Mathematical Models of Cognitive Behaviour

Avon Gorge Hotel, Bristol
MAP
November 9th, 2007 (9am - 6pm)
Workshop of the Pascal Network of Excellence and the euCognition Network

Probabilistic approaches to Artificial Intelligence have become mainstream in the past decade. Statistical methods are routinely used in machine learning, machine translation, machine vision, speech recognition. We are interested in applying this methodology to the more general problem of modeling cognitive systems.
The theoretical focus of this workshop is to model cognitive abilities as forms of probabilistic inference. In particular we want to focus on statistical and reactive models of cognitive behaviour.
The idea is to present recent models of natural cognitive systems together with recent advances in modeling of artificial cognitive systems, and discuss of relations.
Learning, decision making, perception, and goal-seeking are significant aspects of cognitive behavior that will be covered, within the mathematical framework of probabilistic AI.

Preliminary Programme

9am arrival / coffee

9.15: am: Opening and welcome (Nello Cristianini)

9.30am -11.00am

Richard Gregory University of Bristol
TBA

Alan Roberts University of Bristol
Simple Nervous Systems

11am-11.30am coffee break

11.30am-1.00pm

Dennis Bray, University of Cambridge
Bacterial Chemotaxis

James Marshall ,
Nigel Franks University of Bristol
Collective Decision-Making in Social Insect Colonies

1pm-2pm Lunch

2pm-3.30pm

Alan Winfield, University of West of England,
Robot Behaviour

Chris Watkins Royal Holloway, University of London
Behavioural Learning and Evolution: what can we deduce from first
principles about behavioural learning, given that behaviour is
evolved?

3.30pm-4pm Coffee

4pm - 4.3pm: Pete Trimmer, University of Brsitol
Mammalian Decisions: Combining Subsystems

4.30 - 5pm Nick Chater University College London
General principles of cognition

5pm -6pm Panel Discussion:

Tom Troscianko , John Shawe-Taylor,
Nello Cristianini, ... (more)

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