Rational and mechanistic perspectives on reinforcement learning.

@article{Chater2009RationalAM,
  title={Rational and mechanistic perspectives on reinforcement learning.},
  author={Nick Chater},
  journal={Cognition},
  year={2009},
  volume={113 3},
  pages={350-64}
}
This special issue describes important recent developments in applying reinforcement learning models to capture neural and cognitive function. But reinforcement learning, as a theoretical framework, can apply at two very different levels of description: mechanistic and rational. Reinforcement learning is often viewed in mechanistic terms--as describing the operation of aspects of an agent's cognitive and neural machinery. Yet it can also be viewed as a rational level of description… CONTINUE READING
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