Category Archives: Products

David’s contribution in terms of theories, approaches, software programs, etc.

WikiSilo

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WikiSilo bases and forksWikiSilo 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.

History:

  • The Emergic Approach is loosely defined for unifying cognitive modeling.
  • Wikimergic (a product of the Emergic Approach) is used to document (or house) the abstract Emergic Approach. It includes WikiSilo components, and the concrete Emergic Cognitive Model.
  • WikiSilo becomes a minimalist version of the Emergic Approach for science in general. It is housed in the master root level 0 WikiSilo named Wikisilo at wikisilo,org, Simultaneously, Wikimergic has extensions of WikiSilo theory for unifying cognitive modeling.
  • Open-form thinking updates mostly Wikimergic, but WikiSilo as well. Wikimergic becoming suitable for unifying all of science, academia, general learning and decision making. A tool for unifying the world! Nevertheless, because it currently is concretized by ECM, it appears to be targeted for unifying computational modeling.

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WikiECM

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WikiECM is a 2nd level WikiSilo that houses the Emergic Cognitive Model (or ECM). It sits under Wikimergic, which sits under Wikisilo in the WikiSilo hierarchy. Because WikiECM is a WikiSilo (open to all), it counts as a product (with or without the ECM code).

WikiECM has more detail and examples of use, it adds to the epistemology of ECM. Also, the historizing of alternatives adds impact of ECM.

Wikimergic

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Wikimergic logoWikimergic 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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Emergic Network (EN)

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Emergic Network ExampleThe 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.

Leibovitz (2012) Modelling visual processing via emergence (CSBBCS)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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Emergic Approach for Unifying Science

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Emergic Approach LogoThe 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.

History:

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

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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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GemIdent – The Gem Identification Domain Expert

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GemIdent is a gem identification software and data base used in gemology.It should not be confused with a similarly named image recognition program. GemIdent is derived off MinIdent.

GemIdent represents information about gems in a statistical manner and identifies unknown gems with a fuzzy-like matching system.

People. GemIdent was developed between 1989 and 1990 by David Pierre Leibovitz and Heideh Omoumi.

Related Publications:

Omoumi, H. (1990) GemIdent: a data base for gems and some applications of the electron microprobe in gem characterisation. MSc. Thesis, University of Alberta.

MinIdent – The Mineral Identification Domain Expert

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MinIdent is a mineral identification software and data base used in mineralogy. The original Command-line interface (CLI) program was written in FORTRAN and ran on a mainframe computer. It was later ported to a PC. The current version of the MinIdent-Win software has a graphical user interface (GUI) and is available at www.micronex.ca.

MinIdent represents information about minerals in a statistical manner and identifies unknown minerals with a fuzzy-like matching system. Even without a set of mineral samples, MinIdent can construct statistics based on understanding the chemical formula of a mineral.

GemIdent is a derivative of MinIdent.

People: MinIdent was initially developed between 1981 and 1987 by David Pierre Leibovitz and Dorian G. W. Smith.

Related Publications:

Smith, D. G. W. (2003). Member in the News: Dorian Smith and MinIdent. Newsletter of the Mineralogical Association of Canada, 69(April), 19–20.

Smith, D. G. W., Omoumi, H., & Leibovitz, D. P. (1989) The MinIdent database: some recent development. 28th International Geological Congress. Abstracts 3: 138-139

Smith, D. G. W., & Leibovitz, D .P. (1986) MinIdent User’s Manual. A FORTRAN 77 program for mineral identification. Computing Services, University of Alberta, Edmonton, Alberta, Canada.

Smith, D. G. W., & Leibovitz, D. P. (1986) MinIdent: A data base for minerals and a computer program for their identification. Canadian Mineralogist. 24(4): 695-708.

Smith, D. G. W., & Leibovitz, D. P. (1984) A computer-based system for identification of minerals on the basis of composition and other properties. 27th International Geological Congress. Extended Abstract, 5: 169.

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