Houpt, Joseph W.

Townsend, James T.

English

CORE

From Deep Space 9 to the Gamma Quadrant!

Wright State University CORE Scholar Psychology Faculty Publications Psychology 7-16-2011 From Deep Space 9 to the Gamma Quadrant! James T. Townsend Joseph W. Houpt Wright State University - Main Campus, joseph.houpt@wright.edu Follow this and additional works at: https://corescholar.libraries.wright.edu/psychology  Part of the Cognition and Perception Commons, Cognitive Psychology Commons, Quantitative Psychology Commons, and the Statistical Models Commons Repository Citation Townsend, J. T., & Houpt, J. W. (2011). From Deep Space 9 to the Gamma Quadrant!. The 44th Annual Meeting of the Society for Mathematical Psychology. https://corescholar.libraries.wright.edu/psychology/10 This Presentation is brought to you for free and open access by the Psychology at CORE Scholar. It has been accepted for inclusion in Psychology Faculty Publications by an authorized administrator of CORE Scholar. For more information, please contact library-corescholar@wright.edu. From Deep Space 9 to the Gamma Quadrant! James T. Townsend Joseph W. Houpt INDIANA UNIVERSITY B.LOOIIINGTON Math Psych '11 Medford , MA July 16, 2011 General Recognition Theory Content Fields Converging Evidence from Neuroscience Topological & Geometric Underpinnings Distributional Assumptions Evolution into Global Perception-Cognition-Action Metasystem Synthesis of GRT with Systems Factorial Technology Theory of Failures of Independence Content Fields Perception - Multidimesional Categorization Decision Making Short-Term and Long-Term Memory Language and Speech Neural underpinnings Converging E ~ceDorsa 1 / Ventra I Categorization from Neurosc nee Independence Continuous Dimensions Topologi~a I & <Geometnc Underpinnings Discrete Features < Distribution Free Distribut!onal Assu m pttons Para metric Parametric Appropriate Domains for Gaussian Distributions Summary Statistics (e.g., MDSA) Bayesian Approaches Model Fitting " GRT ., D1stnbuttona! Assumptions Psychometric links Model Fitting Genera I Mathematica I Statistics Complexity Theory " GRT ., D1stnbuttona! Assumptions ~ Parametnc Evolution into a Global StochasticPerception-Cognition-Action DynamicsMetasystem Stochastic Linear < SystemsStochastic Dynamics General Deterministic Deterministic Linear Systems Systems • GRT • Evolut1on Architecture Synthesis of GRT wit•~ Capacity vis-a-vis d' ~stems Facto ria I Tech no logy Selective Influence Perceptual Separability Independence Perceptua I Independence Decisional Separabilit Theory of ~	 Configurality Failures of Independence 	 Information Theory and Interactions (Optimal Coding) Thank youl Slides available at: mypage iu edu/rvjhouptj0eep5pace9_pdf 

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From Deep Space 9 to the Gamma Quadrant!

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