Degree Name

Doctor of Philosophy


School of Computing and Information Technology Faculty of Engineering and Information Sciences


Behaviour adaptation is a critical desideratum in almost all kinds of computational machinery. The challenge is to address the limitations of pre-programmed behaviour, which cannot anticipate the potentially vast range of possible situations in which that behaviour would need to be deployed or the potential adversarial behaviour of other entities in the operating context. This dissertation seeks to address this challenge in the context of two currently popular classes of computational machinery: intelligent agents and business processes.



Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.