Doctor of Philosophy
School of Computer Science and Software Engineering
Dasgupta, Aniruddha, Integrating optimization and preference handling in agent programming frameworks, Doctor of Philosophy thesis, School of Computer Science and Software Engineering, University of Wollongong, 2012. https://ro.uow.edu.au/theses/3671
There has been considerable amount of research in the recent past on multi-agent systems (MAS) by researchers in the area of Artificial Intelligence. The Belief-Desire- Intention (BDI) software model is a software model developed for programming intelligent agents. It uses the concepts of agent's beliefs, desires and intentions to solve a particular problem in agent programming and provides a mechanism for separating the activity of selecting a plan from the execution of currently active plans. The BDI model provides a theoretical foundation for some of the essential features of autonomous agents and multi-agent systems.
For many applications, it is more convenient to let the user provide in real time, a more elaborate specification consisting of constraints and preferences over possible goal states. Then, let the system discover a plan for the most desirable among the feasible goal states. Although there has been considerable research in developing BDI based agent systems and languages, limited work has been done in developing BDI systems where users can specify explicit objectives and preferences in real time. In this thesis I provide extensions to BDI-based agent-oriented programming languages which help the agent in its decision making process. I integrate constraint logic programming into the BDI framework to provide the agent with enough autonomy to make measured and deliberative decisions in a constantly changing, dynamic environment. I further extend this framework to incorporate c-semiring based structure to capture user preferences.