Year
2018
Degree Name
Doctor of Philosophy
Department
School of Computing and Information Technology Faculty of Engineering and Information Sciences
Abstract
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.
Recommended Citation
Gou, Yingzhi, A computational framework for behaviour adaptation: the case for agents and business processes, Doctor of Philosophy thesis, School of Computing and Information Technology Faculty of Engineering and Information Sciences, University of Wollongong, 2018. https://ro.uow.edu.au/theses1/406
FoR codes (2008)
080101 Adaptive Agents and Intelligent Robotics, 170202 Decision Making
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.