Title
Visualization Of Decision Processes Using A Cognitive Architecture
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 modified 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 field of cognitive modeling.
Year
DOI
Venue
2013
10.1117/12.2005736
VISUALIZATION AND DATA ANALYSIS 2013
Keywords
Field
DocType
Software visualization, visual knowledge representation, graph/network data, visualization in social and information sciences, cognitive model
Procedural knowledge,Computer vision,Architecture,Visualization,Computer science,Information science,Human–computer interaction,Artificial intelligence,Cognitive model,Cognitive architecture,Software visualization,Cognition
Conference
Volume
ISSN
Citations 
8654
0277-786X
0
PageRank 
References 
Authors
0.34
11
5
Name
Order
Citations
PageRank
Mark A. Livingston139933.58
a g murugesan200.34
Derek Brock3204.00
Wende K. Frost401.01
Dennis Perzanowski525826.56