Date of Award


Publication Type

Master Thesis

Degree Name



Computer Science

First Advisor

Kobti, Ziad


Applied sciences, Psychology, Affordance, Cognitive mobility behaviour, Human behaviour, Migration pattern, Path finding, Path prediction




Many advanced models are developed to predict human behaviour that explains human actions in some specific environment. This study refers to some of those models, such as work behaviour model which deals with the theory of purposeful work behaviour by agents in a work environment. Some behaviour models includes cognitive, emotional and social aspects of human behaviour such as PECS model. Some models deals with affordance theory which focuses on the relation between agent, his actions and his observations. All these models offer suitability towards the formation of a new computational model which identifies human behavioural aspects individually. Our new model provides an opportunity to observe human behaviour in social activity, such as migration and solves path prediction problem. The model is expected to resolve various hypothetical relations between the included behavioural aspects, which affect human actions in making path choice decisions. An agent based simulation on migration activity of artificial human societies is developed to test the applicability of the model. Some mobility patterns are calculated using this implementation on a known study area.