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Bangor University: Artificial Intelligence and Intelligent Agents
| Institution | Bangor University View institution profile |
|---|---|
| Department | School of Computer Science and Engineering View department profile |
| Web | https://www.bangor.ac.uk |
| Study type | Research |
Summary
Research topics include knowledge-based systems, logic, multi-agent systems, distributed systems, machine learning, data mining, computational linguistics, natural language processing, information theory and information retrieval. A central goal of the research is to develop intelligent agents, which have weak properties such as autonomy, social ability, reactivity, proactivity, temporal continuity and goal orientedness as well as strong properties such as mobility, benevolence, rationality, collaborative ability and adaptivity. Past and current projects include knowledgeable agents, text mining, text categorization, question/answering, biomedical Information Retrieval systems, Welsh-English translation, believable agents (e.g. chatbots), and artificial life agents.
Doctor of Philosophy - PhD
| Level | RQF Level 8 |
|---|---|
| Entry requirements | A good honours degree or equivalent is required. |
| Location | Bangor Campus Bangor Campus Bangor (Wales) LL57 2DG |
| Level | RQF Level 8 |
|---|---|
| Entry requirements | A good honours degree or equivalent is required. |
| Location | Bangor Campus Bangor Campus Bangor (Wales) LL57 2DG |
Master of Philosophy - MPhil
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good honours degree or equivalent is required. |
| Location | Bangor Campus Bangor Campus Bangor (Wales) LL57 2DG |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good honours degree or equivalent is required. |
| Location | Bangor Campus Bangor Campus Bangor (Wales) LL57 2DG |
Welcome to the School of Computer Science and Engineering
Opportunities abound for students wishing to learn about the latest developments in computing and electronic technologies at Bangor University. We have a great reputation for helpful, caring staff who undertake world-leading research. We have around 400 undergraduate students and our graduate school boasts 200+ students across all our disciplines.
Research excellence
Our staff figure among the world leaders in a broad range of technologies, from Artificial Intelligence and Pattern Recognition to Data Visualisation; Medical Microwave Electronics and Medical Simulation; Optolectronics, Broadband and Optical Communications; Organic Electronics; Nanotechnology; Nuclear Engineering and more. …
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