Watt University. She was Research Fellow, Informatics, University of Edinburgh. Her research interests include enterprise modelling, process modelling, execution and mining technologies and how they may interact with agent technologies to solve complex real-world problems. She is committee member of several international conferences, journals and chair of conference and conference sessions. She is PI to several research and commercial projects.

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 9 courses and has supervised over 130 students at B.Sc., M.Sc. and Ph.D. studies. He participated in numerous projects local and internationals. He has co-authored over 80 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. Kuek is a member of IEEE, KES International and the European Telecommunications Standards Institute (ETSI). He serves as a program co-chair on two international conferences.

Roman perka is an Associate Professor and Head of Department of Business Economics and Management at Silesian University in Opava, School of Business Administration in Karvina, Czech Republic. He holds PhD title in Business economics and management and Dr title in Applied informatics since 2013. He has been participating as a head researcher or research team member in several projects funded by Silesian University Grant System or EU funds. His field of expertise is business process management, process mining, implementation and deployment of information systems and software frameworks; the use of agent-based technology in social sciences; modeling and simulation in economic systems and financial markets.

Dr. Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including Intelligent Systems, Sustainability, and Knowledge Transfer. He is a Visiting Professor at Bournemouth University in the UK. His technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools and systems; and automotive electronics and engine management systems. His current research work is focussed on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.

Lakhmi C. Jain, B.E.(Hons), M.E., Ph.D., Fellow (IE Australia) is with the University of Technology Sydney, Australia, University of Canberra, Australia, Liverpool Hope University, United Kingdom and KES International, United Kingdom. Professor Jain co-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 worldwide, 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.

Contenu

Enforcing Social Semantic in FIPA-ACL using SPIN.- An Agent-oriented Group Decision Architecture.- Context-Aware Service Orchestration in Smart Environments.- A Proposal of Evacuation Support System with Redundancy by Using Multiple Mobile Agents.- From Thing to Smart Thing: Towards An Architecture for Agent-Based AmI Systems.- Automatic Clustering of User Communities A System Architecture.- An Optimization Approach for Consensus in Multi-Agent Systems.- A Multi-agent Model for Cell Population.- Improving Water Allocation using Multi-Agent Negotiation Mechanisms.- A Multi-Agent System with Self-Optimization for Automated Clustering (MASAC).- Web Literature, Authorship Attribution and Editorial workow Ontologies.- Multiagent complex system for identifying characteristics and personality types and their relationship in the student motivation process.- Towards a social simulator based on agents for management of the knowledge base for the strengthening of learning competences.- Use of Intelligent Agent through Low-Cost Brain-Computer-Interface to Analize Attention and Meditation Levels by Gender.- System development for automatic control using BCI.- Medical diagnostic through a mobile application controlled by brain waves: ConsultApp.- A Hierarchical Agent Decision Support Model and Its Clinical Application.- Comparative Study of Bio-Inspired Algorithms Applied to Illumination Optimization in an Ambient Intelligent Environments.- Towards a model of management processes to support or increase the competitiveness of a university professor.- An Agent-based Infectious Disease Model of Rubella outbreaks.- Analysis of the Eect of Financial Regulation on Market Collapse Process in Financial Network.- Causal Analysis of the Eect on Performance of Start-ups from External Supporting Activities.- Analysis of workstyle and self-learning to raise human capital.- Study on Popularization of QR code settlement in Japan.- Modeling a Multi-Agent Self-Organizing Architecture in MATSim.- Coupling multi-agent and macroscopic simulatorsof traffic.- A Multi-Agent System for Real-time Ride-sharing in Congested Networks.- Dynamically congurable Multi-Agent Simulation for Crisis Management.- Messaged Multi-agent System as a…