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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External links

Wikimergic

Featured

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,

Publications:

External links

Vision, Spiders & Time (talk)

Leibovitz, D. P. (2011) Vision, Spiders & Time. Talk presented at Carleton University, pp. 1-34, Ottawa, Ontario, Canada. [doi10.13140/RG.2.1.4201.9047]

Abstract: How is vision perception related to imagination and planning? What is the role of attention (saccades)? Can smart spiders shed light on human cognition?

  • They have severe engineering restrictions
  • They take a long time to think
  • How does that affect cognition
I will relate spider time to practical matters. Hopefully, you will also come to appreciate spiders as well :).
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Metaphysics

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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Plants, Cognition, Time (& Philosophy)

Leibovitz, D. P. (2008) Plants, Cognition, Time (& Philosophy). Talk presented at Carleton University, pp. 1-28, Ottawa, Canada. [doi10.13140/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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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.

Related Publications:

See also:

Emergic Cognitive System

Emergic Cognitive SystemThe Emergic Cognitive System (ECS) is a system for embodying a cognitive model in a virtual and dynamic agent that is situated in a dynamic environment using simulated real-time. 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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