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Visualization of Decision Processes Using a Cognitive Architecture
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In: DTIC (2013)
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Abstract:
Cognitive architectures are computational theories of reasoning the human mind engages in as it processes facts and experiences. A cognitive architecture uses declarative and procedural knowledge to represent mental constructs that are involved in decision making. Employing a model of behavioral and perceptual constraints derived from a set of one or more scenarios, the architecture reasons about the most likely consequence(s) of a sequence of events. Reasoning of any complexity and depth involving computational processes, however, is often opaque and challenging to comprehend. Arguably, for decision makers who may need to evaluate or question the results of autonomous reasoning, it would be useful to be able to inspect the steps involved in an interactive graphical format. When a chain of evidence and constraint-based decision points can be visualized, it becomes easier to explore both how and why a scenario of interest will likely unfold in a particular way. In initial work on a scheme for visualizing cognitively-based decision processes, we focus on generating graphical representations of models run in the Polyscheme cognitive architecture. Our visualization algorithm operates on a modi ed version of Polyscheme's output, which is accomplished by augmenting models with a simple set of tags. We provide example visualizations and discuss properties of our technique that pose challenges for our representation goals. We conclude with a summary of feedback solicited from domain experts and practitioners in the eld of cognitive modeling. ; SPIE Visualization and Data Analysis, v8654, Burlingame, CA, 4-6 Feb 2013.
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Keyword:
*COGNITIVE SCIENCE; COGNITIVE MODELS; Cybernetics; GRAPH NETWORK DATA; GRAPHS; INFORMATION SCIENCES; MODELS; SOCIAL SCIENCES; SOFTWARE VISUALIZATION; SYMPOSIA; VISUAL KNOWLEDGE REPRESENTATION; VISUALIZATION
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URL: http://www.dtic.mil/docs/citations/ADA602495 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA602495
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2 |
Toward Determining the Comprehensibility of Machine Translations
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In: DTIC (2012)
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Cognitive Tools for Humanoid Robots in Space
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In: DTIC AND NTIS (2004)
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Finding the FOO: A Pilot Study for a Multimodal Interface
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In: DTIC AND NTIS (2003)
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Spatial Language for Human-Robot Dialogs
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In: DTIC AND NTIS (2003)
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An Agent Driven Human-centric Interface for Autonomous Mobile Robots
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In: DTIC AND NTIS (2003)
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8 |
Using Spatial Language in a Human-Robot Dialog
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In: DTIC AND NTIS (2002)
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Multi-modal Interfacing for Human-Robot Interaction
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In: DTIC AND NTIS (2001)
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Using a Natural Language and Gesture Interface for Unmanned Vehicles
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In: DTIC AND NTIS (2000)
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Goal Tracking and Goal Attainment: A Natural Language Means of Achieving Adjustable Autonomy
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In: DTIC AND NTIS (1999)
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Goal Tracking in a Natural Language Interface: Towards Achieving Adjustable Autonomy
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In: DTIC AND NTIS (1999)
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Integrating Natural Language and Gesture in a Robotics Domain
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In: DTIC AND NTIS (1998)
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Talking to InterFIS: Adding Speech Input to a Natural Language Interface
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In: DTIC AND NTIS (1992)
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18 |
InterFIS: A Natural Language Interface to the Fault Isolation Shell
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In: DTIC AND NTIS (1990)
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