About the Contributors

Ana Bazzan received her PhD in 1997 from the University of Karlsruhe, Germany, and an MSc in computer science from the Institute of Informatics at the University of Rio Grande do Sul (UFRGS) in Porto Alegre, Brazil. From 1997 to 1998, she had a postdoc research associate position in the MultiAgent Systems Laboratory at the University of Massachusetts in Amherst, under the supervision of prof. Victor Lesser. In 1999 she joined the Institute for Informatics at UFRGS as a professor and got tenure three years later. During 2006 and 2007 she had a fellowship from the Alexander von Humboldt Foundation at the University of Würzburg in Germany. She is affiliated with the research groups on Artificial Intelligence and Multi-Agent Systems at UFRGS. Her research interests include: game-theoretic paradigms for coordination of agents, multiagent learning, coordination and cooperation in MAS, agent-based simulation, RoboCup Rescue, and traffic simulation and control. Other professional activities: associate editor of the journal Advances in Complex Systems, chair of program committee for the 17th Braz. Symp. on Artificial Intelligence (2004), and co-organizer of workshop series on Agents in Traffic and Transportation.

Franziska Klügl is Universitetslektor at the Örebro University since September 2008. She is also responsible for agent-based Modelling at the Research Centre for Modelling and Simulation at the Campus Alfred Nobel in Karlskoga. She received her PhD in computer science from the University of Würzburg in 2000. From 2000 to 2008 she worked as an assistant professor at the University of Würzburg and headed there the multi-agent simulation group. She is co-organizer of the workshop series on 'Agents in Traffic and Transportation" and was involved in the organization of several scientific events like PC Chair of the European Workshop of Multi-Agent Systems in 2008. Her research interests are in the area of methodologies, applications and tools for multi-agent simulation ranging from learning and adaptive agents to visual programming for modelling multi-agent models. The main application areas of her research are all forms of traffic simulation.

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Adrian Agogino is a researcher at the University of California Affiliated Research Center at NASA Ames Research Center. His primary interests include complexity, multi-agent coordination, reinforcement learning and visualization. He has authored over thirty peer reviewed publications in these areas. His professional background also includes graphics, user interface design and hardware digital electronic design for systems such as satellite decoding, security and cryptography.

Theo Arentze received a PhD in decision support systems for urban planning from the Eindhoven University of Technology. He is now an associate professor at the Urban Planning Group at the same university. His main fields of expertise and current research interests are activity-based modeling, discrete choice modeling, knowledge discovery and learning-based systems, and decision support systems with applications in urban and transport planning.

Michael Balmer is project leader of ongoing micro-simulation projects at the transport planning group of prof. Kay W. Axhausen at the Eidgenössische Technische Hochschule Zürich (ETH Zurich). He holds a PhD in civil engineering from the ETH Zurich since Summer 2007 and an master in computer science from the ETH Zurich since spring 2003. His work is embedded in the research project MATSim (Multi-Agent Transport Simulation; www.matsim.org), while the focus lies into the system development, software engineering and performance of the MATSim toolkit. The outcome of his dissertation builds the software basis of MATSim's modular approach.

Klemens Böhm is full professor for computer science at Universität Karlsruhe (TH). Before joining Karlsruhe University in 2004, he has been a professor at Magdeburg University. Prior to that, he has been affiliated with ETH Zurich and GMD Darmstadt. His research interests are distributed information systems, e.g., peer-to-peer systems and grid infrastructures, data management in ubiquitous environments, and data warehousing. Klemens puts much effort in interdisciplinary research and application-oriented projects, currently ranging from biosystematics to traffic-data management.

Ladislau Boloni is an associate professor at the School of Electrical Engineering and Computer Science of University of Central Florida. He received a PhD degree from the Computer Sciences Department of Purdue University in May 2000. He is a senior member of IEEE, member of the ACM, AAAI and the Upsilon Pi Epsilon honorary society. His research interests include autonomous agents, grid computing and wireless networking.

Brahim Chaib-draa received the diploma in computer engineering from the Ecole Supérieure d'Electricité (SUPELEC) de Paris, Paris, France, in 1978 and the PhD degree in computer science from the Université du Hainaut-Cambrésis, Valenciennes, France, in 1990. In 1990, he joined the Computer Science and Software Engineering Department of Laval University, Quebec, QC, Canada, where he is a professor and group leader of the Decision and Actions for Multi-Agent Systems Group. His research interests include agent and multiagent technologies, natural language for interaction, formal systems for agents and multiagent systems, distributed practical reasoning, and real-time and distributed systems. He is the author of several technical publications in these areas. He is on the editorial boards of Concurrent Engineering Research and Applications (CERA), The International Journal of Grids and Multiagent Systems, and Applied intelligence. Dr. Chaib-draa is a member of the ACM, the IEEE Computer Society, and the AAAI.

David Charypar studied Computer Science at ETH Zurich from 1998 to 2003. During a semester project he got involved with travel behavior research. After his Master thesis on real time fluid simulation in the field of computer graphics he started his PhD studies in Kai Nagels Group at ETH Zurch, later changing the the Institute for Transport Planning and Systems (IVT). His work in the MATSim team includes developing the concept behind the agent's activity planning process as well as creating the current parallel event-driven traffic flow microsimulation which was recently extended by support for ignalled intersection. Currently, he is working on within-day replanning processes for the simulated agents.

Thomas L. Clarke is principal mathematician at the Institute for Simulation and Training of the University of Central Florida and is also associate professor in the Modeling and Simulation program. He has a PhD in applied mathematics from the University of Miami and worked at NOAA before coming to UCF. He has a diverse background in applying mathematics to simulation and has investigated areas such as the application of catastrophe theory and nonlinear dynamics.

Charles Desjardins has obtained in 2006 a BEng degree in software engineering from Laval University in Quebec City, QC, Canada. Afterwards, he has pursued a master's degree in computer science, again at Laval University. Apart from his interest in various software engineerings topics, his studies have focused on reinforcement learning, and on applying these algorithms to learn efficient behaviors in complex environments.

Kurt Dresner is a 6th-year PhD student in the Learning Agents Research Group at the University of Texas at Austin. He did his undergraduate work at Harvey Mudd College, in Claremont, California. Kurt was motivated to start working on autonomous intersection control when he found himself stuck at a red light at 2 a.m. after a late night in the lab. In addition to autonomous vehicles, he is interested in broader applications of multiagent systems as well as machine learning.

Francis Enomoto is a computer engineer in the Intelligent Systems division at NASA Ames Research Center. His current research encompasses air traffic management, decision support systems, and unmanned aerial vehicles. Previously, he led research projects in experimental and computational aerodynamics, computer graphics, and computer aided design. He holds a M.S. in Aeronautics and Astronautics from Stanford University and a B.S. in Mechanical Engineering from the University of Hawaii.

Edgar F. Esteves holds a BEng (Hons) in informatics engineering and is currently finishing his MSc in informatics engineering at University of Porto. He has been researching artificial intelligence techniques applied to microscopic traffic modelling for about one year, and has recently gained interest in pedestrian modelling and simulation. In both streams of research, his work has focused on the conceptualization and implementation of modelling and simulation frameworks, interactive editors, environment representation and visualisation (both 2D and 3D) tools, and algorithms for locomotion and visualization. His master's dissertation will report on his recent achievements in the field of pedestrian modelling and simulation frameworks.

Paulo A. F. Ferreira holds a BEng (Hons) and a MSc in informatics engineering from the University of Porto, Portugal, obtained in 2007 and 2008, respectively. He is currently a research assistant at the Artificial Intelligence and Computer Science Lab (LIACC), working on the application of several AI techniques to the simulation of urban traffic and transportation networks. He accumulates now more than one year of experience in the field. He has been one of the developers of the microscopic traffic simulator underlying the MAS-T²er Lab platform, under development at LIACC/FEUP. Before his current research interests he worked for a company named CentralCasa, where he developed features for a service-oriented platform responsible for the remote management and control of demotic, security and surveillance devices via web applications.

Qi Han is a post doctorate researcher of Urban Planning Group at Eindhoven University of Technology, The Netherlands. Her current research interests are in developing models and experiments for dynamic and interactive agents' behavior and choice processes in marketing, retailing, tourism, transportation and management. She has published her research in several international journals, such as Tourism Analysis, Transportation Research Record, Transportmetrica and Geojournal.

Lawrence Henesey is employed at the Department of Systems and Software Engineering, Blekinge Institute of Technology, Karlshamn, Sweden. Dr. Henesey researches the application of techniques from Artificial Intelligence in Logistics. Concurrently with his research in improving the performance of container terminals using artificial intelligence technology. In addition, Dr. Henesey divides his work 50% with TTS Port Equipment AB in Gothenburg, Sweden on automated guided vehicle systems for port projects. Dr. Henesey graduated Cum-Laude with a MSc in transport and maritime management from the University of Antwerp, Belgium in 1999 and has a BS in international political economy from Old Dominion University, Norfolk, Virginia, USA, 1992.

Davy Janssens is a member of the Transportation Research Institute (IMOB), Hasselt University. His research interests include the use of data mining procedures for personalization, customer satisfaction studies, classification based on association rules and modeling activity-travel behavior.

Peter Jarvis is a computer scientist at NASA Ames Research Center specializing in applying Artificial Intelligence Technologies to problems in Space and Aeronautics. Before joining NASA in 2004 Peter worked for SRI International applying the same technologies in the military application domain. Peter holds a PhD in computer science from the University of Brighton (UK) and held a post doctoral position at the University of Edinburgh (UK).

David J. Kaup is Provost distinguished research professor in mathematics at the University of Central Florida with a joint appointment at the Institute for Simulation and Training. He has a PhD in physics from the University of Maryland. He was a professor at Clarkson University before coming to UCF. His research interests are in the area of non-linear waves, in particular solitons, and he has been recently applying this background to the area of modeling the dynamics of crowds.

Hubert Klüpfel studied physics at the universities of Würzburg and Stony Brook, NY, and obtained his PhD in 2003 under the supervision of prof. Schreckenberg at Duisburg University. In 2001 he co-founded TraffGo GmbH as a university spin-off and is now executive director of TraffGo HT GmbH, an SME specialized in the simulation and optimization of pedestrian flows and evacuation processes.

Tobias Kretz finished his PhD thesis "Pedestrian Traffic - Simulation and Experiments" in February 2007 in the group "Physics of Transport and Traffic" of prof. Schreckenberg at Duisburg University. In July 2007 he joined PTV AG company as product manager for the simulation of pedestrian crowds in the microscopic multi-modal traffic simulation software VISSIM.

Koichi Kurumatani is multi-agent group leader at Information Technology Research Institute (ITRI), National Institute of Advanced Industrial Science and Technology (AIST) since July 2004. He was a researcher in 1989-1991, a senior researcher in 1991-1999, Emergent Global Dynamics Lab. Leader in 1999-2001 at Electrotechnical Laboratory (ETL), Multi-Agent Team Leader at Cyber Assist Research Center (CARC) in 2001-2004. He received M.S. and Ph.D. degrees from the University of Tokyo in 1986 and 1989, respectively. His research interests include ubiquitous/pervasive computing, sensor network, multi-agent, social simulation, complex networks.

Julien Laumonier received the diploma in computer engineering from the École Polytechnique de l'Université de Nantes (France) and the master degree from Lumiére University in Lyon (France) in 2002. He received a PhD in computer science from Université Laval in Quebec City, Canada in June 2008. His research interests include multiagent technology, reinforcement learning and intelligent transportation systems.

Nicolas Lefebvre studied Computer Science at ETH Zurich, with study exchanges at the Swiss Federal Institute of Technology in Lausanne and at the Univerisdad Politécnica de Madrid. After finishing his master thesis, he joined the MATSim team at IVT, ETH Zurich, to work on improving the routing algorithms used by MATSim. This lead to the implementations of the fast Landmarks-A* algorithm currently used by MATSim. Currently, he is working as head of software engineering for digitec AG in Zurich, a large provider of IT products and services in Switzerland.

Ulf Lotzmann obtained his diploma degree in computer science from the University of KoblenzLandau in 2006. Already during his studies he has participated in development of several simulation tools. Since 2005 he has specialized in agent-based systems mainly within the domain of traffic simulation and is the creator of the TRASS system. He is also involved in several other recent projects of the research group, primarily the "Emergence in the loop: simulating the two way dynamics of norm innovation (EMIL)" project, funded by the New and Emerging Science and Technology programme of the European Commission (2006-2009).

Tamás Máhr did his master's in technical engineering at the Budapest University of Technology and Economics in 2001. After that he engaged in PhD research at the department of Telecommunication and Media Informatics, where he studied distributed resource allocation in differentiated services networks. In 2004, Tamás transferred to the Delft University of Technology in The Netherlands where he researches distributed multi-agent systems applied in the logistics domain. His focus is on analyzing the ability of different multi-agent routing solutions to handle unexpected events that occur during the execution of transportation plans. He is working towards defining a robustness measure that can characterize planning methods in terms of their ability to withstand unforeseen changes.

Linda C. Malone is a professor in the Industrial Engineering Department at University of Central Florida. She got her PhD degree in statistics from Virginia Tech after having gotten her BS and MS degrees in mathematics (at Emory and Henry College and University of Tennessee respectively). Her primary research interests include Response Surface Analysis and Quality. She was an associate editor of the Journal of Statistical Computation and Simulation for over 25 years and was a founding coeditor of the STATS Magazine. She was awarded the honor of fellow of the American Statistical Association.

Konrad Meister has been working as a research associate at the Institute of Transport Planning and Systems (IVT) at ETH Zurich since 2004. His background is computer and systems science. In the PhD project related to MATSim-T, he is particularly concerned with optimization of the agents' travel choices sich as activity timing or mode choice. The efficiency of the optimization is directly relevant to the quick computation of the equilibration problem in the multi-agent simulation system.

Mark Van Middlesworth is an undergraduate at Harvard University in Boston, MA. His interest in artificial intelligence and autonomous agents began in high school, when he met Peter Stone at the University of Texas at Austin. Dr. Stone invited Mark to join his team for the Trading Agent Competition in Supply Chain Management, providing an early introduction to the world of academic research. He hopes to continue his research through college, and ultimately pursue a graduate degree in Computer Science. When not in school, he spends his time in Austin, Texas, where he enjoys rock climbing, mountain biking, and catching up on the local music scene.

After studying physics and meteorology in Cologne and Paris, Kai Nagel got his PhD in computer science at the University of Cologne about "fast microscopic traffic simulations". From 1995 to 1999 he was at Los Alamos National Laboratory as part of the "TRANSIMS" team. 1999-2004 he was assistant professor for Computer Science at ETH Zurich at the Institute for Scientific Computing. Since 2004 he is full professor for "Transport systems planning and transport telematics" at the Technical University of Berlin. His research interests include: large transportation simulations, modeling and simulation of socio-economic systems, multi-agent simulations.

Rex Oleson is a student at the University of Central Florida working on a PhD in modeling and simulation. He has a Masters in mathematics from UCF and a BS in physics and mathematics from Susquehanna University. His research interests are in the areas of agent based simulation and particularly the application in the area of modeling human crowd movement.

Denise de Oliveira received her MSc (2005) and BSc (2002), in computer science, from the Institute of Informatics at the University of Rio Grande do Sul (UFRGS) in Porto Alegre, Brazil. Since 2005 she is a PhD student, with full Scholarship, first from the Brazilian National Counsel of Technological and Scientific Development (CNPq). For two semesters (Summer 2006 and Winter 2006/2007) she was enrolled as a PhD student and assistant at the Chair of Artificial Intelligence and Applied Informatics, University of Würzburg, Germany, supported by CAPES Foundation (ProBral Program). She is affiliated with the research groups on Artificial Intelligence and Multi-Agent Systems at UFRGS. Her main research interests are: multiagent learning, urban search and rescue simulation (RoboCup Rescue), coordination and cooperation in MAS, traffic simulation and control.

Eugénio C. Oliveira is a full professor and the coordinator of LIACC (Artificial Intelligence and Computer Science Laboratory) at the University of Porto. professor Oliveira is also the director of the PhD programme on informatics engineering at the University of Porto and has been responsible for 10 past successful PhD students' theses, and other four that are currently in progress. He is a member of the editorial boards of journals such as Agents and Multi-Agents Systems International Journal, Agent Oriented Software Engineering, and Intelligent Decision Technologies. He is also a co-founder of AGENTLink European Network of Excellence. He's got his PhD in artificial intelligence from the New University of Lisbon, in 1984, and was awarded with the Gulbenkian Prize for Science and Technology in 1983. From 1984 to 1985, he was a "Guest Academic" at IBM/IEC in Brussels, and in 2008 the Area Chair for Agents in the European Conference on Artificial Intelligence.

Sascha Ossowski is the director of the Centre for Intelligent Information Technologies (CETINIA) at University Rey Juan Carlos in Madrid. Formerly, he was an HCM/TMR research fellow at the AI Department of Technical University of Madrid. He obtained his MSc degree in informatics from the University of Oldenburg (Germany) in 1993, and received a PhD in artificial intelligence from UPM in 1997. Prof. Ossowski is holding several research grants in the field of advanced software systems, funded by the European Commission and the Spanish Government. He has authored more than 100 research papers, focusing on the application of artificial intelligence techniques to real world problems such as transportation management, m-health, or e-commerce. Recently, he has been particularly active in the field of co-ordination mechanisms for agents and services, as well as models of trust and regulation in virtual organisations. He is co-editor of more than 20 books, proceedings, and special issues of international journals. He is a general chair of the ACM Annual Symposium on Applied Computing (SAC), chairs the Steering Committee of the European workshop series on Multiagent Systems (EUMAS), serves as a member of the editorial board for several international journals, and acts as programme committee member for numerous international conferences and workshops

Jan A. Persson is employed at the Department of Systems and Software Engineering, Blekinge Institute of Technology, Karlshamn, Sweden. Dr. Persson researches in optimization and simulation methods for decision support in the area of intelligent logistics and transportation systems.

Bart-Jan van Putten was an intern at NASA Ames Research Center (California, USA), where he completed a research project on agent-based modeling and simulation. Previously he had completed internships at Philips Research (NL) and OcŽ Research (NL), as well as teaching assistant duties in decision support systems, e-learning, and knowledge modeling for Utrecht University (NL). Bart-Jan holds a MSc (cum laude) in content and knowledge engineering from Utrecht University (NL) and a BSc in industrial design engineering from Eindhoven University of Technology (NL).

While studying Computer Science from 2000 to 2005 at ETH Zurich, Marcel Rieser got involved with transportation planning by taking several courses on that topic. After finishing his master thesis, he started to work within the MATSim team at the Technical University of Berlin in 2006. After a lot of system integration work, leading to the current modular design of MATSim, he works now on extending the traffic flow simulation of MATSim with public transportation features. He is also involved in the coordination of the further development of MATSim between Zurich and Berlin.

Rosaldo J. F. Rossetti holds a BEng(Hons) in civil engineering from UFC University (1995), and a MSc and a PhD in computer science from UFRGS University (1998 and 2002, respectively), Brazil. He did though most of his PhD research studies as a research student at Leeds University's Institute for Transport Studies, UK, within the Network Modelling Group (where SATURN e DRACULA tools were developed). From 2002 to 2006, Dr. Rossetti was the director of the BSc(Hons) programme in systems management and computing, at Altântica University, in Portugal. There he was also a co-founder and head of the Systems Management and Computing Lab, a R&D Unit. In 2006, Dr. Rossetti joined the University of Porto, where he is an assistant professor in the Department of Informatics Engineering. Dr. Rossetti is a research fellow at LIACC/FEUP and a member of IEEE, ACM and the Portuguese Association for AI.

Christian Rogsch studied safety engineering at Wuppertal University, Germany. Since 2005 he is PhD student at the "Institute for Building Material Technology and Fire Safety Science" of prof. Klingsch in Wuppertal. His main interests are different kinds of simulations, especially fire, smoke and evacuation.

Andreas Schadschneider is professor for theoretical physics at Cologne University. He has obtained his PhD in 1991 in the field of solid state physics. Since more than 15 years he is working on problems of non-equilibrium physics. Here his focus are transport problems with interdisciplinary applications, e.g. in traffic engineering, biology and social dynamics. He has organized several international conferences and is author is various review articles on the application of methods from physics to traffic and transport problems.

Heiko Schepperle is a researcher in computer science at the Universität Karlsruhe (TH) since 2003, working towards a PhD degree. He holds a diploma degree in computer science from the same university. His research interests are negotiation mechanisms in multi-agent systems and agent-based driver-assistance systems in traffic applications.

Armin Seyfried is research assistant at the Jülich Supercomputing Centre. Computational physics was the focus of his diploma and PhD thesis (1998). He started to work in the field of pedestrian and evacuation dynamics during five years working at an engineering consultant for fire safety. Since 2004 he leads a research group at the Forschungszentrum Jülich and the University of Wuppertal concentrating on modelling and experimental studies of pedestrian dynamics.

Kapil Sheth received the BTech degree in aeronautical engineering from IIT Kharagpur, India, and the MS and PhD in engineering sciences from UC San Diego. Kapil has been working in the Air Traffic Management arena since 1996 and is a co-founder of the Future ATM Concepts Evaluation Tool (FACET). He was a member of the team that received NASAÖs Software of the Year Award, Turning Goals Into Reality Award and RaytheonÖs Corporate Level Excellence in Technology Award. Currently, Kapil is employed as an aerospace engineer at NASA Ames Research Center in the Automation Concepts Research Branch and specializes in air traffic management and weather impact research. He serves on the Air Transportation Systems Technical Committee of the AIAA.

Maarten Sierhuis is a senior research scientist and lead of the Collaborative Assistant Systems Group at RIACS/USRA, located at NASA Ames Research Center. He is a co-principal investigator for the Brahms project, working in the Work Systems Design & Evaluation group in the collaborative and assistant systems (CAS) area within the Intelligent Sciences Division at NASA Ames Research Center. Previously, he worked at NYNEX Science & Technology, the former R&D organization for the former NYNEX Corporation (now Verizon) in White Plains, NY. He received a PhD in social science informatics, from the University of Amsterdam, The Netherlands and holds an engineering degree in Informatics, from the Polytechnic University in The Hague, The Netherlands.

Jordan Srour is a third year PhD candidate at the Rotterdam School of Management of Erasmus University. She pretty much loves anything that has to do with the vehicle routing problem – especially as applied to problems in intermodal freight transport. Prior to becoming a PhD candidate at RSM (and subsequent to receiving her MSc in transportation engineering at The University of Texas at Austin), Jordan worked as a transportation engineer at Science Applications International Corporation (SAIC) where she performed evaluations of new technologies designed to improve the efficiency, safety, and security of freight operations. Jordan's most significant work in the realm of agents is a comparative study of on-line optimization and agent-based solution techniques for a truckload pick-up and delivery problem with time windows.

Peter Stone is an Alfred P. Sloan research fellow and associate professor in the Department of Computer Sciences at the University of Texas at Austin. He received his PhD in computer science in 1998 from Carnegie Mellon University. From 1999 to 2002 he was a senior technical staff member in the Artificial Intelligence Principles Research Department at AT&T Labs - Research. Peter's research interests include machine learning, multiagent systems, robotics, and e-commerce. In 2003, he won a CAREER award from the National Science Foundation for his research on learning agents in dynamic, collaborative, and adversarial multiagent environments. In 2004, he was named an ONR Young Investigator for his research on machine learning on physical robots. Most recently, he was awarded the prestigious IJCAI 2007 Computers and Thought Award.

Takeshi Takama is working as a research fellow at Stockholm Environment Institute/Oxford office after he completed his DPhil at Transport Studies Unit / Centre for Environment (OUCE) of University of Oxford as an Oxford Kobe scholar. He researches various projects related to environment and development, climate change, human behaviours, transportation, agent-based modelling, decision making under uncertainties. He leads work on both large and small scale projects funded by the EU, SIDA, UN, etc. He recently completed an EU funded CAVES project to design and operate the validation activities of agent-based modelling. He is also a fellow of OUCE at University of Oxford and Nagoya Sangyo University in Japan. He supervises post-graduate students at University of Oxford and presents his work locally at the university and internationally at conferences and meetings.

Harry Timmermans is professor of Urban Planning at the Eindhoven University of Technology. He has research interest in modeling consumer choice behavior and the integration of such models in design and decision support systems. Application domains include transportation, housing, retailing and leisure. He has published in many international journals and services on the editorial board of journals in urban planning, transportation, tourism, retailing and management.

Sabine Timpf holds a doctorate in the technical sciences from the Technical University of Vienna, a Diplomingenieur from the University of Hannover (Germany) and Master of Science from the University of Maine (USA). Her main research interests are in geographic information science, spatial cognition, human navigation and geosimulation. After her doctorate she did research and taught at the University of Zurich in Switzerland. While in Zürich, she repeatedly visited the Cognitive Systems Research Group at the University of Bremen. From 2006 to 2007 she did research at the University of Würzburg in Germany. She now holds a position as professor of Geoinformatics at the University of Augsburg in Germany.

Kagan Tumer is an associate professor at Oregon State University. Prior to joining OSU in 2006, he was a senior research scientist at NASA Ames Research Center. Dr. Tumer's research interests are learning, control and optimization in large distributed systems with a particular emphasis on multiagent coordination. Applications of his work include coordinating multiple robots, controlling unmanned aerial vehicles, reducing traffic congestion and managing air traffic. His work has led to over one hundred publications, including a book titled "Collectives and the Design of Complex Systems", and a best paper award at the 2007 Conference on Autonomous Agents and Multiagent Systems. Dr. Tumer received his PhD from the Electrical and Computer Engineering Department at the University of Texas, Austin in 1996. He is the section editor for computer science for "Advances in Complex Systems" (Elsevier), a member of the board of editors for the "Complex Systems and Inter-Disciplinary Science'' book series (World Scientific) and was an associate editor of "Pattern Recognition Letters" (Elsevier). He holds one patent, has chaired multiple workshops/symposia, and is on the program committee of numerous international conferences (AAMAS, AAAI, ICML, IJCNN, GECCO, ICPR and ANNIE). Dr. Tumer is a member of AAAI and a senior member of IEEE.

Matteo Vasirani is a PhD student and a member of the Artifical Intelligence Research Group at the University Rey Juan Carlos in Madrid (Spain). He obtained his MSc in informatics from the University of Modena (Italy) in 2004. Between 2003 and 2004 he worked in the Agent and Pervasive Computing Research Group at the University of Modena. His research interests span from coordination and learning in multiagent systems, to intelligent transportation systems. He is author of 12 publications in journals, books and international conferences, and he participated in 4 research projects, funded by the European Commission and the Spanish Government.

Mathijs de Weerdt completed his master's in computer science at the Utrecht University in The Netherlands. After that he received his PhD on "Plan Merging in Multiagent Systems" at the Delft University of Technology. In his thesis Mathijs shows how his work relates to dial-a-ride planning problems in personal transportation. Since 2004 he has served as an assistant professor in the Algorithmics group in Delft. Mathijs obtained a VENI (personal) grant to study the interaction of efficient planning and task allocation algorithms with coordination mechanisms for self-interested agents leading to a number of publications. In his current work he combines game theory with algorithms for multiagent coordination. The results of this work are mainly applied in the transportation domain.

Since 2007, Zachary T. Welch has been working toward a PhD under the tutelage of Dr. Kagan Tumer, bringing over fifteen years of professional software engineer engineering experience to help seed the Adaptive Agents and Distributed Intelligence research group at Oregon State University. He has been active in the recent development of several new multi-agent system simulations, ranging from learning problems in rover and traffic domains to the aesthetically rewarding swarms of Boids. He spends his free time mastering mandolin, banjo, dobro, fiddle, guitar, and bass in order to bootstrap entirely new Bluegrass bands. He hopes the future brings opportunities to mix his passions for MAS and music, if only to help demonstrate solutions for similar coordination problems.

Geert Wets received a degree as commercial engineer in business informatics from the Catholic University of Leuven (Belgium) in 1991 and a PhD from Eindhoven University of Technology (The Netherlands) in 1998. Currently, he is a full professor at the faculty of Applied Economics at Hasselt University (Belgium) where he is director of the Transportation Research Institute (IMOB) and the program coordinator of the Bachelor/Master in Transportation Sciences. His current research entails transportation modeling and traffic safety modeling. He has published his research in several international journals such as Journal of the Royal Statistical Society, Accident Analysis and Prevention, Environment and Planning, Geographical Analysis, Knowledge Discovery and Data Mining, Transportation Research Record and Information Systems.

Shawn Wolfe is a computer scientist at NASA Ames Research Center and the lead of the agent-based Collaborative Traffic Flow Management simulation team. Currently he is also developing methods to identify weather-related deviations in aircraft flight track data. He has been developing software to support aviation and space research since 1992, including knowledge management, information retrieval, automated software engineering, expert systems, and data mining applications. Shawn is currently a PhD student at the University of California, Santa Cruz and holds a MS in computer science from the University of Oregon and a BS in computer science from Iowa State University.

Tomohisa Yamashita is a researcher at Multi-Agent Group, Information Technology Research Institute (ITRI), National Institute of Advanced Industrial Science and Technology (AIST) since 2005. He was Japan Society for the Promotion of Science (JSPS) Research Fellowship for Young Scientists from 2000-2003, a visiting research fellow at the Brookings Institution from 2002-2003, and a researcher at Cyber Assist Research Center (CARC) from 2003-2004. He received PhD degrees from the University of Hokkaido in 2002. His research interests include social simulation, multi-agent, ubiquitous computing, and game theory.

Rob Zuidwijk works as an associate professor at RSM Erasmus University and is interested in the use of information and information technology in supply chains, in particular in closed loop supply chains and intermodal transport. His research interests focus on the development of quantitative models that assess the value of information in aforementioned contexts. He has published in journals such as SIAM Journal Mathematical Analysis, Communications of the ACM, California Management Review, European Journal of Operational Research, and Production and Operations Management.