For more information, visit the event page on the
Imperial College London website:
http://www3.imperial.ac.uk/newsandeventspggrp/imperialcollege/eventssummary/event_8-12-2015-13-34-9
Debates, dilemmas and conflicts are key to human reasoning. They help us make sense of everyday life when decisions need to be taken with inconsistent or incomplete information. This is why we expect our doctors to weigh up different courses of treatment, and why we check various online opinions before we buy anything from books to cars.
If we are ever to value the advice of machines we need to empower them to argue. This requires in particular to give them a way to reason with general rules that admit exceptions so that they know how to reconcile conflicts in general statements such as 'bird fly' (except when they don't) or it is safer to walk rather than run during a fire alarm (except when it isn't).
Francesca
Toni is working on models of logic-based argumentation to underpin reasoning in intelligent machines. In her inaugural lecture she will explore challenges of arguing logically and the impact getting it right could have in medical decision making, legal judgements, design engineering and social networks.
Interact on social media via the hashtag #machineadvice
Biography
Francesca Toni is
Professor in Computational
Logic in the
Department of Computing, Imperial College London, UK, where she is the funder and leader of the CLArg(Computational Logic and
Argumentation) research group. Her research interests lie within the broad area of
Knowledge Representation and Reasoning in
Artificial Intelligence, and in particular include Argumentation, Logic-Based Multi-Agent
Systems,
Logic Programming for Knowledge Representation and Reasoning, Non-monotonic and
Default Reasoning.
She graduated, summa cum laude, in Computing, at the
University of Pisa,
Italy, in
1990, and received her PhD in Computing in
1995, from Imperial College London. She has coordinated two EU projects, received funding from
EPSRC and the EU, and awarded a
Senior Research Fellowship from
The Royal Academy of Engineering and the
Leverhulme Trust.
- published: 04 Mar 2016
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