1 |
Controlled English for Effective Communication during Coalition Operations
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
2 |
Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
4 |
Using Target Network Modelling to Increase Battlespace Agility
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
5 |
Visualization of Decision Processes Using a Cognitive Architecture
|
|
|
|
In: DTIC (2013)
|
|
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.
|
|
Keyword:
*COGNITIVE SCIENCE; COGNITIVE MODELS; Cybernetics; GRAPH NETWORK DATA; GRAPHS; INFORMATION SCIENCES; MODELS; SOCIAL SCIENCES; SOFTWARE VISUALIZATION; SYMPOSIA; VISUAL KNOWLEDGE REPRESENTATION; VISUALIZATION
|
|
URL: http://www.dtic.mil/docs/citations/ADA602495 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA602495
|
|
BASE
|
|
Hide details
|
|
6 |
Enabling Efficient Intelligence Analysis in Degraded Environments
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
7 |
An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
10 |
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
11 |
Interacting with Multi-Robot Systems Using BML
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
12 |
Making Semantic Information Work Effectively for Degraded Environments
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
13 |
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
|
|
|
|
In: DTIC (2013)
|
|
BASE
|
|
Show details
|
|
|
|