Building a domain model consumes a major portion of the time and effort required for building an Intelligent Tutoring System. Past attempts at reducing the knowledge acquisition bottleneck by automating the knowledge acquisition process have focused on procedural tasks. We present CAS (Constraint Acquisition System), an authoring system for automatically acquiring the domain model for non-proce...

MORE is a tool that assists in eliciting knowledge from domain experts. Acquired information is added to a domain model of qualitative causal relations that may hold among hypotheses, symptoms, and background conditions. After generating diagnostic rules from the domain model, MORE prompts for additional information that would allow a stronger set of diagnostic rules to be generated, MORE'S pri...

Acquisition of new terminology from specific domains and its adequate description within terminological dictionaries is a complex task, especially for languages that are morphologically complex such as Serbian. In this paper we present an approach to solving this task semi-automatically on basis of lexical resources and local grammars developed for Serbian. Special attention is given to automat...

This paper proposes a new method for learning a context-sensitive conditional probability context-free grammar from an unlabeled bracketed corpus based on clustering analysis and describes a natural language parsing model which uses a probability-based scoring function of the grammar to rank parses of a sentence. By grouping brackets in a corpus into a number of similar bracket groups based on ...

This paper addresses two aspects of triangulation-based range sensors using structured laser light: calibration and measurements consistency. We present a direct calibration technique which does not require modelling any speciic sensor component or phenomena , therefore is not limited in accuracy by the inability to model error sources. We also introduce some consistency tests based on two-came...

In this paper, it is proposed the information delivery system that the transmission signal embraces together the wide-area information and the local area information. The distant user from the base station receives the wide-area information only and the nearby user receives together the widearea information and the local-area information. The proposed system uses the code shift keying(CSK) for ...

Trace conditioning is considered a model of higher cognitive involvement in simple associative tasks. Studies of trace conditioning have shown that cortical areas and the hippocampal formation are required to associate events that occur at different times. However, the mechanisms that bridge the trace interval during the acquisition of trace conditioning remain unknown. In four experiments with...

There are two significant goals in teleoperation systems: Stability and performance. This paper introduces an LMI-based robust control method for bilateral transparent teleoperation systems in presence of model mismatch. The uncertainties in time delay in communication channel, task environment and model parameters of master-slave systems is called model mismatch. The time delay in communicatio...

In this paper we revisit the relationship between democracy, redistribution, and inequality. We first explain the theoretical reasons why democracy is expected to increase redistribution and reduce inequality, and why this expectation may fail to be realized when democracy is captured by the richer segments of the population; when it caters to the preferences of the middle class; or when it ope...

Electron backscatter diffraction EBSD is a powerful technique applicable to a range of microstructural analyses, including texture, grain size, boundary characterization, phase distribution and inter-phase orientation relationships. The technique is suited to solving an increasing range of analytical problems on the um to mm scale. However, best results are only obtained with a good understandi...