Leibovitz, D. P. (2018) Emergic Modeling. Lecture first given to the “PSYC 4700B/5700: Cognitive Modeling” class, Carleton University, pp 1-40, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.2.30001.28002] (pdf)
Abstract: Unifying modeling and its philosophizing.
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Leibovitz, D. P., West, R. L. & Belanger, M. (2014) WikiSilo: A Self-organizing, Crowd Sourcing System for Interdisciplinary Science [Supporting Paper]. Working paper, pp. 1-6. Carleton University. [doi: 10.13140/RG.2.1.3359.1529]
Abstract: WikiSilo is a tool for theorizing across interdisciplinary fields such as Cognitive Science, and provides a vocabulary for talking about the problems of doing so. It can be used to demonstrate that a particular cognitive theory is complete and coherent at multiple levels of discourse, and commensurable with and relevant to a wider domain of cognition. WikiSilo is also a minimalist theory and methodology for effectively doing science. WikiSilo is simultaneously similar to and distinct, as well as integrated and separated from Wikipedia™. This paper will introduce the advantages of WikiSilo for use in the Cognitive Sciences. Note that this paper supports (but was not presented) with:
Leibovitz, D. P., West, R. L. & Belanger, M. (2014) WikiSilo: A Self-organizing, Crowd Sourcing System for Interdisciplinary Science. Poster presented at the 36th Annual Conference of the Cognitive Science Society (CogSci 2014), Quebec City, Canada. [doi: 10.13140/2.1.3139.9048]
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Leibovitz, D. P. (2013) WikiSilo.org – Free tools and content to support a unifying discipline within academia. Wiki software and content accessed November 17, 2013 from http://wikisilo.org/.
Abstract: WikiSilo.org (or simply Wikisilo) distributes free software tools and content that support a unifying discipline within academia. This involves a hierarchy of WikiSilos at ever increasing levels, each acting as a unifying base to their unifying forks.
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Leibovitz, D. P. (2013+) Abnormal Science for Abnormal Perception: A Case for Theoretical Cognitive Science via a Case Study of Narrow Slit Viewing. Working Paper, pp. 1-7. [doi: 10.13140/RG.2.1.3731.8889] (PDF)
Abstract: Anorthoscopic perception is good perception under abnormal viewing conditions. One such scenario is when a wider view of the world is perceived than can be sensed at any one time when looking through a narrow slit. Thus, narrow slit viewing and aperture viewing are common nicknames for this phenomenon. Somehow, visual information must be integrated across viewpoints and one fundamental issue is whether this occurs at the finer-grained locus of sensation, or the larger-grained locus of perception. This paper supports a fine-grained sensory model (Leibovitz, 2013a).
The wider view of abnormal perception will also be used as a metaphor to the unified view of theoretical science as compared to the experimental branch. While analyzing, modeling and theorizing are epistemic activities of both branches, their goals and hence nature will differ. This paper will summarize such differences and introduce theoretical cognitive science via a case study. One surprising difference is that abnormal or holistic analysis requires not only greater epistemic breadth, but must also induce finer ontological grains.
An epistemic problem for holistic analysis is in determining the wider scope applicable for the study of a target phenomenon. This is where theory can inform data. In this paper, we use an ontological, fine-grained and unified theory of cognition (Leibovitz, 2013b) to scope out the relevant neurobiological structures and related phenomena that bear on the target phenomenon of anorthoscopic perception.
Finally, this paper constitutes the theoretical analysis of alternative theories and phenomenon in support for our own theory of narrow slit viewing (Leibovitz, 2013a). In essence, we exemplify abnormal science over abnormal perception, i.e., of theoretical cognitive science for anorthoscopic perception.
Keywords: Abnormal philosophy; Abnormal science; Anorthoscopic; Blink; Epistemology; Experimental; Perception; Aperture Viewing; Emergic Cognitive Model (ECM); Emergic Network (EN); Flowcentric; Foveal Tritanopia; Fusion; Integration; Ontology; Neurocentric; Retinal Painting; Retinotopic; Segmentation; Sensation; Slit Viewing; Spatiotopic; Theoretical; Unified Modeling.
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Leibovitz, D. P. (2013) Flowcentric Model of Narrow Slit Viewing in an Irregular Retina with Blind Spots, Eye Motion, Blinks and no Smear: Base Model Changes, Test Details and Test Results. Working Paper, pp. 1-7. [doi: 10.13140/RG.2.1.2224.5606] (PDF)
Abstract: A computational model of narrow slit viewing is tested under conditions involving a heterogeneous retina with blind spots, while undergoing eye motion and eye blink. The model demonstrates spatial and temporal forms of filling-in, image stability and lack of smear. At a neural level, the model exemplifies flowcentric behaviour.
The model is based on the Emergic Cognitive Model (ECM) (Leibovitz, 2013a, 2013b). ECM is a unified cognitive model and this paper describe the non-cognitive changes made to support and highlight anorthoscopic behaviour. The model is tested against a simplified stimulus as well as an ecological one in order to demonstrate specific model abilities. Additionally, this paper specifies the testing details and provides the simulation results with minimal interpretation as they are further analyzed by Leibovitz (2013c, 2013d).
Keywords: Anorthoscopic; Blink; Aperture Viewing; Emergic Cognitive Model (ECM); Flowcentric; Foveal Tritanopia; Segmentation; Slit Viewing; Unified Modeling.
Leibovitz, D. P. (2013) Wikimergic: unifying the science of brain and mind according to the Emergic Approach. WikiSilo accessed July 15, 2013 from http://en.wikimergic.org. Accessed September 7, 2015 from http://web.archive.org/web/20130703150953/http://wikimergic.upwize.com/wiki/Main_Page.
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Wikimergic is a WikiSilo. Both are theories, methodologies, frameworks, tools and approaches for collaboratively unifying science. However, a WikiSilo is a minimalist and pure epistemology unconcerned with the nature of reality, while Wikimergic is used for explaining change, behaviour and time. This item publicizes the availability of Wikimergic as a product.
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Leibovitz, D. P. (2013) Invited reviews for ICCM
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Leibovitz, D. P. (2013). A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture – Supplement, pp. xv-467. Carleton University. [doi: 10.13140/RG.2.1.4506.4161] (PDF)
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This 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
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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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 t
he 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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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)
Abstract: 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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