Research Leader - Abdul Sattar
Overview
Representation and reasoning with knowledge about the real world, and learning from experience are considered to be the core of Intelligent Systems. This program brings together the knowledge representation and reasoning group from the Gold Coast campus and the machine-learning group from Nathan campus. The members of this group are currently engaged in investigating a range of research issues including smart personal assistants, learning algorithms, constraint satisfaction problems, commonsense reasoning, spatio-temporal reasoning, multi-agent systems, and cognitive robotics.
Research projects
- Modelling and Optimising Problems Involving Constraints;and
- Design and Developments of Theories, Architectures, Languages, Implementations and Applications of Rational Agents.