Representations and solutions for game-theoretic problems
Artificial Intelligence - Special issue on economic principles of multi-agent systems
An agent-based framework for building decision support systems
Decision Support Systems - Special issue on decision support technologies for complex and open organizations
Interface agents: caveat mercator in electronic commerce
Decision Support Systems
Artificial Intelligence - Chips challenging champions: games, computers and Artificial Intelligence
Systems Analysis and Design
Information Systems Research
Shill Bidding In Multi-Round Online Auctions
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume
Modern Systems Analysis and Design (4th Edition)
Modern Systems Analysis and Design (4th Edition)
Business Process Management: A Practical Guide
Business Process Management: A Practical Guide
Decision station: situating decision support systems
Decision Support Systems
Assessing the impact of internet agent on end users' performance
Decision Support Systems
Auction advisor: an agent-based online-auction decision support system
Decision Support Systems
Beginning XML with DOM and Ajax: From Novice to Professional (Beginning: From Novice to Professional)
Who Controls the Internet?: Illusions of a Borderless World
Who Controls the Internet?: Illusions of a Borderless World
Approximating game-theoretic optimal strategies for full-scale poker
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
CAPTCHA: using hard AI problems for security
EUROCRYPT'03 Proceedings of the 22nd international conference on Theory and applications of cryptographic techniques
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Conway and Koehler presented a new type of software agent that converted merchant interfaces into middleware that enabled a user to bring to bear powerful decision support tools in eCommerce transactions. They called them Interface Agents. These agents operated directly through the human interface and were largely indistinguishable from a human user. They illustrated their ideas with an agent that could play optimal Blackjack at the then emerging online casinos. They discussed possible merchant countermeasures. In this paper we look back at this setting and see what evolved and how such agents have fared. We reassess their proposed countermeasures and update them based on the ever evolving cat-and-mouse game between such agents and merchants.