Abstract not found

The problem of representing temporal knowledge arises in many areas of computer science. In applications in which such knowledge is imprecise or relative, current representations based on date lines or time instants are inadequate. An interval-based temporal logic is introduced, together WiUl a

simplify the encoding of a user’s prior knowledge. In particular, a user can express his knowledge—for the most part—as a single prior Bayesian network for the domain. 1

of domains. 1.

Currently computers are changing from single isolated devices to entry points into a world wide network of information exchange and business transactions called the World Wide Web (WWW). Therefore support in the exchange of data, information, and knowledge exchange is becoming the key issue

We present a new and more symmetric version of the circumscription method of nonmonotonic reasoning first described in (McCarthy 1980) and some applications to formalizing common sense knowledge. The applications in this paper are mostly based on minimizing the abnormality of different aspects

Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data instances themselves. In this paper, we demonstrate how the popular k-means clustering algorithm can be pro tably modi- ed

Similarity is an important and widely used concept. Previous definitions of similarity are tied to a particular application or a form of knowledge representation. We present an informationtheoretic definition of similarity that is applicable as long as there is a probabilistic model. We demonstrate

learned from relational databases by iteratively optimizing a pseudo-likelihood measure. Optionally, additional clauses are learned using inductive logic programming techniques. Experiments with a real-world database and knowledge base in a university domain illustrate the promise of this approach.

To build a rich understanding, the researchers con ducted a 12-month ethnographic effort including more than 200 site visits and more than 500 pages of data entries in field notebooks. They conducted open-ended interviews with children individually and collectively and carried out semistructured interviews. The participating children built personal documents, including narratives and images (photographs). Finally, the researchers them selves kept diaries designed to record a day in the life of a particular participant. The researchers conducted labora tory studies with factorial ANaVA designs to test, among others, the impact of computing tools (3D vs. 2D) and collaboration (singles vs. dyads) on the ability to transfer skills to distal-level standardized items. Such experiments demonstrated that the Quest Atlantis soft