Invited Speakers

Michael Luck

Michael Luck

Michael Luck is Professor of Computer Science and Head of the School of Natural and Mathematical Sciences at King's College London, where he also works in the Agents and Intelligent Systems group, undertaking research into agent technologies and intelligent systems. He is Scientific Advisor to the Board for Aerogility.His work has sought to take a principled approach to the development of practical agent systems, and spans, among other areas, formal models for intelligent agents and multi-agent systems, norms and institutions, trust and reputation, application to bioinformatics and health, and deployment and technology forecasting. He is a director of the International Foundation for Autonomous Agents and Multi-Agent Systems (IFAAMAS), was a member of the Executive Committee of AgentLink III, the European Network of Excellence for Agent-Based Computing, having previously been the Director of AgentLink II. He is an editorial board member of Autonomous Agents and Multi-Agent Systems, the International Journal of Agent-Oriented Software Engineering, Web Intelligence and Agent Systems, and ACM Transactions on Autonomous and Adaptive Systems, as well as for the SpringerBriefs in Intelligent Systems series. He was also general co-chair of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), held in Toronto, Canada in May 2010.

From Agents to Electronic Order via Norms

Abstract: Trust, reputation, norms and organisations are all relevant to the effective operation of open and dynamic multiagent systems. Inspired by human systems, yet not constrained by them, these concepts provide a means to establish a sense of order in computational environments (and mixed human-machine ones). In this talk I will review previous work across a range of areas in support of the need to develop theories and systems that provide the computational analogue of common social coordination mechanisms used by humans, in addition to those that might only find favour in computational systems. I will focus on particular examples that illustrate different approaches, including through the use of norms and contracts, and suggest some key challenges that need to be addressed to drive the field forward.


Onn ShehoryOnn Shehory

Onn Shehory received his B.Sc. in physics and computer science in 1989, M.Sc. in physics in 1992, and Ph.D. in computer science in 1996, all from Bar Ilan University, Ramat Gan, Israel. He was a post-doctoral fellow and then a visiting assistant professor at Carnegie Mellon University, Pittsburgh, PA from 1996 to 1999. In 1999 he joined the IBM Haifa Research Lab as a research staff member, a position he holds to date. From 2000 to 2006 he was an adjunct lecturer and senior lecturer at the Technion, Israel Institute of Technology, Haifa, Israel. From 2002 to date he is an adjunct senior lecturer at Bar Ilan university, Ramat Gan, Israel. Dr. Shehory has edited 15 books and authored over 90 articles. Among his research interests are autonomic systems, multi-agent systems, system and performance management, and software engineering. An article of his won the IFAAMAS influential Paper award, and two other papers of his won best paper awards. From 2006 to 2009 he served as a coordinator, and technical leader, of an international research project on software self-healing. Dr. Shehory is an associate editor of the International Journal on Autonomous Agents and Multi-Agent Systems, and of the International Journal on Agent Oriented Software Engineering. He was a board member of the International Foundation for Autonomous Agents and Multi-Agent Systems (IFAAMAS). Dr. Shehory served as program chair and general chair of multiple international conferences including the International Conference on Autonomic Computing and the international conference on Autonomous Agents and Multi-Agent Systems.


Software Self-Healing: Improving the Quality of Complex Software Systems

Abstract: Large and complex software systems are error-prone. Testing and debugging technologies do not fully address this problem. Hence, software products released to the market are inherently faulty. To overcome this problem, there is a need for a paradigm shift in software quality methodologies. In this respect, an emerging approach is to provide the software itself with autonomic properties that can overcome its faults and failures. Software self-awareness, self-diagnosis and self-healing aim to provide the sought cababilities. Software self-healing solutions deployed to date commonly address a single class of problems. Broader self-healing solutions are usually not applicable in industrial systems. Recently, some attempts were made to address the need for industry-grade, generic software self-healing. In this talk I present self-healing in general as well as specific implemented cases. I aim to examine advantages, weaknesses, wide applicability, and open research issues.