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The term action schema(s) refers to a central concept of Piagetian epistemology and intellectual development as well as to a variety of techniques and languages for modeling sequential decision-making problems within the realm of machine learning and artificial intelligence (AI). In both fields of application, the basic assumption is that intelligent systems are active beings, that impact consciously and intentionally their environments. As a means of action regulation, the schema of an action is defined as the structured whole of the universalized characteristics of this action, i.e., the characteristics which enable intelligent systems to repeat the action and apply it to new contents. Closely related with actions schemas is the concept of action slips defined as the performance of actions which are not intended but carried out.
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Seel, N.M. (2012). Action Schemas. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1428-6_356
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