TY - GEN
T1 - Towards adding a physiological substrate to ACT-R
AU - Dancy, Christopher L.
AU - Ritter, Frank E.
AU - Berry, Keith
PY - 2012
Y1 - 2012
N2 - Connecting a physiological model to a cognitive architecture presents an attractive option to better simulate a wide range of human behavior. This connection should facilitate both the effects of physiology on cognition (e.g. hunger and decision-making), and the effects of cognition on physiology (e.g. autonomic responses to memory featuring particularly aversive stimuli). To add physiology to a cognitive architecture, it should be represented as a separate module or substrate. We present ACT-R φ (ACT-R Phi), a connection of the physiology simulation system HumMod (Hester et al, 2011) and the cognitive architecture ACT-R (Anderson, 2007) using an newly created ACT-R module. A model of the startle response and its consequent effects on cognition and physiology is presented to demonstrate an example use of the new substrate. This extended version of ACT-R allows a user to computationally realize theories involving cognition, physiology, and their interaction. This architecture has potential applications to training simulations.
AB - Connecting a physiological model to a cognitive architecture presents an attractive option to better simulate a wide range of human behavior. This connection should facilitate both the effects of physiology on cognition (e.g. hunger and decision-making), and the effects of cognition on physiology (e.g. autonomic responses to memory featuring particularly aversive stimuli). To add physiology to a cognitive architecture, it should be represented as a separate module or substrate. We present ACT-R φ (ACT-R Phi), a connection of the physiology simulation system HumMod (Hester et al, 2011) and the cognitive architecture ACT-R (Anderson, 2007) using an newly created ACT-R module. A model of the startle response and its consequent effects on cognition and physiology is presented to demonstrate an example use of the new substrate. This extended version of ACT-R allows a user to computationally realize theories involving cognition, physiology, and their interaction. This architecture has potential applications to training simulations.
UR - http://www.scopus.com/inward/record.url?scp=84872464332&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872464332&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84872464332
SN - 9781622761739
T3 - 21st Annual Conference on Behavior Representation in Modeling and Simulation 2012, BRiMS 2012
SP - 75
EP - 82
BT - 21st Annual Conference on Behavior Representation in Modeling and Simulation 2012, BRiMS 2012
T2 - 21st Annual Conference on Behavior Representation in Modeling and Simulation 2012, BRiMS 2012
Y2 - 12 March 2012 through 15 March 2012
ER -