Author(s)

G. Silverman

Abstract

The ability to quantify human behaviours is a foundation for being able to develop computer programs emulating intelligence (i.e., Artificial Intelligence (AI)). The implications for understanding intelligence can aid in the development of assist devices for medical intervention (e.g., Rehabilitation Medicine) and as models for robotic devices. Actions taken by human subjects are an integration of internal stimuli (idiothetic) and external (allothetic) stimuli. Learned (new) behaviours originate from existing behaviours. Complex skilled human behaviour is described as an integration of simple skills. An experiment is described to study this phenomenon. As modelled here, cognitive motor behaviour requires a subject to view a series of stimuli and make appropriate responses. Overall behaviour is modelled as a combination of a Memory process and a Response (Motor) process. Response latency, learning records are derived from this motor learning experiment. A non-linear model is proposed and a Monte-Carlo simulation is used to evaluate consistency with the experimental results. Keywords: cognitive science, deliberative learning, motor response, stochastic model of cognitive motor behaviour. 1 Introduction Cognitive science is the interdisciplinary study of the mind. Its primary methodology is scientific although many additional methods contribute, including those from philosophy, psychology, linguistics, AI, robotics and neuroscience. Each of these endeavours carries with it a unique set of tools and

Keywords

cognitive science, deliberative learning, motor response, stochastic model of cognitive motor behaviour.