In keeping with its tradition, MATES 2014 also will offer invited keynotes on relevant topics of the broad area of intelligent agent and multiagent systems technologies.
We are proud to announce that, in 2014, three highly renowned scientists have accepted our invitation to be keynote speakers:
Prof. Dr. Ulle Endriss
University of Amsterdam
Tuesday, September 23, 2014, 2:00 p.m.
Title: Social Choice Theory as a Foundation for Multiagent Systems
Social choice theory is the study of mechanisms for collective decision making. While originating in economics and political science, it recently has become a hot topic also in computer science. In this talk I will give an introduction to social choice theory and argue for its central importance to multiagent systems. To do so, I will draw on examples from three areas: the fair allocation of resources, voting, and the aggregation of expert judgments.
About the Speaker:
Ulle Endriss is Associate Professor of Logic and Artificial Intelligence at the at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam and the director of the ILLC’s interdisciplinary Master of Logic programme. He studied Computer Science in Karlsruhe, London, and Berlin and holds a PhD in Logic and Computation from King’s College London. His research interests lie at the interface of logic, artificial intelligence, and mathematical economics. He is an elected member of the Board of Directors of the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), an associate editor of both the Artificial Intelligence Journal (AIJ) and the Journal of Autonomous Agents and Multiagent Systems (JAAMAS), and a member of the editorial board of the Journal of Artificial Intelligence Research (JAIR). Since 2012 he has been chairing COST Action IC1205 on Computational Social Choice, a research network of 31 European and several other partner countries. See also http://www.illc.uva.nl/~ulle/.
Prof. Dr.-Ing. Dr. h. c. Peter Göhner
Wednesday, September 24, 2014, 1:30 p.m.
Title: Multi-Agent Systems in Industrial Automation
Software development for modern automation systems is a constant challenge for engineers. It often takes place in a tension field of different requirements. These include the increasing decentralisation and complex processes in automation systems as well as the necessity of more flexibility, robustness, scalability, customizability and ease of integration of automation software.
To manage these requirements the automation software has to be flexible and scalable to changes in the automation system or its environment without great effort. However, it is often difficult to control the complex processes and behaviours of a flexible system. The usage of software agents provides encouraging possibilities to meet the aforementioned challenges. The software agents can be considered as autonomous software units, which act independently – within their decision limits – to accomplish their predefined goals. Agents are able to flexibly interact and cooperate with each other to reach their individual goals.
Special capabilities of software agents are expected where distributed structures need to have local dynamics and should react autonomously and at the same time diverse, cross-system dependencies between sub-processes significantly influence the behaviour of the overall system. By employing agents, it becomes possible to methodically provide the necessary flexibility and scalability of an automation system. Here, the long overdue paradigms of static and hierarchical systems can be shifted to the paradigms of flexible and decentralized networks of autonomous and cooperative elements.
Based on the challenges of complex technical systems this paper shows how agents can be used as operating units for organisational and monitoring purposes and as a support in development and operation of industrial automation systems.
About the Speaker:
Prof. Dr.-Ing. Dr. h. c. Peter Göhner (64) is the head of the institute of Industrial Automation and Software Engineering (IAS) at the University of Stuttgart since 1995. He studied from 1971 to 1977 in Stuttgart and achieved a degree in Mathematics (Dipl.-Math.) and a degree in Computer Science (Dipl.-Inform.). He did his Ph.D. studies from 1976 to 1980 at the Institute of Control and Process Automation at the University of Stuttgart. After his Ph.D. studies he worked in several companies as employee and CEO, such as “Gesellschaft für Prozessrechnerprogrammierung mbH“ and “Innovative Softwaretechnologie GmbH”. In September 2000 he received an honorary Doctorate (Dr. h. c.) from the Technical University of Donezk, Ukraine. In the same year, he received the academic award for media didactics (MEDIDA-PRIX) for multimedia connection between teaching and practice. In 2011 he achieved the price “Ausgewählter Ort im Land der Ideen” for his project “Intelligent Medicine-Cabinet”. From 2000 to 2003 he was the vice rector for academic affairs and advanced educations and from 2003 to 2007 the provisional director of the computer center (RUS) of the University of Stuttgart. His main research areas are reusability concepts in industrial automation, reliability of automated systems, energy optimization in technical systems, agent-oriented concepts in industrial automation and user-oriented automation. See also http://www.ias.uni-stuttgart.de/.
Prof. Dr. Wolfram Burgard (Jointly with KI 2014)
Thursday, September 25, 2014, 9:00 a.m.
Title: Probabilistic Techniques for Mobile Robot Navigation
Probabilistic approaches have been discovered as one of the most powerful approaches to highly relevant problems in mobile robotics including perception and robot state estimation. Major challenges in the context of probabilistic algorithms for mobile robot navigation lie in the questions of how to deal with highly complex state estimation problems and how to control the robot so that it efficiently carries out its task. In this talk, I will present recently developed techniques for efficiently learning a map of an unknown environment with a mobile robot. I will also describe how this state estimation problem can be solved more effectively by actively controlling the robot. For all algorithms I will present experimental results that have been obtained with mobile robots in real-world environments.
About the Speaker:
Wolfram Burgard is a professor for computer science at the University of Freiburg and head of the research lab for Autonomous Intelligent Systems. He is a Fellow of the European Coordinating Committee for Artificial Intelligence (ECCAI) and of the Association for the Advancement of Artificial Intelligence (AAAI). In 2009, he has received the Gottfried Wilhelm Leibniz Prize, the most prestigious German research award. In 2010, he has received an Advanced Grant of the European Research Council. Since 2012, he is the coordinator of the Cluster of Excellence BrainLinks-BrainTools funded by the German Research Foundation. His areas of interest lie in artificial intelligence and mobile robots, and his research mainly focuses on the development of robust and adaptive techniques for state estimation and control. With his group, he has developed a series of innovative probabilistic techniques for robot navigation and control. They cover different aspects such as localization, map-building, SLAM, path-planning, exploration, and several other aspects. He and his group have deployed Rhino as the first interactive mobile tour-guide robot in the Deutsches Museum Bonn in Germany, the mobile robot Minerva in the Smithsonian Museum of American History in Washington, DC, and several robots that autonomously operated in trade shows and Museums. They have also been active in autonomous cars and robots that autonomously navigate like pedestrians. See also http://www2.informatik.uni-freiburg.de/~burgard/.