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The TL as a graph where each of the sefirot nodes is described by a set of ten sub-sefirot organized also according to a sub-TL structure

The TL as a graph where each of the sefirot nodes is described by a set of ten sub-sefirot organized also according to a sub-TL structure

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Purpose This paper seeks to lay the computational and mathematical foundations for a “postmodern cybernetics” based on ancient Kabbalah. This new Kabbalistic cybernetics is introduced to act as an unifying science addressing simultaneously, in a common language and framework the triple nature of human, psychological, social, economic, financial, po...

Contexts in source publication

Context 1
... ten sefirot represent the ten states of a sefira too as a system. This way each sefira possesses information about the other sefirot with which it is interacting directly or indirectly in the TL (Figure 2). ...
Context 2
... TL as a graph can also be seen as generating its own free category, a diagram generated category C (TL) having as objects the sefirot seen each, in its turn, as a graph or set of ten states given by each sefira's sub-TL (Figure 2). ...

Citations

... Negoita and Burstein's interest in developing the foundations for a postmodern system theory and cybernetics based on Kabbalah led to the work reported in [16][17][18]. These papers are devoted in particular to ontological knowledge engineering, complex system modelling, cybernetics, behavioral economics and finance. ...
... A new type of system theory models are required to approach the different quantitative and structural qualitative natures of multi-faceted complex systems involving the human element. In the first part of this chapter we are introducing our Kabbalah based system theory that we began developing in [6] in order to address simultaneously in a unified framework the triple nature of economic and financial systems. We will then focus here on how to apply it to behavioral economics and finance and this will require developing new system dynamics modeling introduced here for the first time. ...
... (1) knowledge and cognitive level (including objective and spiritual knowledge): Crown (will, faith and desire, Keter in original Hebrew or Aramaic), Wisdom (Chochmah), Understanding (Binah) and Knowledge (Da'at) which in fact prepares the transition and implementation of understanding at the emotional level. We are not going here into the detailed structure of this sefira, we did so in [6] (2) emotional/behavioral level: Lovingkindness (Chesed), Judgment, Justice, Strength, Rigor or Severity (Gevurah) and Harmony or Beauty (Tiferet) which is connected to the next level below (3) action level: Perseverance or Endurance (Netzach), Victory or Majesty (Hod), Foundation (Yesod) and Kingship (Malchut). ...
... The three sefirotic triads of the Tree of Life can each by modeled by a feedback control system as we showed in [6]. For example (see Fig. 2), the sefirotic triad made of Lovingkindness-Judgment-Harmony (abbreviated as ChaGaT or CGT from the initials Chesed-Gevurah-Tiferet of the corresponding Hebrew words), functions as an emotional level feedback control system with Harmony as feedback control helping Lovingkindness to regulate Judgment and viceversa. ...
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Kabbalah and its Tree of Life integrate the cognitive, behavioral/emotional and action levels of human existence, explaining the relations between these and their unity. This makes it an ideal framework for behavioral economics and finance where cognitive and emotional biases and heuristics play a central role. In Burstein and Negoita [9], we began to develop a Kabbalah system theory, modeling the Tree of Life as a hierarchical three level feedback control system corresponding to the cognitive, behavioral/emotional and action levels. We will further develop this here by focusing on system dynamics, in order to create a Kabbalah system theory modeling framework for a knowledge based behavioral economics and finance. In this new framework, emotional intelligence theory [19–21, 40] and Polanyi personal tacit/explicit knowledge theory [36, 37] are used to model the emotional and cognitive level processes. Here we are connecting these theories with behavioral economics and finance. While behavioral finance focuses on the impact of knowledge/cognition and emotional factors, the intrinsic dynamics of these factors is not considered in depth. This is why behavioral economics and finance can benefit from integrating emotional intelligence and knowledge theory in their modeling. Our Kabbalah system theory creates the modeling framework for that. In particular, it allows connecting the recent knowledge based economic theory attempts with behavioral economics in a unified knowledge based behavioral economics. We apply this in particular to Kabbalah behavioral, knowledge based asset pricing modeling.
... We defined constructively Kabbalistic L-fuzzy sets based on a Kripke type of Kabbalah possible worlds frame. We showed recently [15]- [17] how Kabbalah can be used to develop postmodern versions of knowledge engineering and knowledge based systems, of humanistic system cybernetics and humanistic system theory and of behavioral finance and economics. The Kabbalistic L-fuzzy set concept and the Kabbalah semantic frame for the fractal multi-modal Kabbalah logic can be applied via the frameworks introduced in [15]- [17] to knowledge engineering, cybernetics, behavioral finance and economics for humanistic systems. ...
... We showed recently [15]- [17] how Kabbalah can be used to develop postmodern versions of knowledge engineering and knowledge based systems, of humanistic system cybernetics and humanistic system theory and of behavioral finance and economics. The Kabbalistic L-fuzzy set concept and the Kabbalah semantic frame for the fractal multi-modal Kabbalah logic can be applied via the frameworks introduced in [15]- [17] to knowledge engineering, cybernetics, behavioral finance and economics for humanistic systems. ...
... In [1], [2] we introduced a Kabbalah system theory based on exploring and formalizing principles of the philosophy of Kabbalah [5], [6], [7] using system theory [8] in a mathematical category theoretic formulation [9], [10], [11], [12]. ...
... The Tree of Life of Kabbalah becomes thus a standardized model for both concepts and ontologies. This leads to building a Kabbalah based ontological engineering for knowledge representation in KBS using our Kabbalah system theory (KST) [1], [2]. KST, through its system dynamics and category theoretic instruments like pullback and pushout, is also the framework for knowledge engineering and knowledge model building describing concept formation and dynamics, knowledge ontology dynamics and transformation etc. ...
... We developed in [1], [2] a Kabbalah system theory of the simplified form of the Tree of Life given in Fig. 2. System theory emerged as a program to address, in a holistic rather than reductionist way driving and controlling or control engineering different type of systems and the interdependence between these in a unified formalism [8]: input or cause, output or effect, states, feedback from states or output back to input called control or feedback control meant to drive the system to a desired state or objective etc. System theory has been so far very little applied to AI, knowledge engineering, ontological engineering yet all these are called "engineering". We will introduce here a system theoretic interpretation of knowledge engineering seen as achieving desired outputs and objectives based on driving, controlling a knowledge based model, an ontology etc which is the general objective of control system engineering in general. ...
Article
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Using the Kabbalah system theory (KST) developed in [1], [2], we propose an ontological engineering for knowledge representation of domains in terms of concept systems in knowledge based systems in artificial intelligence. KST is also used for the knowledge engineering of the knowledge model building based on ontology. KST provides thus an integrative, unifying, domain independent framework for both the knowledge representation via ontologies and knowledge model building via knowledge engineering in knowledge based systems.
Chapter
This chapter aims to shed light on the impact of postmodern thought on current debates in sociology. In this respect, the shift from modern to postmodern forms of analysis is paradoxical in that it attacks the heart of sociology: namely, its concern with the constitution of ‘the social’. As shall be elucidated in the following sections, contemporary conceptions of ‘the social’ have been significantly influenced by what may be described as the cultural turn1 in sociology. Sociology is a child of modernity. From a postmodern perspective, recent paradigmatic trends in the social sciences appear to have contributed to converting sociology into a mature adult, aware not only of its own limitations but also of the unrealistic ambitions that shaped its infancy. From a modern point of view, by contrast, the very idea of a ‘postmodern sociology’ is a contradiction in terms. It is not only because of its modern roots, however, that it seems implausible to treat sociology as a postmodern discipline. Furthermore, it is due to two of its most basic assumptions that it is difficult to conceive of sociology — understood in the classical sense – as a postmodern endeavour: on the ontological level, the assumption that ‘the social’ actually exists; and, on the methodological level, the assumption that ‘the social’ can be scientifically studied.
Article
The stress driven Cortisol dynamics of the Hippocampal-Hypothalamic- (Anterior) Pituitary-Adrenal (HHPA) axis with its negative feedback loops from the adrenals to pituitary and hypothalamus, in particular relation with hippocampus, have been the focus of the last few years boom of papers using various distinctive mathematical models, simulations, stability analyses and optimal control of these models. These many quantitative approaches led to discovering unknown connections between Cortisol feedback loop dysfunctions and stress disorders (post-traumatic stress disorder (PTSD), depression, chronic fatigue syndrome (CFS)), adrenal suppression and atrophy, Alzheimer (AD) and hypocampal cognitive dysfunctions (memory loss) leading to new drug treatment strategies. We assemble here together and unify these results, including our own early work, in order to create an integrative mathematical system theory framework for HHPA & HPA and stress driven Cortisol dynamics in which various clinical disorders appear as various quantifiable negative feedback loop dysfunctions and drug therapies correcting these disorders appear as feedback model based treatments: a neuroendocrine system theory for Cortisol "feedback pathology" and its existing and future possible "feedback therapies".