Behavioural and neural evidence reveals a retrospective, model-free or habitual process that caches returns previously garnered from available choices, and a prospective, model-based or goal-directed one that putatively relies on mental simulation of the environment. There is much current interest in understanding how these faster and slower systems are integrated to take advantage of the beneficial computational properties of each. I will discuss current theoretical and experimental approaches on the resulting architecture of choice, and note some pressing concerns.
Find out more »This course investigates the field of political economy with an eye to establishing the subject on a scientific foundation as expounded by Henry George’s in his last book, The Science of Political Economy.
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Find out more »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 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. The starting point of the talk will be a sequential inference task that probes inference in changing environments, in humans. I will…
Find out more »Though neuroscientists have developed an exquisitely detailed understanding of the role of different brain regions in perceiving the external world, our understanding of the relevant functional modules that enable brains to plan based on internal models of the world is much more impoverished. Here Dr. Kable will argue for a broad division within the brain’s “default mode” between networks critical for the generation of internal simulations and mental models and networks involved in evaluating the outputs and results of such…
Find out more »1022 International Affairs Building (IAB)
Mail Code 3308
420 West 118th Street
New York, NY 10027