Jon Sticklen

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  • Jon Sticklen
  • 1998
Although clear examples of knowledge-based systems existed earlier, many would argue that their real push toward maturity began in the incubator of medical diagnostic problem solving. Certainly we can say that task-specific approaches to knowledge-based problem solving developed largely from the AI in Medicine community's work in the late 70s and 80s.(More)
This paper presents an algorithm for recommending items using a diverse set of features. The items are recommended by performing a random walk on the k-partite graph constructed from the heterogenous features. To support personalized recommendation, the random walk must be initiated separately for each user, which is computationally demanding given the(More)
The need for effective tutoring and training is mounting, especially in industry and engineering fields, which demand the learning of complex tasks and knowledge. Intelligent tutoring systems are being employed for this purpose, thus creating a need for cost-effective means of developing tutoring systems. We discuss a novel approach to developing an(More)
| Models that are constructed within the bounds of a single paradigm are not suucient for modeling all aspects of complex systems. Therefore, even though reasoning and simulation systems that utilize a single modeling paradigm are the current norm, we explore a multimodel approach in this paper. A multimodel approach is deened as one in which more than one(More)