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Learning life cycle in autonomous intelligent systems

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Ierache, Jorge Salvador

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Summary: Autonomous Intelligent Systems (AIS) integrate planning, learning, and execution in a closed loop, showing an autonomous intelligent behavior. A Learning Life Cycle (LLC) for AISs is proposed. The LLC is based on three different learned operators layers: Built-In Operators, Trained Base Operators and World Interaction Operators. The extension of the original architecture to support the new type of operators is presented.

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Item type	Home library	Collection	Call number	URL	Status	Date due	Barcode
Capítulo de libro	Biblioteca de la Facultad de Informática	Biblioteca digital	A0343 (Browse shelf(Opens below))	Link to resource	No corresponde

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Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)

Autonomous Intelligent Systems (AIS) integrate planning, learning, and execution in a closed loop, showing an autonomous intelligent behavior. A Learning Life Cycle (LLC) for AISs is proposed. The LLC is based on three different learned operators layers: Built-In Operators, Trained Base Operators and World Interaction Operators. The extension of the original architecture to support the new type of operators is presented.

Artificial Intelligence in Theory and Practice II IFIP: 20ª World Computer Congress, TC 12: IFIP AI 2008 Stream, Sep. 7-10, 2008, Milano, Italy. (The International Federation for Information Processing 276), pp. 451-455.