招待講演

10月1日(木)


 

招待講演1 11:10 – 12:10 会場A: ロイヤルホール(Royal Hall)



篠田 陽一

北陸先端科学技術大学院大学 情報社会基盤研究センター 教授

講演題目
StarBEDはエージェントと仲良しか

講演概要



 

招待講演2 13:10 – 14:10 会場A: ロイヤルホール(Royal Hall)

Milind Tambe

Milind Tambe
University of Southern California

講演題目
Towards a Science of Security Games:
Key Algorithmic Principles, Deployed Applications and Research Challenges

講演概要

Security is a critical concern around the world, whether it is the challenge of protecting ports, airports and other critical infrastructure, interdicting the illegal flow of drugs, weapons and money, protecting endangered wildlife, forests and fisheries, suppressing urban crime or security in cyberspace. Unfortunately, limited security resources prevent full security coverage at all times; instead, we must optimize the use of limited security resources. To that end, we founded the “security games” framework that has led to building of decision-aids for security agencies. Security games is a novel area of research that is based on computational and behavioral game theory, while also incorporating elements of AI planning under uncertainty and machine learning. Today security-games based decision aids for infrastructure security are deployed in the US and internationally; examples include deployments at ports and ferry traffic with the US coast guard (in ports such as New York, Boston, Los Angeles/Long Beach and others), for security of air traffic with the US Federal Air Marshals, and for security of university campuses, airports and metro trains with police agencies in the US and other countries. Moreover, recent work on “green security games” has led to testing our decision aids for protection of fisheries with the US Coast Guard and protection of wildlife at sites in multiple countries, and “opportunistic crime security games” have focused on suppressing urban crime. I will discuss our use-inspired research in security games, that is leading to a new science of security games, including algorithms for scaling up security games as well as for handling significant adversarial uncertainty and learning models of human adversary behaviors.

(*) This is joint work with a number of former and current PHD students, postdocs, and other collaborators, all listed at:
http://teamcore.usc.edu/security

略歴

Milind Tambe is Helen N. and Emmett H. Jones Professor in Engineering at the University of Southern California(USC). He is a fellow of AAAI and ACM, as well as recipient of the ACM/SIGART Autonomous Agents Research Award, Christopher Columbus Fellowship Foundation Homeland security award, the INFORMS Wagner prize for excellence in Operations Research practice, the Rist Prize of the Military Operations Research Society, IBM Faculty Award, Okawa foundation faculty research award, RoboCup scientific challenge award, Orange County Engineering Council Outstanding Project Achievement Award, USC Associates award for creativity in research and USC Viterbi use-inspired research award. Prof. Tambe has contributed several foundational papers in areas such as multiagent teamwork, distributed constraint optimization (DCOP) and security games. For this research, he has received the “influential paper award” from the International Foundation for Agents and Multiagent Systems(IFAAMAS), as well as with his research group, multiple best paper awards at conferences such as the International Conference on Autonomous Agents and Multiagent Systems and International Conference on Intelligent Virtual Agents. In addition, the real-world deployments of the ”security games” framework and algorithms pioneered by Prof. Tambe and his research group has led them to receive the US Coast Guard Meritorious Team Commendation from the Commandant, US Coast Guard First District’s Operational Excellence Award, Certificate of Appreciation from the US Federal Air Marshals Service and special commendation given by the Los Angeles World Airports police from the city of Los Angeles. For his teaching and service, Prof. Tambe has received the USC Steven B. Sample Teaching and Mentoring award and the ACM recognition of service award. Prof Tambe has also co-founded ARMORWAY, a company focused on security resource optimization through game theory and machine learning, where he serves on the board of directors and as director of research. Prof. Tambe received his Ph.D. from the School of Computer Science at Carnegie Mellon University.

 
→ iJAWS Tutorials (Oct. 2, 8:30 – 11:10)

10月2日(金)


 

iJAWS 講演 11:10 – 12:10 会場A: ロイヤルホール(Royal Hall)

Bo An

Bo An
Nanyang Technological University, Singapore

Title:
Optimizing Efficiency of Taxi Systems

ABSTRACT:

I will discuss our work on applying game theory for taxi system efficiency optimization. A long-standing problem in Beijing’s taxi market is that most taxi drivers intentionally avoid working during peak hours despite of the huge customer demand within these peak periods. The existence of this dilemma is mainly triggered by the ignorance of taxi drivers’ congestion costs in the present taxi fare structure. To resolve this problem, we propose a new pricing scheme and the major challenge is the computational intensiveness to identify the optimal strategy of taxi drivers due to the exponentially large size of the taxi drivers’ strategy space and the scheduling constraints. I will also briefly talk about our recent work on electric vehicle charging station placement considering 1) EV drivers’ strategic behaviors to minimize their charging cost, and 2) the mutual impact of EV drivers’ strategies on the traffic conditions of the road network and service quality of charging stations.

Biography:

Bo An is a Nanyang Assistant Professor with the School of Computer Engineering, Nanyang Technological University, Singapore. His current research interests include artificial intelligence, multiagent systems, game theory, and optimization. He has published over 40 referred papers at AAMAS, IJCAI, AAAI, ICAPS, JAAMAS and IEEE Transactions. Dr. An was the recipient of the 2010 IFAAMAS Victor Lesser Distinguished Dissertation Award, an Operational Excellence Award from the Commander, First Coast Guard District of the United States, the Best Innovative Application Paper Award at AAMAS’12, and the 2012 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice. He is a member of the Board of Directors of IFAAMAS.