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42.2 AMYGDALA PERFUSION IS ASSOCIATED WITH AUDITORY VERBAL HALLUCINATIONS WITH EMOTIONAL CONTENT IN SCHIZOPHRENIA PATIENTS
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24.2 NATURAL LANGUAGE PROCESSING STUDIES OF PSYCHOSIS AND ITS RISK STATES
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24.3 EARLY MARKERS OF THOUGHT DISORGANIZATION IN SPEECH STRUCTURE
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24.4 MOVING SPEECH TECHNOLOGY METHODS OUT OF THE LABORATORY: PRACTICAL CHALLENGES AND CLINICAL TRANSLATION OPPORTUNITIES FOR PSYCHIATRY
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[J.E.C.V. (Johan) Rooryck Giving Lecture at Conference] ; 3967: Open Access Symposium, 2016
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[Portrait of Johan Rooryck] ; 3967: Open Access Symposium, 2016
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[Portrait of Johan Rooryck] ; 3967: Open Access Symposium, 2016
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[J.E.C.V. (Johan) Rooryck Giving Lecture at Conference] ; 3967: Open Access Symposium, 2016
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Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
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In: DTIC (2014)
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Biological Information Processing in Single Microtubules
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In: DTIC (2014)
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Invited Speaker Support for SBP Conference Series (SBP 2014) held in April, 2014 in Washington, DC.
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Controlled English for Effective Communication during Coalition Operations
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In: DTIC (2013)
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Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
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In: DTIC (2013)
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Using Target Network Modelling to Increase Battlespace Agility
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In: DTIC (2013)
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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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Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
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In: DTIC (2013)
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