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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WikiSilo theory is a minimalist epistemology that supports a unifying discipline within academia. It is supported by the WikiSilo tool (from wikisilo.org), and Wikimergic is its first client.
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Wikimergic is derived from the Emergic Approach to unified cognitive modeling. As a product, it forms a wiki and tool that can be used for unifying analysis and synthesis. More importantly, it can demonstrate a coherence of complex distributed conceptions. As a research line of inquiry, one asks how to make the most effective tool for the socializing of unification. David started Wikimergic in 2013.
Wikimergic is a top level WikiSilo, i.e., at level 1. 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 based on a fundamental mathematical/linguistic underpinning of open-form thinking.
Wikimergic houses the entire Emergic Approach, while WikiSilo house a compatible but minimalist outgrowth of the Emergic Approach. The root level WikiSilo (named Wikisilo) currently houses only WikiSilo theory, while Wikimergic is a top-level WikiSilo underneath vying for ultimate acceptance.
Wikimergic also houses WikiECM as a 2nd level WikiSilo, as the abstract is always better informed with a concrete model. So currently, Wikimergic has cognitive modeling examples, even though it is directed to unifying all of science in particular, and all decisions making in general (all of academia).
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Leibovitz, D. P. (2011) Vision, Spiders & Time. Talk presented at Carleton University, pp. 1-34, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.1.4201.9047]
Abstract: Ho
w is vision perception related to imagination and planning? What is the role of attention (saccades)? Can smart spiders shed light on human cognition?
Leibovitz, D. P. (2009) Metaphysics. Lecture given to the “FYSM 1400: Cognition: A Scientific Exploration of the Mind” class. Carleton University, pp. 1-2, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.1.2391.8563] (pdf)
Abstract: Introduces the importance of metaphysics (and philosophy) to cognitive science.
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Leibovitz, D. P. (2008) Plants, Cognition, Time (& Philosophy). Talk presented at Carleton University, pp. 1-28, Ottawa, Canada. [doi: 10.13140/RG.2.1.2470.3209]
Abstract: When plants are viewed 
under various time and spatial scales, their behaviour can appear quite intelligent. This presentation simply aims at questioning some of the basic terminology used by Philosophers of Mind, and Cognitive Scientists. The goal of the presentation is not to answer the following questions, but to stimulate discussion and reflection.
What do we mean by all the aforementioned terms, and how do we clarify them so that plants are once again relegated to simple stimulus-response systems?
The parting thought is in showing that a trivial stimulus-response system is Turing Complete, so perhaps pointing to individual plant processes and showing that each one alone is a stimulus-response portion might miss the overall system-wide intelligence…
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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.
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The Emergic Cognitive System (or ECS) is a system for embodying a developmental cognitive model in a virtual and dynamic agent that is situated in a dynamic environment using simulated real-time for non-representational information processing. This allows a zero parameter model to be tested with a wide variety of experimental paradigms covering a large contextual domain.
Historical Names: Emergic Simulation System (ESS); Emergic Vision System (EVS)
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Students with disabilities are supprted by the Paul Menton Centre (PMC). In 2008, David tutored one such student.
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Leibovitz, D. P. (2007) Language. Lecture given to the “PSYC 2700D: Introduction to Cognitive Psychology” class. Carleton University, pp. 1-29, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.1.3079.9847] (pdf)
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Introduces language from a cognitive science perspective.
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Leibovitz, D. P. (2007) Word Length Effect (In Serial Recall). Lecture given to the “PSYC 2700D: Introduction to Cognitive Psychology” class. Carleton University, pp. 1-39, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.1.4325.1688] (pdf)
Abstract: Intr
oduces the experimental paradigm in cognitive psychology.
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The Emergic Approach (or EA) is a unifying methodology (and discipline) for progressing science based on the mathematical foundation of open-form thinking. Besides formal proof, the ability to unify disparate phenomena within a computational model is demonstrated by the Emergic Cognitive Model that was completely based on the Emergic Approach, while simultaneously enriching it.
A complex version of open-form thinking has successful hardened physics. However, the soft sciences (and philosophy) are replete with closed-form thoughts that in totality present an almost insurmountable barrier to change. Next to this fortress of cards, open-form thinking appears as a farfetched and irrelevant “philosophy” rather than as the standard approach. While it may be philosophizing, it is less for philosophers, and more for theoretical scientists in the soft sciences (especially cognitive science) interested in synthesis.
From 2007 – present, David Pierre Leibovitz developed a unified epistemology, ontology & metaphysics for the analysis, decomposition, synthesis and modeling of complex systems. The empirical philosophizing behind this Emergic Approach (or EA) to unified cognitive modeling is validated by developing a unified cognitive model – the Emergic Cognitive Model (ECM). This research was initially developed at Carleton University.
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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.
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Leibovitz, D. P. (2005) Reformulating. Workshop presented to the “FYSM 1605: Language, Identity and Education” class. Carleton University, pp. 1-17, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.1.3125.0402] (pdf)
Abstract: Learn how reformulating an academic paper improves upon editing.
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Leibovitz, D. P. (2005) Academic Papers. Workshop presented to the “FYSM 1104: Human Rights: Issues and Investigations” class. Carleton University, pp. 1-24, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.1.1503.0242] (pdf)
Abstract: Learn how academic writing at the university level differs from that in high-school.
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Leibovitz, D. P. (2005) Peer Review. Workshop presented to the “FYSM 1307: Psychology and Criminal Justice” class. Carleton University, pp. 1-10, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.1.4386.6082] (pdf)
Abstract: Learn how to improve your writing via peer review.
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Leibovitz, D. P. (2005) Framing & Synthesizing. Workshop presented to the “FYSM 1307: Psychology and Criminal Justice” class. Carleton University, pp. 1-7, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.1.1109.8080] (pdf)
Abstract: Learn how to frame and synthesize for academic writing.
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E. Woods & D. P. Leibovitz (2005) ESL: Common Problems. Workshop presented to the “ESLA 1500: Intermediate English as a Second Language for Academic Purposes” class. Carleton University, pp. 1-3, Ottawa, Ontario, Canada [doi: 10.13140/RG.2.1.2617.1361] (plan, presentation)
Abstract: To encourage ESL students in their writing by showing them that many of the writing problems they experience are in fact experienced by many native writers as well. To collaborate with the students to come up with some solutions which may help them respond to these problems in future writing assignments. All of this should be interactive with very little ‘lecture style’ teaching.
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Historical Logo
During 2004-2005, David tutored individual students, and customized and led workshops for entire classes on improving all aspects of writing.
Customized and led workshops for the following classes:
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During 1988–2002, David Pierre Leibovitz worked at Bell-Northern Research and Nortel in Ottawa. He architected human-computer interaction software based on a hierarchical knowledge representation for a complex adaptive real-time communication system.
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Bell-Northern Research (BNR)
NortelSee also:
During 1988–2002, David Pierre Leibovitz worked at Bell-Northern Research and Nortel in Ottawa. He architected human-computer interaction software based on a hierarchical knowledge representation for a complex adaptive real-time communication system.
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Between 1987 – 1988, David Pierre Leibovitz designed expert legal documentation production software based on template representations.
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LegalwareLocation
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Between 1981 – 1987, David architected a mineral database & identification software using fuzzy logic & statistical techniques.
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University of Alberta
Micronex