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 the Emergic Approach. It includes WikiSilo components, and ECM.
  • 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!

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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 sociologizing of unification. David started Wikimergic in 2013.

History:

  • The Emergic Approach was loosely formulated as an epistemology for unifying cognitive modeling. The Emergic Cognitive Model was a scientific theoretical product of the approach.
  • Wikimergic was a disciplining tool for documenting the Emergic Approach, but it included the future ECM and WikiSilo portions.
  • WikiSilo was spawn of as a minimalist disciplining and unifying epistemizing for all of science. If Wikisilo.org contained the master root level 0 WikiSilo, then Wikimergic became a top level 1 WikiSilo, and ECM a 2nd level WikiSilo. Wikimergic did not yet have the fundamental open-form thinking component.
  • Wikimergic becomes a general open-form thinking for science, academia and general learning and decision making,

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External links

Emergic Network (EN)

Emergic Network ExampleThe Emergic Network (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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See also:

Emergic Approach to Unified Cognitive Modeling

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Emergic Approach LogoFrom 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 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.

See also:

Emergic Cognitive Model

Leibovitz (2013) ThesisContinuously progressing and unifying a single situated and embodied cognitive model for the entirety of cognition, starting with a cognitive agent having a visual system that moves and interacts with a dynamic environment. Emergic modeling incorporates the remainder of cognition according to the principles of the Emergic Approach.

Publications:Emergic Approach Logo

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GemIdent – The Gem Identification Domain Expert

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.