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  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
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About: Model of hierarchical complexity     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:Thinking105770926, within Data Space : dbpedia.org associated with source document(s)

Type: softwareyago:WikicatStageTheoriesyago:Abstraction100002137yago:Cognition100023271yago:Explanation105793000yago:HigherCognitiveProcess105770664yago:Process105701363yago:PsychologicalFeature100023100yago:Theory105989479yago:Thinking105770926 New Facet based on Instances of this Class

The model of hierarchical complexity (MHC) is a framework for scoring how complex a behavior is, such as verbal reasoning or other cognitive tasks. It quantifies the order of hierarchical complexity of a task based on mathematical principles of how the information is organized, in terms of information science. This model was developed by Michael Commons and Francis Richards in the early 1980s.