Ricardo Lopez-Ruiz

University of Zaragoza

Ricardo López-Ruiz, MS, Ph.D., works as an associate professor at the Department of Computer Science and Systems Engineering, University of Zaragoza, Spain. He also serves as a researcher in Complex Systems at the School of Mathematics, University of Zaragoza. He has worked as a lecturer at the University of Navarra, the Public University of Navarra, and at the UNED of Calatayud. He completed his postdoc with Prof. Yves Pomeau at the École Normale Supérieure of Paris, and with Prof. Gabriel Mindlin at the University of Buenos Aires. He has published over one hundred papers in journals, proceedings, and books, and has held about thirty presentations at various meetings and conferences. His areas of interest include statistical complexity and nonlinear models, chaotic maps and applications, multi-agent systems, and econophysics.

4books edited

3chapters authored

Latest work with IntechOpen by Ricardo Lopez-Ruiz

Research on multi-agent systems is enlarging our future technical capabilities as humans and as an intelligent society. During recent years many effective applications have been implemented and are part of our daily life. These applications have agent-based models and methods as an important ingredient. Markets, finance world, robotics, medical technology, social negotiation, video games, big-data science, etc. are some of the branches where the knowledge gained through multi-agent simulations is necessary and where new software engineering tools are continuously created and tested in order to reach an effective technology transfer to impact our lives. This book brings together researchers working in several fields that cover the techniques, the challenges and the applications of multi-agent systems in a wide variety of aspects related to learning algorithms for different devices such as vehicles, robots and drones, computational optimization to reach a more efficient energy distribution in power grids and the use of social networks and decision strategies applied to the smart learning and education environments in emergent countries. We hope that this book can be useful and become a guide or reference to an audience interested in the developments and applications of multi-agent systems.

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