MOSAIC Model for Sensorimotor Learning and Control

DOI10.1162/089976601750541778zbMath0984.68151OpenAlexW2097815751WikidataQ48779493 ScholiaQ48779493MaRDI QIDQ2762421

Daniel M. Wolpert, Mitsuo Kawato, Masahiko Haruno

Publication date: 12 May 2002

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976601750541778

zbMATH Keywords

modular selection and identification for controlMOSAIC architecture

Mathematics Subject Classification ID

Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

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Cites Work

• On-line estimation of hidden Markov model parameters based on the Kullback-Leibler information measure
• Adaptive control using multiple models
• A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains

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