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 ...

The Airline Group of the International Federation Operational Research Societies (AGIFORS) held four conferences during May to July 2021 that focused on how COVID-19 was impacting and reshaping airline industry. Dozens representatives from around world spoke about fundamental changes in passenger demand booking patterns are industry driving innovation research needs. Customers much closer depar...