Connectionist Models Of Cognition

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• Can Connectionist Models Of Individual Cognition And Learningquestion0.897
• Connectionist models of cognition and learning identify conditions where collective intelligence can arise bottom-up, using only distributed learning mechanisms without system-level or global feedback.claim0.858
  Central claim about the power of connectionism.
• Connectionist Machine Learningframework0.843
  Analogous framework for understanding how higher-level information arises from lower-level components in a collective system.
• The ability to represent relationships (e.g. correlations or associations) among variables, rather than a system of independent variables, is essential for any connectionist model of cognition.claim0.835
  Necessary condition for connectionist cognition.
• Connectionist models can exhibit learning bottom-up, without centralised control or an external teacher, and without any performance feedback applied at the system level.claim0.798
  Key property of distributed unsupervised learning.
• Connectionismconcept0.788
  Central framework proposing intelligence resides in organization of relationships between components, not in individual parts; used to unify individual and collective intelligence.
• Connectionist Learning Frameworkframework0.788
• The application of connectionist models also extends into the domain of evolutionary systems, where the connections of a network are changed by variation and selection.claim0.785
  Formal equivalence between evolutionary variation/selection and connectionist learning.