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MODELING GOAL-ORIENTED DECISION MAKING THROUGH COGNITIVE PHASE TRANSITIONS

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Publication:3620270
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DOI10.1142/S1793005709001246zbMath1163.92007OpenAlexW2030980747MaRDI QIDQ3620270

Leonid I. Perlovsky, Marko Puljic, Robert Kozma

Publication date: 14 April 2009

Published in: New Mathematics and Natural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1793005709001246

zbMATH Keywords

decision theorymetastabilityneurodynamicsneuropercolation


Mathematics Subject Classification ID

Random graphs (graph-theoretic aspects) (05C80) Neural biology (92C20) Dynamical systems in biology (37N25) Reasoning under uncertainty in the context of artificial intelligence (68T37) Cognitive psychology (91E10)




Cites Work

  • Unnamed Item
  • Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions
  • Statistical mechanics of complex networks
  • Large deviations for mean field models of probabilistic cellular automata
  • Complex Systems: Chaos and Beyond
  • Collective dynamics of ‘small-world’ networks
  • Neural networks and physical systems with emergent collective computational abilities.
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