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r the various cognitively-relevant properties of the environment from looking at data about the ev- eryday world. We agree in principle, and in fact Ben Kuipers and his colleagues have done some interesting work in this direction, showing that learning algorithms can infer some basics about the structure of
of as a moment of cognition, a cognitive "moment"." 4.5.8 The Global Workspace LIDA is heavily based on the "global workspace" concept developed by Bernard Baars. As this concept is also directly relevant to CogPrime it is worth briefly describing here. In essence Baars' Global Workspace Theory (GWT) is a pa
igurations that carry out sensorimotor and categorization tasks. The emergence of higher-level cognition from this approach seems rather unlikely. e Ben Kuipers and his colleagues [MK07, MIX08, MIXO09]have pursued an extremely innovative research program which combines qualitative reasoning and reinforcement
ems due to the lack of a more structured high-level cognitive architecture. e LIDA [BF09] is a comprehensive cognitive architecture heavily based on Bernard Baars’ “Global Workspace Theory”. It articulates a “cognitive cycle” integrating various forms of memory and intelligent processing in a single processing
er the various cognitively-relevant properties of the environment from looking at data about the ev- eryday world. We agree in principle, and in fact Ben Kuipers and his colleagues have done some interesting work in this direction, showing that learning algorithms can infer some basics about the structure of s
of as a moment of cognition, a cognitive "moment"." 4.5.8 The Global Workspace LIDA is heavily based on the “global workspace” concept developed by Bernard Baars. As this concept is also directly relevant to CogPrime it is worth briefly describing here. In essence Baars’ Global Workspace Theory (GWT) is a par
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