Learning life cycle in autonomous intelligent systems

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Abstract

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. © 2008 International Federation for Information Processing.

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CITATION STYLE

APA

Ierache, J., Garcia-Martinez, R., & De Giusti, A. (2008). Learning life cycle in autonomous intelligent systems. In IFIP International Federation for Information Processing (Vol. 276, pp. 451–455). https://doi.org/10.1007/978-0-387-09695-7_46

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