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.
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© 2008 International Federation for Information Processing
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Ierache, J., García-Martínez, R., De Giusti, A. (2008). Learning Life Cycle in Autonomous Intelligent Systems. In: Bramer, M. (eds) Artificial Intelligence in Theory and Practice II. IFIP AI 2008. IFIP – The International Federation for Information Processing, vol 276. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09695-7_46
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DOI: https://doi.org/10.1007/978-0-387-09695-7_46
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-09694-0
Online ISBN: 978-0-387-09695-7
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