Abstract
The ability to process and use spatial knowledge is a basic cognitive ability. Two human navigation strategy types (map-based and route-based) relying on two different knowledge representations have been frequently observed. These studies suggest that the first strategy uses a sequential representation and the second uses a hierarchical cluster-based representation. These studies also suggest that humans also routinely use hybrid strategies, and that the ratio between cognitive load and relative utility mediated by situational factors influences, and when modeled, could successfully predict strategy choice. We created an ACT-R model to test these hypotheses by simulating navigation strategies, strategy choices, and strategy switches. This model deepens the empirical findings by defining more clearly the memory mechanisms involved in generating the basic representation types, and by positing a theory of interaction between these types based on ACT-R's associative declarative memory. We believe that such a work provides a concrete example on principles of these biological theories can be implemented and used in cognitive architectures.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-5 |
| Number of pages | 5 |
| Journal | Biologically Inspired Cognitive Architectures |
| Volume | 3 |
| DOIs | |
| State | Published - Jan 1 2013 |
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All Science Journal Classification (ASJC) codes
- Experimental and Cognitive Psychology
- Cognitive Neuroscience
- Artificial Intelligence
Cite this
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Understanding human high-level spatial memory : An ACT-R model to integrate multi-level spatial cues and strategies. / Zhao, Changkun; Morgan, Jonathan H.; Ritter, Frank E.
In: Biologically Inspired Cognitive Architectures, Vol. 3, 01.01.2013, p. 1-5.Research output: Contribution to journal › Article
TY - JOUR
T1 - Understanding human high-level spatial memory
T2 - An ACT-R model to integrate multi-level spatial cues and strategies
AU - Zhao, Changkun
AU - Morgan, Jonathan H.
AU - Ritter, Frank E.
PY - 2013/1/1
Y1 - 2013/1/1
N2 - The ability to process and use spatial knowledge is a basic cognitive ability. Two human navigation strategy types (map-based and route-based) relying on two different knowledge representations have been frequently observed. These studies suggest that the first strategy uses a sequential representation and the second uses a hierarchical cluster-based representation. These studies also suggest that humans also routinely use hybrid strategies, and that the ratio between cognitive load and relative utility mediated by situational factors influences, and when modeled, could successfully predict strategy choice. We created an ACT-R model to test these hypotheses by simulating navigation strategies, strategy choices, and strategy switches. This model deepens the empirical findings by defining more clearly the memory mechanisms involved in generating the basic representation types, and by positing a theory of interaction between these types based on ACT-R's associative declarative memory. We believe that such a work provides a concrete example on principles of these biological theories can be implemented and used in cognitive architectures.
AB - The ability to process and use spatial knowledge is a basic cognitive ability. Two human navigation strategy types (map-based and route-based) relying on two different knowledge representations have been frequently observed. These studies suggest that the first strategy uses a sequential representation and the second uses a hierarchical cluster-based representation. These studies also suggest that humans also routinely use hybrid strategies, and that the ratio between cognitive load and relative utility mediated by situational factors influences, and when modeled, could successfully predict strategy choice. We created an ACT-R model to test these hypotheses by simulating navigation strategies, strategy choices, and strategy switches. This model deepens the empirical findings by defining more clearly the memory mechanisms involved in generating the basic representation types, and by positing a theory of interaction between these types based on ACT-R's associative declarative memory. We believe that such a work provides a concrete example on principles of these biological theories can be implemented and used in cognitive architectures.
UR - http://www.scopus.com/inward/record.url?scp=84877964914&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877964914&partnerID=8YFLogxK
U2 - 10.1016/j.bica.2012.07.010
DO - 10.1016/j.bica.2012.07.010
M3 - Article
AN - SCOPUS:84877964914
VL - 3
SP - 1
EP - 5
JO - Biologically Inspired Cognitive Architectures
JF - Biologically Inspired Cognitive Architectures
SN - 2212-683X
ER -