Much work in concept representation in Artificial Intelligence focuses on crisp high-level descriptions, often using logics. This allows for reasoning which is useful in certain applications. While this captures part of human abilities, there is much more: Humans can imagine instantiations of concepts and simulate them right down to the perceptual level, allowing similarities to be found which are not apparent at the high level (e.g. to facilitate analogical reasoning, like a paper can potentially act as a container). Humans can have intuitions about vague similarities between things, which guide many decisions. Humans can switch perspectives to see a situation in a different way if the need arises; i.e. the concepts applied have loose definitions that can be forced to fit situations. These abilities seem to require concepts which have: multiple alternative representations, a certain fluidity in application, and also a compositional nature, such that constituent parts of a concept have some fragment of meaning in their own right. For example a frying pan can be used to transfer liquid, or to bash someone; a paper can be used to write on or to start a fire, or to wrap some rice to carry it somewhere (this kind of creative use will not be given by a standard ontology). This project will build a more human-like representation of a set of early concepts; it will aim at toddler concepts, and study their development. This project will build a computer system for conceptual reasoning, which builds on cognitive science works that provide alternative views of concepts. While these existing works generally work in toy domains with artificial data, we will do reasoning with real data in computer vision and robotics. Although the project is to be based at Aberdeen, we will collaborate with robotics and vision experts outside Aberdeen.
The successful candidate should have (or expect to have) a UK Honours Degree (or equivalent) at 2.1 or above in Computer Science or Informatics. Other closely related backgrounds can also be considered, like Engineering or Mathematics with computer algorithms experience (e.g. in Matlab).
Knowledge: Important: programming ability (in any language) Also Desirable: some knowledge of any of: machine learning, basic robotics, computer vision, cognitive science
APPLICATION PROCEDURE: This project is advertised in relation to the research areas in the discipline of Computing Science. Formal applications can be completed online: http://www.abdn.ac.uk/postgraduate/apply. You should apply for PhD in Computing Science, to ensure that your application is passed to the correct College for processing. NOTE CLEARLY THE NAME OF THE SUPERVISOR and EXACT PROJECT TITLE ON THE APPLICATION FORM.
Informal inquiries can be made to Dr F Guerin ([email protected]) with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Graduate School Admissions Unit ([email protected]).
There is no funding attached to this project, it is for self-funded students only