{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T18:22:03Z","timestamp":1648837323333},"reference-count":18,"publisher":"World Scientific Pub Co Pte Lt","issue":"02n03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advs. Complex Syst."],"published-print":{"date-parts":[[2013,5]]},"abstract":" Self-organization, especially in the framework of embodiment in biologically inspired robots, allows the acquisition of behavioral primitives by autonomous robots themselves. However, it is an open question how self-organization of basic motor primitives and goal-orientation can be combined, which is a prerequisite for the usefulness of such systems. In the paper at hand we propose a goal-orientation framework allowing the combination of self-organization and goal-orientation for the control of autonomous robots in a mutually independent fashion. Self-organization based motor primitives are employed to achieve a given goal. This requires less initial knowledge about the properties of robot and environment and increases adaptivity of the overall system. A combination of self-organization and reward-based learning seems thus a promising route for the development of adaptive learning systems. <\/jats:p>","DOI":"10.1142\/s0219525913500021","type":"journal-article","created":{"date-parts":[[2013,3,18]],"date-time":"2013-03-18T07:03:34Z","timestamp":1363590214000},"page":"1350002","source":"Crossref","is-referenced-by-count":0,"title":["A GOAL-ORIENTATION FRAMEWORK FOR SELF-ORGANIZING CONTROL"],"prefix":"10.1142","volume":"16","author":[{"given":"FRANK","family":"HESSE","sequence":"first","affiliation":[{"name":"Bernstein Center for Computational Neuroscience G\u00f6ttingen and III. Physics Institute - Biophysics, Georg-August-Universit\u00e4t, Friedrich-Hund-Platz 1, 37077 G\u00f6ttingen, Germany"}]},{"given":"FLORENTIN","family":"W\u00d6RG\u00d6TTER","sequence":"additional","affiliation":[{"name":"Bernstein Center for Computational Neuroscience G\u00f6ttingen and III. Physics Institute - Biophysics, Georg-August-Universit\u00e4t, Friedrich-Hund-Platz 1, 37077 G\u00f6ttingen, Germany"}]}],"member":"219","published-online":{"date-parts":[[2013,7,16]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2004.05.006"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1007\/s12064-001-0017-9"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1177\/105971230601400202"},{"key":"rf4","volume-title":"The Playful Machine - Theoretical Foundation and Practical Realization of Self-Organizing Robots","author":"Der R.","year":"2012"},{"key":"rf5","unstructured":"H.\u00a0Guo and Y.\u00a0Meng, Dynamic Correlation Matrix Based Multi-Q Learning for a Multi-Robot System (IEEE, 2008)\u00a0p. 201."},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1142\/S0219525909002258"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.3390\/a2010398"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1109\/CIRA.2009.5423227"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74913-4_77"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1159\/000093690"},{"key":"rf14","volume-title":"Chaos in Dynamical Systems","author":"Ott E.","year":"1993"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1016\/S0921-8890(01)00114-2"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1126\/science.1145803"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.2976\/1.3233933"},{"key":"rf18","volume-title":"Nonlinear Dynamics and Chaos","author":"Strogatz S. H.","year":"2001"},{"key":"rf19","doi-asserted-by":"crossref","DOI":"10.1109\/TNN.1998.712192","volume-title":"Introduction to Reinforcement Learning","author":"Sutton R. S.","year":"1998"},{"key":"rf20","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(02)00214-9"},{"key":"rf23","doi-asserted-by":"publisher","DOI":"10.4249\/scholarpedia.1448"}],"container-title":["Advances in Complex Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219525913500021","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T03:29:01Z","timestamp":1565148541000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219525913500021"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,5]]},"references-count":18,"journal-issue":{"issue":"02n03","published-online":{"date-parts":[[2013,7,16]]},"published-print":{"date-parts":[[2013,5]]}},"alternative-id":["10.1142\/S0219525913500021"],"URL":"https:\/\/doi.org\/10.1142\/s0219525913500021","relation":{},"ISSN":["0219-5259","1793-6802"],"issn-type":[{"value":"0219-5259","type":"print"},{"value":"1793-6802","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,5]]}}}