"Multi Agent Systems: Strategies and Applications" ed. by Ricardo Lopez-Ruiz

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. This book can be useful and become a guide or reference to an audience interested in the developments and applications of multi-agent systems.

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.

Contents
1.Cooperative Adaptive Learning Control for a Group of Nonholonomic UGVs by Output Feedback
2.Multiagent Systems for 3D Reconstruction Applications
3.A Q-Learning-Based Approach for Simple and Multi-Agent Systems
4.Multi-Agent Systems, Simulation and Nanotechnology
5.Applications of Multi-Agent System in Power System Engineering
6.Architecture of a Microgrid and Optimal Energy Management System
7.Multi-Agent Systems Based Advanced Energy Management of Smart Micro-grid
8.Smart Learning Environment: Paradigm Shift for Online Learning
9.ICT: Vehicle for Educational Development and Social Transformation