A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture – Supplement

Leibovitz, D. P. (2013). A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture – Supplement, pp. xv-467. Carleton University. [doi10.13140/RG.2.1.4506.4161] (PDF)

Abstract: Leibovitz (2013) Thesis - SupplementThis is supplemental material for the eight cognitive models and forty two tests of a thesis named “A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture”. This supplement contains detailed information about computational test subjects, stimuli, and results. The thesis contains extracts from the information contained herein. The models and tests are listed in the same order as in the thesis and with the same chapter/appendix identifiers. Continue reading

A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture – Animated Test Results

Leibovitz, D. P. (2012) A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture – Animated Test Results. Retrieved September 7, 2015 from http://emergic.upwize.com/?page_id=26.

Abstract: Animated results for the cognitive models within a thesis named “A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture“.

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Emergic Network

Leibovitz, D. P. (2011) Emergic Network. Published as open sourced code. Retrieved September 7, 2015 from http://emergic.upwize.com/?page_id=6.

Leibovitz, D. P.. (2016) Emergic. Published as open sourced code. Retrieved November 15, 2016 from http://pypi.python.org/pypi/Emergic.

Leibovitz, D. P.. (2016) Emergic. Published as open sourced code. Retrieved November 15, 2016 from http://github.com/dpleibovitz/Emergic.

Abstract: Here you can find tEmergic Network Examplehe software to run an Emergic Network (EN). Installation instructions are also included.

Related Publications:

Leibovitz, D. P. (2013). A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture (Doctoral dissertation). Carleton University. Retrieved from http://dpleibovitz.upwize.com/?p=189.

Leibovitz, D. P., & West, R. L. (2012) (Extended 2 page abstract). Cognitive Re-Use via Emergic Networks. 11th International Conference on Cognitive Modeling (ICCM 2012) (pp. 72-73). Berlin, Germany.

Leibovitz, D. P., & West, R. L. (2012). Cognitive Re-Use via Emergic Networks. 11th International Conference on Cognitive Modeling (ICCM 2012). Berlin, Germany. Poster Presentation.

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Training Strategies in an SRNN

Leibovitz, D. P. (2006) Training Strategies in an SRNN. Working Paper, pp. 1-5. Carleton University. [doi: 10.13140/RG.2.1.2035.2483] (pdf)

Leibovitz (2006) Training Strategies in an SRNNAbstract: The effects of various training strategies are investigated on a Simple Recurrent Neural Network (SRNN) that learned to emulate an 8-Digit up/down/resettable counter.

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