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.

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  • 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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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)

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 Cognitive System

Emergic Cognitive SystemThe 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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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

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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Hierarchical Control of Complex Adaptive Communicative Systems

Nortel (2003) Patent US20050138068 Configuration editingDuring 19882002, 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.

Organizations

  • BNRBell-Northern Research (BNR)
  • Nortel

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Domain Expert System for Generating Legal Documentation

Between 19871988, David Pierre Leibovitz designed expert legal documentation production software based on template representations.

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  • LegalwareLegalware

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Roles

  • Software Design & Development (Junior)

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