Knowledge representation and decision making: A hybrid approach

Abstract

Knowledge representation is a fundamental issue in the simulation of human performance such as the behaviour of a pilot engaged in air combat. Interaction between symbolic and subsymbolic networks is used in a cognitive architecture to represent the effects of emotional and motivational processes on decision making. This enables a shift from the conventional focus of combat simulation on optimal decision making to the modelling of authentic human decision making with its individual variability and imperfection.

This research is supported in part by the Aircraft Systems Division of the Aeronautical Research Laboratory, Defence Science and Technology Organisation, Australia.