Conscious agent networks: Formal analysis and application to cognition

Chris Fields, Donald D. Hoffman, Chetan Prakash, Manish Singh

Research output: Contribution to journalArticle

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Abstract

Networks of “conscious agents” (CAs) as defined by Hoffman and Prakash (2014) are shown to provide a robust and intuitive representation of perceptual and cognitive processes in the context of the Interface Theory of Perception (Hoffman, Singh and Prakash, 2015). The behavior of the simplest CA networks is analyzed exhaustively. The construction of short- and long-term memories and the implementation of attention, categorization and case-based planning are demonstrated. These results show that robust perception and cognition can be modelled independently of any ontological assumptions about the world in which an agent is embedded. Any agent-world interaction can, in particular, also be represented as an agent-agent interaction.

Original languageEnglish (US)
Pages (from-to)186-213
Number of pages28
JournalCognitive Systems Research
Volume47
DOIs
StatePublished - Jan 2018

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All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience
  • Artificial Intelligence

Keywords

  • Active inference
  • Complex networks
  • Computation
  • Learning
  • Memory
  • Planning
  • Predictive coding
  • Reference frame
  • Self representation
  • Turing completeness

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