Agent-Based Model Heuristics in Studying Memory Mechanisms

This study is aimed at proposing an agent-based model formulated in (Ezhov & Khrennikov, 2005) and describing the emergence of specific binary memory codes in the system characterized by high inequality. The model is offered as a heuristic tool to predict a new competitive pair in the human brain’s memory localized in the hippocampus and prefrontal corteх, correspondingly. This model is able to account for the influence of sociological factors to the brain memory.

[1]  Gesellschaft für Klassifikation. Jahrestagung,et al.  Advances in Data Analysis, Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006 , 2007, GfKl.

[2]  Foundations for Complex Systems Research in the Physical Sciences and Engineering Report from an , 2009 .

[3]  A. Khrennikov,et al.  On Ultrametricity and a Symmetry Between Bose‐Einstein and Fermi‐Dirac Systems , 2006 .

[4]  L. M. Ricciardi,et al.  Brain and physics of many-body problems , 1967, Kybernetik.

[5]  Svetlana S. Terentyeva,et al.  Indications of a possible symmetry and its breaking in a many-agent model obeying quantum statistics. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Marina Schroder.  Algebra Of Conscience , 2016 .

[7]  Lorena R. R. Gianotti,et al.  Disruption of Right Prefrontal Cortex by Low-Frequency Repetitive Transcranial Magnetic Stimulation Induces Risk-Taking Behavior , 2006, The Journal of Neuroscience.

[8]  Christos H. Skiadas,et al.  Advances in Data Analysis , 2010 .

[9]  J. Grafman,et al.  Human prefrontal cortex: processing and representational perspectives , 2003, Nature Reviews Neuroscience.

[10]  Bruce J. West,et al.  An out-of-equilibrium model of the distributions of wealth , 2004, cond-mat/0403045.

[11]  L. Squire.  Memory systems of the brain: A brief history and current perspective , 2004, Neurobiology of Learning and Memory.

[12]  Richard Kershaw,et al.  Finance , 1892, Handbooks in operations research and management science.

[13]  Robin I. M. Dunbar,et al.  Processing power limits social group size: computational evidence for the cognitive costs of sociality , 2013, Proceedings of the Royal Society B: Biological Sciences.

[14]  Colin Camerer,et al.  Neural evidence for inequality-averse social preferences , 2010, Nature.

[15]  Joe Z. Tsien,et al.  The organizing principles of real-time memory encoding: Neural clique assemblies and universal neural codes , 2007, Neuroscience Research.

[16]  A. Khrennikov,et al.  Agents with left and right dominant hemispheres and quantum statistics. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  Jennifer Urbano Blackford,et al.  A unique role for the human amygdala in novelty detection , 2010, NeuroImage.

[18]  Tamas David-Barrett,et al.  Social elites can emerge naturally when interaction in networks is restricted , 2014 .

[19]  Rosario N. Mantegna,et al.  An Introduction to Econophysics: Contents , 1999 .

[20]  R. Poldrack,et al.  Competition among multiple memory systems: converging evidence from animal and human brain studies , 2003, Neuropsychologia.

[21]  L. Squire.  Memory and the hippocampus: a synthesis from findings with rats, monkeys, and humans. , 1992, Psychological review.

[22]  J. Easaw,et al.  Inequality, Democracy, and Institutions: A Critical Review of Recent Research , 2010 .

[23]  P. Boesiger,et al.  Imbalance between Left and Right Dorsolateral Prefrontal Cortex in Major Depression Is Linked to Negative Emotional Judgment: An fMRI Study in Severe Major Depressive Disorder , 2008, Biological Psychiatry.

[24]  石原 英樹.  Ultimatum Game と合理的選択 , 1998 .

[25]  Allison K. Krupa,et al.  The Competitive Nature of Declarative and Nondeclarative Memory Systems: Converging Evidence from Animal and Human Brain Studies , 2009 .