Educational software in the form of games or so called “computer assisted intervention” for young children has become increasingly common receiving a growing interest and support. Currently there are, for instance, more than 1000 iPad apps tagged for preschool. Thus it has become increasingly important to empirically investigate whether these kinds of software actually provide educational benef...

KL-ONE is o system for representing knowledge in Artificial Intelligence progroms. It has been developed and refined over o long period ond hos been used in both basic research and implemented knowledge-based systems in o number of places in the Al community. Here we present the kernel ideas of KL-ONE, emphasizing its ability to form complex structured descriptions. In oddition to detoiling oil...

[3] Rakesh Agrawal and Arun Swami. A one-pass space-efficient algorithm for finding quantiles. A one-pass algorithm for accurately estimating quantiles for disk-resident data. [8] Jürgen Beringer and Eyke Hüllermeier. An efficient algorithm for instance-based learning on data streams.

We present the results of detailed studies of the astrophysical conditions in z ∼ 3 Lyman Break Galaxies (LBGs), placing particular emphasis on what is learned from LBG rest frame UV spectra. By drawing from our database of ∼ 1000 spectra, and constructing higher S/N composite spectra from galaxies grouped according to properties such as luminosity, extinction, morphology, and environment, we c...

This paper adopts agent-based simulation to study the horizontal competition among homogenous price-setting retailers in a one-to-many supply chain (a supply chain consists of one supplier and multiple retailers). We model the supplier and retailers as agents, and design their behavioral rules respectively. The results show that although the agents learn individually based on their own experien...