This work suggests the estimation method developed in relation to the position of the robotic system (RS) operator, showing his degree of risk proneness. The base models are: Hurwitz pessimism/optimism criterion and decision trees. The problem is solved using the reverse setting: we estimate pessimism/optimism parameter of the operator (decision taker) by observing what decisions he makes when ...

An adaptive test is a computer-based testing technique which adjusts the sequence of questions on the basis of the estimated ability level of the test taker. We suggest the use of credal networks, a generalization of Bayesian networks based on sets of probability mass functions, to implement adaptive tests exploiting the knowledge of the test developer instead of training on databases of answer...

I. Data Sources Our data on SAT scores come from samples of SAT-takers from the 1998-2001 cohorts of high-school graduates. Our data include 100% of black test takers from these cohorts. For white test takers, we observe 100% of those from California and Texas and 25% of all others. Test takers of other races (including “Hispanic,” which is treated as a separate race on the SAT questionnaire) a...

There is growing interest in higher education for electronic learning resources and tools which could make use of the large technological infrastructure that has built up around students and institutions over the past few years. This paper investigates the technology that would be required to produce a tool for the automatic visual and aural capture of lectures. A possible implementation is the...

In this work, we investigate whether the analysis of opinion expressions can help in scoring persuasive essays. For this, we develop systems that predict holistic essay scores based on features extracted from opinion expressions, topical elements, and their combinations. Experiments on test taker essays show that essay scores produced using opinion features are indeed correlated with human scor...

The advent of competitive markets confronts each producer with the problem of optimally allocating his energy/capacity so as to maximize his pro$ts. The multiplicity of auctions in electricity markets and the nontrivial constraints imposed by technical and bidding rules make the problem of crucial importance and di/cult to model and solve. Further di/culties are represented by the dynamic and s...

Combinatorial auctions are desirable as they enable bidders to express the synergistic values of a group of assets and thus may lead to better allocations. Compared to other types of auctions, they keep bidders from being exposed to risks (of receiving only parts of combinations that would be valuable to them) or from being overly cautious (in order to minimize such risks). However, computation...