CEC'03 Tutorials:
1. Agent Technologies for e-Commerce and e-Services
Jane Hsu, Associate Professor, National Taiwan University
http://hugo.csie.ntu.edu.tw/~yjhsu/
Time: 8:00-10:00, June 24, 2003 (Tuesday)
Abstract:
The Internet has revolutionalized how business transactions are conducted.
Recent developments in web services standards and tools will further evolve
the Web from a platform for information sharing into a global, dynamic,
and open ecosystem of e-services delivering information, knowledge, decision
support, transactions, and applications. Autonomous software agents with
the capabilities of planning, learning, cooperation, and mobility provide
some promising technologies for e-services. This tutorial will present
an overview of intelligent software agents in a variety of e-commerce applications.
We will then examine key ideas in multi-agent system, semantic web, agent-mediated
negotiation, and contextualization that can help automate the process of
e-service discovery, composition, and delivery.
2. Trust and Mechanism Design in Electronic Markets
Sviatoslav Braynov, Assistant Professor
Department of Computer Science and Engineering
210 Bell Hall
University at Buffalo
Buffalo, NY 14260
e-mail: sbraynov@cse.buffalo.edu
Time: 10:30-12:30, June 24, 2003 (Tuesday)
Abstract:
Mechanism design has been a subject of continuous interest in e-commerce,
multiagent systems, game theory, and computational economics. The primary
objective of mechanism design is to develop and implement optimal market
rules that maximize some desirable criterion of efficiency (social welfare,
an agent’s revenue, etc.).
In the tutorial we present and discuss various market mechanisms that ensure
and promote trustworthy behavior on the part of untrustworthy agents. The
mechanisms are self-enforcing in the sense that they are not based on trusted
third parties or centralized databases such as reputation systems.
The tutorial presents two classes of mechanisms: negotiation-based and
auction-based The negotiation-based mechanisms are based on the idea that
if sufficient economic incentives are present, an agent can truthfully
report his level of trustworthiness at the beginning of every transaction.
Honest reporting at the first stage of interaction informs other agents
about possible interaction risks and helps them form realistic expectations
about possible outcomes.
The auction-based mechanisms are based on the idea that different auction
rules could be designed to separate trustworthy from untrustworthy bidders.
That is, all trustworthy bidders choose one schedule, while untrustworthy
bidders choose another. This eliminates information asymmetry, and allows
the auctioneer to evaluate bids using the actual bidders’ trustworthiness.
Mechanism design for trust-building could help reduce the cost of trust
management and eliminate many market failures and inefficiencies caused
by lack of trust. Trust-based mechanism design could be implemented as
a complimentary alternative to many infrastructures for risk assessment
and fraud protection, such as reputation databases, recommender systems
and trusted third parties.
Short Bio:
Dr. Braynov is an Assistant Professor in the Department of Computer Science
and Engineering, State University of New York at Buffalo. He received his
M.S. degree in Computer Science from the University of Sofia, Bulgaria,
1987. In 1998 he obtained his Ph.D. degree in Computer Science from the
Computer Center of Russian Academy of Sciences, Moscow, Russia. In 1996
Dr. Braynov specialized in the AI Lab, Vrije Universiteit, Brussels. In
1996 he finished a two-year gradate program in Economics at the University
of Delaware. From 1998 to 2000 he was a post-doctoral research associate
at Washington University, St. Louis. Dr. Braynov has published more than
20 papers in refereed conferences and journals, including the American
National Conference on Artificial Intelligence (AAAI), the European Conference
on AI (ECAI), the First ACM Conferenceon Electronic Commerce, the The International
Conference on Multiagent Systems (ICMAS), etc. He is a program chair of
the ACM SAC special track on ECommerce technologies. His research interests
include multiagent systems, electronic commerce, artificial intelligence
and game theory.
|