Architectural considerations for modeling cognitive-emotional decision making

Architectural considerations for modeling cognitive-emotional decision making

Lotens, W.A.
Cain, B.

Kennedy, W.G. (editor)
St. Amant, R. (editor)
Reitter, D. (editor)

2013

There are numerous conceptual similarities between affective and rational decision making functions despite the differences between the emotional and cognitive systems. Aspects of emotion may be considered as a concurrent stream of information processing that is coupled with explicit, rational information processing. The advantage of the affective system is the increased speed with which previously gained knowledge is applied in decision making, although it may be accompanied by a speed-accuracy trade-off. Affect and the subsequent emotions may be conceptualized as goal oriented despite their non-rational reputation. Cognitive and human factors architectures may already form a convenient base for inclusion of emotion in operational decision making in this conceptualization, but many hurdles have to be taken, such as proper integration with other human factors, behaviour selection, avoiding unnecessary model complexity and exploiting re-usability of previous modeling efforts. This paper is intended to stimulate the discussion on architectures that could be adopted by researchers from different fields.

Human
TPI - Training & Performance Innovations
BSS - Behavioural and Societal Sciences
Psychology
Defence, Safety and Security
Emotion modelling
Cognitive architectures
Decision making
Behaviour
Human modelling
Goal-oriented
Model complexity
Operational decision making
Rational decision making
Architecture
Cognitive systems
Computer simulation
Data processing
Decision making
Human engineering
Rational functions

http://resolver.tudelft.nl/uuid:ea7c3b90-52d8-48d6-8f16-41e3f5041e86

477677

Proceedings of the 22nd Annual Conference on Behavior Representation in Modeling & Simulation. Ottawa, Canada: BRIMS Society, 147-154

conference paper