The Group's research is concerned with the theoretical principles of
artificial intelligence and their practical application to real-world
domains. Research focuses on five areas:
- Constraint programming to solve complex problems fully-automatically
- Multi-agent systems, investigating the dynamics of co-operation, co-ordination and the emergence of language in complex and dynamic environments
- Machine learning, especially Bayesian network learning, statistical relational learning, inductive logic programming and reinforcement learning
- Natural language processing, especially learning of grammar, morphology and semantics; question answering systems; entity recognition and dialogue systems; information retrieval
- Games and interactive drama using a wide range of artificial intelligence techniques
The Group's research is strongly interdisciplinary with links into
biology, human computer interaction, linguistics, psychology and
biochemistry.
The Artificial Intelligence group was formed, on the 1st October 1999, by the merger of the Intelligent Systems and Machine Learning groups.
We would be pleased to hear from researchers or potential postgraduate students who are interested in our work.
