The last 20 years have seen Colombian film production soar. Two cinema laws, one in 2003 and the other 2012, allowed for an increase of films employability this ...

Psychologists have developed many models of graph comprehension, most of them descriptive, some computational. We map the descriptive models into requirements for a cognitive architecture that can be used to build predictive computational models. General symbolic architectures such as Act-R and Soar satisfy the requirements except for those to support mental imagery operations required for many...

The results of speckle interferometric observations at the Southern Astrophysical Research Telescope (SOAR) telescope in 2014 are given. A total of 1641 observations were taken, yielding 1636 measurements of 1218 resolved binary and multiple stars and 577 non-resolutions of 441 targets. We resolved for the first time 56 pairs, including some nearby astrometric or spectroscopic binaries and ten ...

2. The Need for Knowledge Integration in Algorithm Designing algorithms requires diverse knowledge about general problem-solving, algorithm design, implementation techniques, and the application domain. The knowledge can come from a variety of sources, including previous design experience, and the ability to integrate larowledge from such diverse sources appears critical to the success of human...

845 news & views occur when deliberately using specific non-stoichiometric growth conditions. Until now, it had been generally thought that Ruddlesden–Popper phases grow in the same layer-by-layer order that their constituent monolayers are deposited. These latest results undermine this assumption, with dramatic consequences for the controlled production of high-quality thin films and their res...

To implicitly restart the second-order Arnoldi (SOAR) method proposed by Bai and Su for the quadratic eigenvalue problem (QEP), it appears that the SOAR procedure must be replaced by a modified SOAR (MSOAR) one. However, implicit restarts fails to work provided that deflation takes place in the MSOAR procedure. In this paper, we first propose a Refined MSOAR (abbreviated as RSOAR) method that i...

In this paper, we describe how we have integrated Steve, an intelligent tutor based on Soar, and HeSPI, a human simulation tool for planning and simulating maintenance tasks in nuclear power plants. The objectives of this integration were to test Steve’s flexibility to be used in different applications and environments and to extend HeSPI to use it as a virtual environment for training. We disc...

We describe an improved version of the Able cognitive model that exhibits a novice to expert transition in solving physics problems. The initial model was written by Larkin and initially translated into Soar (ver. 4) by Levy. In revising it to run in the latest version of Soar (7.0.4), we have updated it to be an exemplar of an understandable and reusable cognitive model. It includes graphic di...

The system presented here shows how Soar, an architecture for general problem solving and learning, can acquire general search-control knowledge from outside guidance. The guidance can be either direct advice about what the system should do, or a problem that illustrates a relevant idea. The system makes use of the guidance by first formulating an appropriate goal for itself. In the process of ...