AGENT SCHOOL

   Hanoi, December, 11-12, 2008

   

 A 2-days agent school will be organized before the workshop.

The location of the Agent school is: Room 212, E3 Building, College of Technology, Vietnam National University, Hanoi

144 Xuan Thuy, Cau Giay, Hanoi

 

 Chair:

 Hiromitsu Hattori, Japan                                                   Email: hatto@i.kyoto-u.ac.jp

 

Applicants from Asia and Pacific Rim countries are welcome. Applicants will be selected for a place at the school based on their CV. People interested in attending the school are asked to send a CV to Ms. Tran Thu Hien (email: tran.thi.thu.hien@auf.org) before the 22th November 2008. Applicants will be informed of their acceptance before the 25th December 2008.

 

 Lecturers:
+ Iyad Rahwan, Informatics Institute at the British University in Dubai, UAE
+ Serge Stinckwich, Universite de Caen Basse Normandie, France
+ Shigeo Matsubara, Department of Social Informatics, Kyoto University, Japan

+ Paul Scerri, Robotics Institute, Carnegie Mellon University, USA

 

Schedule:

December 11, 2008

08:30-09:00 Registration & Opening School

09:00-12:00 Argumentation in Multi-Agent Systems, Iyad Rahwan, Informatics Institute at the British University in Dubai, UAE

12:00-14:00 Lunch Time

14:00-17:00 Advanced Software Design Techniques for Agent Systems Serge Stinckwich, Universite de Caen Basse Normandie, France

17:30-20:30 Reception party

 

December 12, 2008

09:00-12:00 Auctions and Mechanism Design Shigeo Matsubara, Department of Social Informatics, Kyoto University, Japan

12:00-14:00 Lunch Time

14:00-17:00 Cooperative, Large-Scale Heterogeneous Multi-Agent Systems Paul Scerri, Robotics Institute, Carnegie Mellon University, USA

17:00 Close School

 

 

 Lectures:

 - Argumentation in Multi-Agent Systems, by Iyad Rahwan

In recent years, argumentation has been gaining increasing importance in multiagent systems, mainly as a means for facilitating rational interaction (i.e., interaction which involves the giving and receiving of reasons). Argumentation has made key contributions to the practice of multiagent dialogues. Application domains include: legal disputes, business negotiation, labour disputes, team formation, scientific inquiry, deliberative democracy, ontology reconciliation, and risk analysis. This talk will give an overview of the main formal models of argumentation in multiagent systems, and the main research challenges faced by the community. The talk will also cover the use of game-theoretic techniques to analyse strategic aspects of argumentation. Finally, the talk will give a brief overview of the recently proposed Argument Interchange Format and its potential applications.
Biography

Dr. Iyad Rahwan is a Lecturer at the Faculty of Informatics, at the British University in Dubai, UAE, and an Honorary Fellow at the 5*-rated School of Informatics at the University of Edinburgh, UK. He obtained a PhD under the supervision of Prof. Liz Sonenberg at the University of Melbourne, which has been ranked 1st in Australia and 19th in the world by the Times Higher Education Supplement in 2005. Iyad co-leads the Dubai Agents & Multi-Agent Systems (DAMAS) research group together with Sherief Abdallah. Dr. Rahwan worked on research projects supported by the Commonwealth Scientific and Industrial Research Organisation (CSIRO), the Australian Research Council (ARC), Hewlett Packard and Tejari. His research focuses on supporting and automating complex multi-party decision-making using techniques from Distributed Artificial Intelligence (DAI) and Multi-Agent Systems (MAS).

 

 - Advanced Software Design Techniques for Agent Systems, by Serge Stinckwich

Agent technology has evolved rapidly over the last few years and is especially used when trying to solve problems in an uncertain world that changes frequently. This tutorial will deal with the general problem of adaptation and self-adaptation in the context of multi- agent systems. Several methods from software engineering (meta-level and reflective architectures, Aspect Oriented Programming or hierarchical modeling) but also from cognitive sciences (anticipatory system, self-organisation and self-observation) will be presented and compared. Practical examples from diverse research fields like embedded systems, reconfigurable robotic systems or ambient computing will also be provided.
This tutorial on the current state of the art of software engineering for agent systems will give an overview of this area without assuming any prior knowledge on the topic. The students should only be familiar with multi-agent basics and some knowledge of software design techniques (object modeling, design pattern, ...).
Biography

Serge Stinckwich is an associate professor of Computer Science at the Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen, Universite de Caen Basse Normandie (France). He is currently an inviting professor for two years in the MSI team (IFI) in Hanoi, Vietnam. His research interests include software architecture for multi-agent and robotic systems, Urban search and rescue robots, pedagogical robotics, anticipatory systems.
 

 - Auctions and mechanism design, by Shigeo Matsubara

Auctions have become a central topic of the multiagent systems research. Although auctions have been utilized as a method of determining resource allocation through the ages, they are rapidly gaining significance with the developments in IT. For example, ad auctions used by Google and Yahoo are performed whenever you search information on Google and Yahoo. In addition to ad auctions, combinatorial auctions have attracted an interest of AI researchers, which stemming from the success of FCC spectrum auctions. To understand the properties of these auctions and design efficient auction mechanisms, knowledge of economics as well as computer science are required. Some basic concepts of economics such as equilibrium, rationality, however, are not easily accessible to students with computer science or engineering backgrounds. This lecture gives an introductory tutorial of these basic concepts and recent advances in mechanism design researches from the viewpoint of computer science.

Biography

Shigeo Matsubara is Associate Professor of Social Informatics at Kyoto University. He received M.Sc. in precision mechanics (1992) and Ph.D. in informatics (2001) from Kyoto University. After working for NTT Communication Science Laboratories, he joined Kyoto University in 2007. He served as an industrial track co-chair of AAMAS2007. He has worked in various areas of AI, including AI planning, multiagent systems, and web services. His interest in recent years has been information economics, and in particular the interaction between computer science and game theory.

 

 - Cooperative, Large-Scale Heterogeneous Multi-Agent Systems, by Paul Scerri

In this lecture I will talk about some approaches to allowing large groups of cooperative agents, robots and people to work together. Such systems are useful for a wide range of domains including disaster  response, agriculture, search and rescue and manufacturing.  Coordination of these multi-agent systems requires dealing with challenges including planning, task and resource allocation and information sharing. I will describe approaches to these challenges that draw inspiration from a range of areas, including teamwork,  markets, decision-theory and biology. I will also describe solutions  to the overall problem that bring together specific solutions into a single framework for doing large-scale coordination. Specific attention will be paid to how human operators can perform oversight and have input into these teams. Finally, I will describe some systems that have been developed and the challenges that remain.

Biography

Dr. Scerri is a System Scientist at the Robotics Institute at Carnegie Mellon University. He holds a BS in Applied Science (Honors) from RMIT University in Australia and a PhD from Linkoping University in Sweden. Previously, he has been a Research Associate at the Information Sciences Institute at the University of Southern California.  His research focuses on multi-agent coordination and human interaction with intelligent systems. Dr. Scerri has authored over 100 technical publications including journal articles, book chapters and conference papers. He has developed the Machinetta coordination software which has been used in several large projects, including projects for DARPA, USAF and Homeland Security.