Model-based analysis of the Tower of London task
Mitsopoulos, Constantinos and Mareschal, Denis and Cooper, Richard P. (2015) Model-based analysis of the Tower of London task. In: Pineau, J. and Dayan, P. (eds.) Reinforcement Learning and Decision Making 2015. University of Alberta, pp. 198-202.
The planning process is central to goal-directed behaviour in any task that requires the organization of a series of actions aimed at achieving a goal. Although the planning process has been investigated thoroughly, relatively little is known about how this process emerges and evolves during childhood. In this paper we describe three reinforcement learning models of planning, in the Tower of London (ToL) task, and use Bayesian analysis to fit each model to pre-existing data from 3-4 year-old and 5-6 year-old children performing the task. The models all capture the increased organisation seen in the older children’s performance. It is also shown that, at least for this dataset, the most complex model – that with discounting of future rewards and pruning of highly aversive states – provides no additional explanatory power beyond a simpler discounting-only model. Insights into developmental aspects of the planning process are discussed.
|Item Type:||Book Section|
|Additional Information:||7-10 Jun 2015 - Edmonton, Canada|
|Keyword(s) / Subject(s):||Reinforcement Learning, Shaping Rewards, Planning, Tower of London|
|School:||Birkbeck Schools and Departments > School of Science > Psychological Sciences|
|Research Centre:||Educational Neuroscience, Centre for, Brain and Cognitive Development, Centre for (CBCD)|
|Depositing User:||Richard Cooper|
|Date Deposited:||11 Aug 2015 12:08|
|Last Modified:||09 Dec 2016 11:16|
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