The title for this forthcoming book (~2017) is tentative.
Feedback is ubiquitous and provides for the emergence of an infinite amount of change and complexity. However, the power to explain change in simple terms requires an open-form language that harnesses feedback, e.g., as used in the “hard science” of Physics. However, the “softer sciences” (and philosophy) continue to apply closed-form thinking – language and meaning that fundamentally disallows feedback – to the problem of change. It is an unfortunate mathematical fact that, at best, closed-form concepts lead to an endless set of local re-descriptions that over time and in hindsight, amount to scientism. Moreover, each closed-form approximation also requires an infinite set of terms to improve local precision. This book highlights the differences between these two epistomologies – languages for theorizing about change – and attempts to harden the soft sciences by converting closed-form thinking to open-form. It amounts to a revolution from the current linguistic turn (which happens to be closed), to an open one.
The “natural” language of continuous change is of a system of interacting open-form expressions that harness feedback. They are epitomized by “dynamics” – the partial differential equations of modern physics – and were critical to overcoming the closed-form limitations of natural language. That, and the search for universal laws, i.e., invariants not relative to local contexts, permitted Physics to become a “hard science“, a unified science.
However, the “softer sciences” (and philosophy) are replete with the closed-form conceptions of natural language. The closed-form problem stems from the dictionary style hierarchically structured definitions of words that does not allow for feedback. These do not have the power to explain change in a unified manner, and can only allow for an endless and infinite variety of local re-descriptions – the hallmark of scientism. Indeed, that is why the search for unification and external validity is given such short thrift in the soft sciences – they are mathematically impossible.
David’s book exposes the linguistic flaw within the soft sciences and philosophy. All the assumptions withing the closed-form linguistic turn are exposed, and this allows the move to the open-form linguistic turn to begin. The hardening of soft sciences demands it. The search for unification can now begin with a firm foundation.
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.
- Leibovitz, D. P. (2013) Wikisilo – Free tools and content to support a unifying discipline within academia. Retrieved November 17, 2013 from http://wikimergic.upwize.com/.
- Leibovitz, D. P. (2014) , West, R. L. & Belanger, M. (2014) WikiSilo: A Self-organizing, Crowd Sourcing System for Interdisciplinary Science [Abstract]. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (p. 3333). Austin, TX: Cognitive Science Society. (abstract; poster PDF)
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 sociologizing of unification. David started Wikimergic in 2013.
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 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.
Leibovitz, D. P., West, R. L. & Belanger, M. (2014) WikiSilo: A Self-organizing, Crowd Sourcing System for Interdisciplinary Science [Abstract]. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (p. 3333). Austin, TX: Cognitive Science Society. [doi: 10.13140/RG.2.1.2455.9840]
Abstract: WikiSilo is a tool for theorizing across interdisciplinary fields such as Cognitive Science using a specific vocabulary and structure. It is designed to show if a particular cognitive theory is complete and coherent at multiple levels of discourse, and commensurable with and relevant to a wider domain of cognition. WikiSilo is also a minimalist theory and methodology about effectively doing science, and is therefore a form of epistemizing. WikiSilo theory provides for a disciplined exploration of explanatory space via an axiomatic hierarchy of epistemizing and ontologizing postulates. The WikiSilo tool, via a software version control system, supports the long term goal of working toward coherent and unified theories. More generally, WikiSilo facilitates self-organization leading to academic silos with well-defined conceptual frameworks that are vertically related as compared to poorly related ad-hoc academic fiefdoms.
Leibovitz, D. P. (2013) WikiSilo.org – Free tools and content to support a unifying discipline within academia. Wiki software and content accessed November 17, 2013 from http://wikisilo.org/.
Abstract: WikiSilo.org (or simply Wikisilo) distributes free software tools and content that support a unifying discipline within academia. This involves a hierarchy of WikiSilos at ever increasing levels, each acting as a unifying base to their unifying forks.
Leibovitz, D. P. & West, R. L. (2013) Dendritic+ Processing in an Emergic Network Model of Narrow Slit Viewing. Poster presented to the the 12th International Conference on Cognitive Modeling (ICCM 2013), Ottawa: Carleton University. [doi: 10.13140/RG.2.1.2849.2002] (pdf)
Abstract: Accounting for dendritic+ processing facilitates richer neural encoding schemes that can ultimately lead to simpler networks while improving their neurobiological plausibility. Dendritic+ processing is an example of several modeling tradeoffs: how local complexifications can improve global simplicity, and how functional network circuitry can be traded against representational circuitry. This is demonstrated within a model of narrow slit viewing based on an emergic network architecture (Leibovitz & West, 2013).
Keywords: Dendritic processing; Emergic Cognitive Model (ECM); Emergic Network (EN); Flowcentric; Neural coding; Representation; Slit Viewing; Unified Modeling.