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Title: Cognitive systems and sciences at SNL.


Abstract not provided.

; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories, Livermore, CA
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the Denial and Deception for Cyber Defense Workshop.
Country of Publication:
United States

Citation Formats

Divis, Kristin Marie, Abbott, Robert G., Avina, Glory Emmanuel, and Matzen, Laura E. Cognitive systems and sciences at SNL.. United States: N. p., 2016. Web.
Divis, Kristin Marie, Abbott, Robert G., Avina, Glory Emmanuel, & Matzen, Laura E. Cognitive systems and sciences at SNL.. United States.
Divis, Kristin Marie, Abbott, Robert G., Avina, Glory Emmanuel, and Matzen, Laura E. 2016. "Cognitive systems and sciences at SNL.". United States. doi:.
title = {Cognitive systems and sciences at SNL.},
author = {Divis, Kristin Marie and Abbott, Robert G. and Avina, Glory Emmanuel and Matzen, Laura E.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 7

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  • No abstract prepared.
  • Modem nuclear power plants (NPPs) are complex systems whose performance is the result of an intricate interaction of human and system control. A complex system may be defined as one which supports a dynamic process involving a large number of elements that interact in many different ways. Safety is addressed through defense-in-depth design and preplanning; i.e., designers consider the types of failures that are most likely to occur and those of high consequence, and design their solutions in advance. However, complex interactions and their failure modes cannot always be anticipated by the designer and may be unfamiliar to plant personnel.more » These situations may pose cognitive demands on plant personnel, both individually and as a crew. Other factors may contribute to the cognitive challenges of NPP operation as well, including hierarchal processes, dynamic pace, system redundancy and reliability, and conflicting objectives. These factors are discussed in this paper.« less
  • According to theories of cognitive processing style or cognitive control mode, human performance is more effective when an individual’s cognitive state (e.g., intuition/scramble vs. deliberate/strategic) matches his/her ecological constraints or context (e.g., utilize intuition to strive for a "good-enough" response instead of deliberating for the "best" response under high time pressure). Ill-mapping between cognitive state and ecological constraints are believed to lead to degraded task performance. Consequently, incorporating support systems which are designed to specifically address multiple cognitive and functional states e.g., high workload, stress, boredom, and initiate appropriate mitigation strategies (e.g., reduce information load) is essential to reduce plantmore » risk. Utilizing the concept of Cognitive Control Models, this paper will discuss the importance of tailoring support systems to match an operator's cognitive state, and will further discuss the importance of these ecological constraints in selecting and implementing mitigation strategies for safe and effective system performance. An example from the nuclear power plant industry illustrating how a support system might be tailored to support different cognitive states is included.« less
  • The performance and complexity of the signal processing hardware accessible to SDR/CR/RADAR designers has quickly out-paced the available design tools. The advances in Digital Signal Processors (DSP) both fixed- and floating-point, Field Programmable Gate Arrays (FPGA), and multicore processors have enabled rapid prototyping and deployment of platforms that can be dynamically reconfigured in the field to implement a variety of SDR/CR/RADAR waveforms. Until recently the process of creating waveforms meant starting with high-level mathematical models and simulations and then creating production quality code that can operate on this variety of specialized hardware using either hand coding or vendor specific tools,more » which are typically limited to single processor solutions. This paper discusses an integrated model-driven design process and tool-flow used in ORNL's Cognitive Radio Program. It describes how the process and tool-flow are used on a variety of SDR and CR projects and in the development of a software-defined RADAR environment simulator. It describes how, from a single Simulink model, a single deadlock free real-time multiprocessor application is created and executed on a network of heterogeneous processors. We also describe recent progress on extending the process/tool-flow to design digital ASICs and our plans for future extensions. We close by highlighting the benefits being realized from applying this design flow to SDR/CR/RADAR projects at ORNL: (1) a significant reduction in the time required to develop, prototype, implement and test SDR/CR/RADAR waveforms, (2) increased reusability/retargetabilty of SDR/CR/RADAR designs and signal processing library components, (3) the ability to quickly port SDR/CR/RADAR waveforms to different hardware systems and processor types, (4) improvements in documentation, and (5) traceability of system components back to original requirements.« less
  • Advanced small modular reactors (AdvSMRs) will use advanced digital instrumentation and control systems, and make greater use of automation. These advances not only pose technical and operational challenges, but will inevitably have an effect on the operating and maintenance (O&M) cost of new plants. However, there is much uncertainty about the impact of AdvSMR designs on operational and human factors considerations, such as workload, situation awareness, human reliability, staffing levels, and the appropriate allocation of functions between the crew and various automated plant systems. Existing human factors and systems engineering design standards and methodologies are not current in terms ofmore » human interaction requirements for dynamic automated systems and are no longer suitable for the analysis of evolving operational concepts. New models and guidance for operational concepts for complex socio-technical systems need to adopt a state-of-the-art approach such as Cognitive Systems Engineering (CSE) that gives due consideration to the role of personnel. This approach we report on helps to identify and evaluate human challenges related to non-traditional concepts of operations. A framework - defining operational strategies was developed based on the operational analysis of Argonne National Laboratory’s Experimental Breeder Reactor-II (EBR-II), a small (20MWe) sodium-cooled reactor that was successfully operated for thirty years. Insights from the application of the systematic application of the methodology and its utility are reviewed and arguments for the formal adoption of CSE as a value-added part of the Systems Engineering process are presented.« less