**Meet the editor**

Jorge Rocha, a geographer, was born in Lisbon in 1970. He is an MSc degree holder in Geographic Information Systems (2003) and in Territorial Management (2013) and a PhD degree holder in Geographic Information Science (2012). Currently, he is an assistant professor of the Institute of Geography and Spatial Planning and a member of the Modelling, Urban and Regional Planning and

Environmental Hazard and Risk Assessment and Management research groups of the Centre for Geographical Studies, all from the University of Lisbon. His fields of expertise are geosimulation and geocomputation involving artificial neural networks, graphs theory, cellular automata and multi-agent systems. Jorge's works are quite diverse, focusing mainly on, but not exclusively, urban morphology, remote sensing, epidemiology, health geography, smart cities and big data (geomarketing and tourism).

Contents

**Preface VII**

**Section 1 Introductory: Multi-Agent Systems 1**

**Section 2 Traffic and Transportation Systems 15**

**Multi-Agent Systems 17**

**Section 3 Crowds and Evacuation Modelling 67**

**Section 4 Processes Control in Industrial Applications 93**

Fernandez‐Garcia

Chapter 1 **Introductory Chapter: Multi-Agent Systems 3**

Jorge Rocha, Inês Boavida-Portugal and Eduardo Gomes

Chapter 2 **Motion Coordination Problems with Collision Avoidance for**

Chapter 3 **Multiagent Systems in Automotive Applications 43**

Jesús Santiaguillo-Salinas and Eduardo Aranda-Bricaire

Raul Campos‐Rodriguez, Luis Gonzalez‐Jimenez, Francisco Cervantes‐Alvarez, Francisco Amezcua‐Garcia and Miguel

Chapter 4 **Time Critical Mass Evacuation Simulation Combining A Multi-Agent System and High-Performance Computing 69** Leonel Aguilar, Maddegedara Lalith and Muneo Hori

Chapter 5 **Robust Adaptive Cooperative Control for Formation-Tracking**

Muhammad Nasiruddin bin Mahyuddin and Ali Safaei

**Problem in a Network of Non-Affine Nonlinear Agents 95**

## Contents



Muhammad Nasiruddin bin Mahyuddin and Ali Safaei



Preface

Multi-agent systems (MAS) is an expanding field in science and engineering. It merges clas‐ sical fields like game theory (gamification) and decentralized control with modern ones like machine learning and computer science. This book provides a succinct introduction to the subject, covering the theoretical fundamentals as well as the latter developments in a coher‐ ent and clear manner. The incentive for going into MAS often arises from interest in artificial agents. Such agents can be, but not limited to, trading agents, e.g. interface agents, game-

MAS spans disciplines as diverse as biology, ecology, computer simulation, business, eco‐ nomic science, policy, social sciences, political science, military studies and many others. The technical material includes logic, probability theory, game theory, and optimization. Each of these topics can easily become an independent book, and this book does not aim to replace them. Rather, the aim has been to gather elements from several disciplines and put

As the umbrella of MAS is so broad, the decision of what to include in a book on the topic and how to organize the designated content is crucial. To begin with, this book concentrates on practical applications rather than introductory topics. Although occasionally makes refer‐ ence to the concepts involved, it will do so primarily to clarify real-world applications. The intention is to analyse each topic in detail so readers can be able to tackle some technical

The chapters in this book cover a wide spectrum of issues related to MAS applications. The book is organized in sections: the first one, with the cover designation, is the introductory chapter that explains the basic concepts underlying MAS. This is followed by application chapters which deal with specific MAS and empirical applications. The empirical chapters are organized in five sections, covering issues so diverse as Traffic and Transportation Sys‐ tems, Crowds and Evacuation Modelling, Processes Control in Industrial Applications, Data

Finally, the range of author affiliations covers a significant fraction of the organizations that are currently working in MAS, and powerfully proves the universal nature of this relatively new field of research. In the end, acknowledgements are due to the contributing authors,

**Ph.D. Jorge Rocha**

University of Lisbon

Institute of Geography and Spatial Planning

Mining and Image processing, and Emergence, Cognition and Context Awareness

because without them it would not have been possible to make this book true.

playing agents or autonomous robots in a multi-robot situation.

them together into a balanced and accurate approach to this broad field.

material and then point possible directions for further research topics.

