On information-optimal scripting of actions

Riegler, Bente and Polani, Daniel (2019) On information-optimal scripting of actions. In: Alife 2019 : Proceedings of the Artificial Life Conference 2019. MIT Press, GBR, pp. 624-625.
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Animals and humans encounter many tasks which permit ritualized behaviours, essentially fixed action sequences or “scripts”, similar to options known from Reinforcement Learning, but proceeding without intermediate decisions. While running a script, they proceed in an open-loop fashion. However even when these are already known, an agent needs to decide whether to perform a basic action or to trigger a script regarding the particular task. Here we study if including such scripts (i.e. behaviour rituals) is advantageous from the point of view of the relevant information required to take the decision to start such a script depending on the tasks. To achieve this, we modify the relevant information framework including sequences of basic actions to the possible actions.


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