Small worlds and Red Queens in the Global Workspace: An information-theoretic approach

Cognitive Systems Research

Volumn 10, Issue 4, 2009, Pages 333-365

  Glazebrook, James F ^a   Wallace, Rodrick ^b  

^a EASTERN ILLINOIS UNIVERSITY   (United States)

^b NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

Author keywords

Cognition; Giant component; Global Workspace; Groupoid; Red Queen; Small world network

Indexed keywords

COGNITIVE NEUROSCIENCES; DYNAMIC STRUCTURE; EQUIVALENCE RELATIONS; GEOMETRIC REPRESENTATION; GEOMETRICAL METHODS; GLOBAL WORKSPACE; GLOBAL WORKSPACE THEORY; GROUPOID; GROUPOID ATLAS; HOLONOMY; INFORMATION-THEORETIC APPROACH; ONSAGER RELATIONS; PARALLEL MACHINE; SMALL WORLD NETWORKS; SMALL WORLDS; STATISTICAL PHYSICS; STRUCTURAL NETWORKS; SUB-NETWORK;

GRAPH THEORY; INFORMATION THEORY; PHASE TRANSITIONS; SET THEORY;

COGNITIVE SYSTEMS;

ALGORITHM; ARTICLE; COGNITION; CONSCIOUSNESS; HUMAN; LANGUAGE ABILITY; MATHEMATICAL ANALYSIS; MEMORY CONSOLIDATION; NERVE CELL NETWORK; NEUROPHYSIOLOGY; NEUROSCIENCE; NOISE; PHASE TRANSITION; PRIORITY JOURNAL; SOCIAL PSYCHOLOGY; SOCIOBIOLOGY; SOCIOECONOMICS; STATISTICAL MODEL; TASK PERFORMANCE;

EID: 70450151408     PISSN: None     EISSN: 13890417     Source Type: Journal    
DOI: 10.1016/j.cogsys.2009.01.002     Document Type: Article

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