Humans and other animals live in dynamic environments. To reliably manipulate the environment and attain their goals they would benefit from a constant modification of motor-responding based on responses' current… Click to show full abstract
Humans and other animals live in dynamic environments. To reliably manipulate the environment and attain their goals they would benefit from a constant modification of motor-responding based on responses' current effect on the current environment. It is argued that this is exactly what is achieved by a mechanism that reinforces responses which have led to accurate sensorimotor predictions. We further show that evaluations of a response's effectiveness can occur simultaneously, driven by at least two different processes, each relying on different statistical properties of the feedback and affecting a different level of responding. Specifically, we show the continuous effect of (a) a sensorimotor process sensitive only to the conditional probability of effects given that the agent acted on the environment (i.e., action-effects) and of (b) a more abstract judgement or inference that is also sensitive to the conditional probabilities of occurrence of feedback given no action by the agent (i.e., inaction-effects). The latter process seems to guide action selection (e.g., should I act?) while the former the manner of the action's execution. This study is the first to show that different evaluation processes of a response's effectiveness influence different levels of responding.
               
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