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Various approaches to online inference - human behavior and theoretical models
In natural settings, we make decisions based on streams of partial and noisy information. Arguably, we summarize the perceived information into a probabilistic model of the world, which we can exploit to make predictions and decisions. This talk will explore such ‘mental models’ in the context of idealized tasks that can be carried out in the laboratory and modeled quantitatively. I shall describe results from behavioral experiments on human subjects, and propose several theoretical approaches that may capture the sub-optimal and noisy behavior quantified in humans. These will range from phenomenological to normative approaches. Overall, the analyses indicate that humans may simplify the internal process that leads to a prediction or decision at the cost of using subjective, reduced, and noisy representations of their environment.
Date:
15 February 2019, 13:15
Venue:
Le Gros Clark Building, off South Parks Road OX1 3QX
Venue Details:
Lecture Theatre
Speaker:
Dr Rava Azeredo da Silveira (ENS Ecole Normale Superieure, Paris)
Organisers:
Dr Friedemann Zenke (University of Oxford),
Dr Tim Vogels
Part of:
Oxford NeuroAI Forum
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Friedemann Zenke
