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.
Documents:
Presented:
Links:
Leibovitz, D. P. & West, R. L. (2013) Dendritic+ Processing in an Emergic Network Model of Narrow Slit Viewing. Poster presented to the the 12th International Conference on Cognitive Modeling (ICCM 2013), Ottawa: Carleton University. [doi: 10.13140/RG.2.1.2849.2002] (pdf)
Abstract: Accounting for dendritic+ processing facilitates richer neural encoding schemes that can ultimately lead to simpler networks while improving their neurobiological plausibility. Dendritic+ processing is an example of several modeling tradeoffs: how local complexifications can improve global simplicity, and how functional network circuitry can be traded against representational circuitry. This is demonstrated within a model of narrow slit viewing based on an Emergic Network architecture (Leibovitz & West, 2013).
Keywords: Dendritic processing; Emergic Cognitive Model (ECM); Emergic Network (EN); Flowcentric; Neural coding; Representation; Slit Viewing; Unified Modeling.
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See also:
Leibovitz, D. P. & West, R. L. (2013) Dendritic+ Processing in an Emergic Network Model of Narrow Slit Viewing. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling (ICCM 2013), pp. 1-6. [doi: 10.13140/RG.2.1.3242.4165] (PDF)
Abstract: Accounting for dendritic+ processing facilitates richer neural encoding schemes that can ultimately lead to simpler networks while improving their neurobiological plausibility. Dendritic+ processing is an example of several modeling tradeoffs: how local complexifications can improve global simplicity, and how functional network circuitry can be traded against representational circuitry. This is demonstrated within a model of narrow slit viewing based on an Emergic Network architecture (Leibovitz & West, 2012).
Keywords: Dendritic processing; Emergic Cognitive Model (ECM); Emergic Network (EN); Flowcentric; Neural coding; Representation; Slit Viewing; Unified Modeling.
Links:
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Leibovitz, D. P. (2013). A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture. (Order No. NR94549, Carleton University (Canada)). ProQuest Dissertations and Theses, pp. xxxii-459. Retrieved from http://search.proquest.com/docview/1437103134?accountid=9894. (1437103134). [doi: 10.13140/RG.2.1.2681.6482] (PDF)
Keywords (ProQuest): Biological sciences; Applied sciences; Psychology; Emergic network architecture; Unified cognitive model; Visual filling-in
Abstract: The Emergic Cognitive Model (ECM) is a unified computational model of visual filling-in based on the Emergic Network architecture. The Emergic Network was designed to help realize systems undergoing continuous change. In this thesis, eight different filling-in phenomena are demonstrated under a regime of continuous eye movement (and under static eye conditions as well). Continue reading
Congratulations to David Pierre Leibovitz, Sarra Ghazel and Tabish Ismail on their successful thesis defenses last week.
On Thursday January 10th, 2013, David Pierre Leibovitz successfully defended his Ph.D. thesis entitled A Unified Cognitive Model of Visual Filling-In. The Chair for his Defense was Dr. Pauline Rankin. His External Examiner was Dr. Gary Cottrell from the University of California, San Diego and his Internal/External Examiner was Dr. Craig Leth Steenson. The members of David’s Committee were Dr. Robert West, Dr. Andre Vellino and Dr. Robert Biddle.
On Friday January 11th, 2013, Sarra Ghazel successfully defended her Ph.D. thesis entitled Cognitive Architectures in Morphological Processing: Acquistion and Attrition. The Chair for her Defense was Dr. Michel Gaulin. Her External Examiner was Dr. Monika Schmid, University of Groningen, The Netherlands and her Internal External Examiner was Dr. Carmen Leblanc. The members of Sarra’s committee were Dr. Laura Sabourin, Dr. Lefevre , Dr John Logan and Dr. Kumiko Murasugi.
On Friday January 11, 2013, Tabish Ismail successfully defended his M.Cog.Sc. thesis entitled Truth in Science. The Chair for his defense was Dr. Deepthi Kamawar. His Internal/External examiner was Dr. David Matheson. The members of Tabish’s committee were Dr. Raj Singh, Dr Robert West and Dr. Eros Corazza. We also wanted to congratulate Tabish as he now officially a Ph.D. Student within the Institute of Cognitive Science!
Congratulations once again to all of you!
Copied from original positing at
http://carleton.ca/ics/2013/successful-thesis-defenses-well-done/
In 2013, David was awarded the degree of Doctor of Philosophy in Cognitive Science at Carleton University.
In January, he defended a thesis titled “A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture“. His degree was conferred in May.
His thesis supervisor was Robert L. West.
External Links:
Leibovitz, D. P. (2013) A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture [Thesis Defense Presentation], pp. 1-28. Carleton University. [doi: 10.13140/RG.2.1.2603.5687] (pdf)
Abstract: Presented at the defense for a thesis titled “A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture“.
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Leibovitz, D. P. (2012) Modelling visual processing via emergence. [Abstracts of the 2012 CSBBCS annual meeting]. Canadian Journal of Experimental Psychology, 66(4): 308–308. [abstracts doi: 10.1037/a0029409]
Abstract: A model of low level visual processing is outlined along with a demonstration of the numerous phenomena it unifies. Specifically – filling in, visual memory, image stability, color homogeneity, blind spot, temporal edge detection, eye blink – phenomena that would ordinarily be investigated under different sub fields and with disparate models. The model is based on the interaction between recurrence and eye motion. The model is built using the Emergic Network system, which is a new cognitive modeling system created for this project and others like it. Emergic Networks facilitate the exploration of how recurrent and distributed functions produce functional emergent effects. I will present an overview of the Emergic Network System and the simulation results for each phenomena it models.
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Dr. Robert L. West is associate professor in charge of the Carleton Cognitive Modeling Lab (CCM). He is cross-appointed to both the Psychology Department and the Institute of Cognitive Science at Carleton University, Ottawa, Ontario, Canada.
Contact:
Collaborations:
Joint Publications:
Leibovitz, D. P. & West, R. L. (2013) (Full 6 page paper). Emergence of Border & Surface Completion (both Spatial and Temporal) in a Flowcentric Model of Narrow Slit Viewing. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling (ICCM 2013), Ottawa: Carleton University.
Leibovitz, D. P. & West, R. L. (2013) (Full 6 page paper). Dendritic+ Processing in an Emergic Network Model of Narrow Slit Viewing. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling (ICCM 2013), Ottawa: Carleton University.
Leibovitz, D. P. & West, R. L. (2013) Emergence of Border & Surface Completion (both Spatial and Temporal) in a Flowcentric Model of Narrow Slit Viewing. 12th International Conference on Cognitive Modeling (ICCM 2013), Ottawa: Carleton University. Invited Talk.
Leibovitz, D. P. & West, R. L. (2013) Dendritic+ Processing in an Emergic Network Model of Narrow Slit Viewing. 12th International Conference on Cognitive Modeling (ICCM 2013), Ottawa: Carleton University. Poster Presentation.
West, R. L., & Leibovitz, D. P. (2012). Understanding each other: Defining a conceptual space for cognitive modeling. 34th annual meeting of the Cognitive Science Society (CogSci 2012) (pp. 2535-2539). Sapporo, Japan.
West, R. L., & Leibovitz, D. P. (2012). Understanding each other: Defining a conceptual space for cognitive modeling. 34th annual meeting of the Cognitive Science Society (CogSci 2012). Sapporo, Japan. Poster Presentation.
Leibovitz, D. P., & West, R. L. (2012). 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.
Leibovitz, D. P., & West, R. L. (2012) Cognitive Re-Use via Emergic Networks. Poster presented at the 11th International Conference on Cognitive Modeling (ICCM 2012), Berlin, Germany. pp. 1-12. [doi: 10.1037/e557232013-001 (PsychEXTRA); 10.13140/RG.2.1.4218.2884 (content)]
Abstract: In this poster we introduce a new cognitive modeling system called Emergic Networks. The Emergic Network system is designed to facilitate functional, nonlinear decomposition with the aim of understanding how different neural systems can interact to produce specific instances of cognitive functionality. The first part of the paper briefly describes the motivation for the system and the second part briefly describes the system and provides a web location for downloading.
Links:
See also:
Leibovitz, D. P., & West, R. L. (2012) Cognitive Re-Use via Emergic Networks. Proceedings of the 11th International Conference on Cognitive Modeling (ICCM 2012) (pp. 72-73). Berlin, Germany. [doi: 10.13140/RG.2.1.3562.9282 (paper);10.1037/e557102013-021 (PsycEXTRA)] (pdf)
Abstract: In this paper we introduce a new cognitive modeling system called Emergic Networks. The Emergic Network system is designed to facilitate functional, nonlinear decomposition with the aim of understanding how different neural systems can interact to produce specific instances of cognitive functionality. The first part of the paper briefly describes the motivation for the system and the second part briefly describes the system and provides a web location for downloading.
Links:
See also:
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 the 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.
Links:
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Leibovitz, D. P. (2010) Changeons & Predictons. Talk presented to the Complex Adaptive Systems Group at Carleton University, pp. 1-7, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.1.3972.5281]
Abstract: Taylor Series expansion leads to Newton’s Method of Divided Differences used in Babbage’s Difference Engine. However, errors accumulate beyond region of expansion. My recurrence relation does not have this problem.
Links:
Leibovitz, D. P. (2010) Lilac Chaser Illusion and Virtual Eyeballs. Talk presented at Carleton University, Ottawa, Canada. [doi: 10.13140/RG.2.1.2268.5923]
Abstract: David Leibovitz will give a live demo of his research-in-progress and discuss the nature of his research and future plans. David will demonstrate a framework, whereby a Virtual Eye is looking at the Lilac Chaser visual illusion. Currently, the implementation has a minimal cognitive component, a set of photoreceptors for the fovea, and saccadic jitter for the eye.
Links:
The Emergic Network (or EN) is an “artificial neural” network architecture that abandons traditional neural oversimplifications and facilitates an Emergic Approach to design that harnesses emergence by explicitly encoding the interactions among multiple flows of information.
Note: that while an Emergic Network unit can correspond to an actual neuron, the Emergic Network is not a network of neurons, and each unit can correspond to an arbitrary domain of analysis, as low as quantum mechanics if desired, up to social groupings. That is why “neural” is in quotes. Indeed a single unit is Turing complete and could simulate an entire artificial neural network.
The Emergic Network architecture, is described and housed within Wikimergic.
Related Publications:
See also:
Emergic Cognitive Model
The Emergic Cognitive Model (or ECM) is a unifying cognitive model that develops genetically, i.e., based on development parameters or modeling DNA. ECM advances a single powerful theory of human cognition for explaining a variety of emergent phenomena described across experimental paradigms and academic disciplines
The unifying model has no free parameters, and its emergent behavior is commensurate with expectations in its developmental differences, as well as its interactions across a variety of environments, stimuli and situations.
Unifying modeling is guided by the principles of the Emergic Approach for progressing science. Thus, ECM is based on the Emergic Network (a computational architecture), is embodied and developed within virtual agents (persons), and situated within environments (worlds) of an Emergic Cognitive System, for non-representational real-time information processing.
Jittering retina of the Emergic Cognitive Model
Currently, the Emergic Cognitive Model supports low-level aspects of dynamic visual processing. It has a biological realistic retina (with a blind spot, a random placement of photoreceptors that grow in size beyond the fovea), and supports eye movement (including jitter) without motion blur, blinking, and object motion.
External links
Carleton University is a comprehensive public university located in Ottawa, Ontario, Canada. It was attended by David during 1993 & 2003 – 2013.
External links
Ottawa Panorama by Wikicanadia
Ottawa is the national capital of Canada and lies within the province of Ontario. David has lived there since 1988.
External links