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This paper describes a technique for making personal-ized recommendations from any type of database to a user based on similarities between the interest profile of that user and those of other users. In particular, we discuss the implementation of a networked system called Ringo, which makes personalized recommendations for music albums and artists. Ringo's(More)
This paper presents a novel approach to the problem of action selection for an autonomous agent. An agent is viewed as a collection of competence modules. Action selection is modelled as an emergent property of an activa-tion/inhibition dynamics among these modules. A concrete action selection algorithm is presented and a detailed account of the results is(More)
T he members of electronic communities are often unrelated to each other; they may have never met and have no information on each otherÏs reputation. T his kind of information is vital in electronic commerce interactions, where the potential counterpartÏs reputation can be a signiÐcant factor in the negotiation strategy. T wo complementary reputation(More)
One category of researchers in artiicial life is concerned with modeling and building so-called adaptive autonomous agents. Autonomous agents are systems that inhabit a dynamic, unpredictable environment in which they try to satisfy a set of time-dependent goals or motivations. Agents are said to be adaptive if they improve their competence at dealing with(More)
Software agents help automate a variety of tasks including those involved in buying and selling products over the Internet. Although shopping agents provide convenience for consumers and yield more efficient markets, today's first-generation shopping agents are limited to comparing merchant offerings only on price instead of their full range of value. As(More)