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A set of different goal-directed actions can be generated by the sensory forward model by utilizing the initial sensitivity characteristics of its acquired forward dynamics. The analyses on our robotics experiments show qualitatively how generalization in learning can be achieved for situational variances, and how the top-down intention toward a specific goal state can reconcile with the bottom-up sensation from reality.<\/jats:p>","DOI":"10.1177\/1059712308089185","type":"journal-article","created":{"date-parts":[[2008,3,14]],"date-time":"2008-03-14T12:59:20Z","timestamp":1205499560000},"page":"166-181","source":"Crossref","is-referenced-by-count":28,"title":["Learning Multiple Goal-Directed Actions Through Self-Organization of a Dynamic Neural Network Model: A Humanoid Robot Experiment"],"prefix":"10.1177","volume":"16","author":[{"given":"Ryunosuke","family":"Nishimoto","sequence":"first","affiliation":[{"name":"Brain Science Institute, RIKEN, Saitama, Japan,"}]},{"given":"Jun","family":"Namikawa","sequence":"additional","affiliation":[{"name":"Brain Science Institute, RIKEN, Saitama, Japan,"}]},{"given":"Jun","family":"Tani","sequence":"additional","affiliation":[{"name":"Brain Science Institute, RIKEN, Saitama, Japan,"}]}],"member":"179","published-online":{"date-parts":[[2008,4,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"crossref","unstructured":"Arbib, M. 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