TY - JOUR
T1 - CoJACK
T2 - A high-level cognitive architecture with demonstrations of moderators, variability, and implications for situation awareness
AU - Ritter, Frank E.
AU - Bittner, Jennifer L.
AU - Kase, Sue E.
AU - Evertsz, Rick
AU - Pedrotti, Matteo
AU - Busetta, Paolo
N1 - Funding Information:
This work was supported by the UK MoD’s Directorate of Analysis, Experimentation and Simulation corporate research programme (Project No. RT/COM/3/006). We thank Susan Chipman, Simon Goss, and Harold Hawkins for useful discussions about modeling, and Ian Greig, Roy McNee, Bharat Patel, and Colin Sheppard for useful discussions about CoJACK. Bil Lewis, along with Damodar Bhandikar and Jeremiah Hiam, helped develop dTank. ONR N00014-06-1-0164 helped support dTank. Comments from Olivier Georgeon, Greg Plumb, participants at the ARL Workshop on Developing and Understanding Computational Models of Macrocognition, and anonymous reviewers of previous versions of this paper as related conference papers, as well as six very responsive, helpful, and kind BICA reviewers helped improve this presentation.
PY - 2012/7
Y1 - 2012/7
N2 - We report a high-level architecture, CoJACK, that provides insights on behavior variability, situation awareness, and behavioral moderators. CoJACK combines Beliefs/Desires/Intentions (BDI) agents' high-level knowledge representation and usability with several aspects of low-level cognitive architectures, including processing time predictions, errors, and traceability. CoJACK explores new areas for cognitive architectures, such as variability arising from moderators. It also allows aspects of situation awareness (SA) in a cognitive architecture to be explored. Its behavior and the effects of moderators on behavior are demonstrated in a simple adversarial environment. It provides lessons for other architectures including how to define, measure, and control variability due to individual and temporal aspects of cognition; the importance of SA and knowledge representations necessary to support complex SA; the potential for parameter sweeps and paths as measures of variability; and some of the complexities that will arise when aspects of moderators and SA are added to cognitive architectures.
AB - We report a high-level architecture, CoJACK, that provides insights on behavior variability, situation awareness, and behavioral moderators. CoJACK combines Beliefs/Desires/Intentions (BDI) agents' high-level knowledge representation and usability with several aspects of low-level cognitive architectures, including processing time predictions, errors, and traceability. CoJACK explores new areas for cognitive architectures, such as variability arising from moderators. It also allows aspects of situation awareness (SA) in a cognitive architecture to be explored. Its behavior and the effects of moderators on behavior are demonstrated in a simple adversarial environment. It provides lessons for other architectures including how to define, measure, and control variability due to individual and temporal aspects of cognition; the importance of SA and knowledge representations necessary to support complex SA; the potential for parameter sweeps and paths as measures of variability; and some of the complexities that will arise when aspects of moderators and SA are added to cognitive architectures.
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U2 - 10.1016/j.bica.2012.04.004
DO - 10.1016/j.bica.2012.04.004
M3 - Article
AN - SCOPUS:84868282557
VL - 1
SP - 2
EP - 13
JO - Biologically Inspired Cognitive Architectures
JF - Biologically Inspired Cognitive Architectures
SN - 2212-683X
ER -