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^"permissions":^"read":ӶӺ,"update":ӶӺ,"delete":ӶӺ,"admin":ӶӺ°,"user":^"id":6,"name":"Sarah Oberbichler"°,"id":"Sy6tr29vzx","ranges":Ӷ^"start":"/divӶ3Ӻ/divӶ4Ӻ/divӶ1Ӻ/pӶ12Ӻ","startOffset":0,"end":"/divӶ3Ӻ/divӶ4Ӻ/divӶ1Ӻ/pӶ12Ӻ","endOffset":736°Ӻ,"quote":"A more sophisticated system will have a hierarchical arrangement in which the reference values on one level are adjusted by a control system on another level. (See, for instance, Powers, 1973). In arrangements of this sort, it will be the goal of one level to set the goal for another.\nMore important is the fact that the feedback model as I have so far described it does not provide for any form of learning. There are different ways of learning that can be incorporated in cybernetic models (Powers, 1973; McFarland, 1971), and one of them is, in principle, an implementation of the age-old process of inductive inference. This was first suggested by Kenneth Craik in the early 1940s and then practically applied by Ross Ashby (1970).","highlights":Ӷ^"jQuery321087843971429911642":^°°Ӻ,"text":"","order":"mw-content-text","category":"WissenschaftlicheReferenz2","data_creacio":1561218834821°
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