Learn More
We are investigating techniques for developing distributed and adaptive collections of agents that coordinate to retrieve, lter and fuse information relevant to the user, task and situation, as well as anticipate a user's information needs. In our system of agents, information gathering is seamlessly integrated with decision support. The task for which(More)
To facilitate the rapid development and open system interoper-ability of autonomous agents we need to carefully specify and effectively implement various classes of agent behaviors. Our current focus is on the behaviors and underlying architecture of WWW-based autonomous software agents that collect and supply information to humans and other computational(More)
In this paper we define the notions of agent matchmaking and brokering behaviors that are used while processing requests among initially unacquainted sets of agents. These behaviors are basic components of common organizational roles and thus must be understood by computational agents. Brokering and matchmaking behaviors can be used to construct(More)
We examine the first large real-world data set on personal knowledge question's security and memorability from their deployment at Google. Our analysis confirms that secret questions generally offer a security level that is far lower than user-chosen passwords. It turns out to be even lower than proxies such as the real distribution of surnames in the(More)
One of the most important uses of agent models is for problem-solving coordination. Coordination has been defined as managing the interdependencies between activities, or pragmatically as choosing, ordering, and locating actions in time in an attempt to maximize a possibly changing set of decision criteria. Coordination activities include not only localized(More)