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Investigates some major instances of feedback and pullback in structured programming, expert systems, neural networks, and fuzzy systems. Provides details of particular cases to illustrate investigations, including construction of a knowledge‐base and the mechanism of pullback, by a fuzzy system.

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, political, cultural systems and their present multi‐faceted crises and conflicts: cognitive objective level of attaining knowledge; subjective emotional level and physical action and behavioral level.

Feedback, hierarchical control and other system and control theoretic features in the Tree of Life (TL) of Kabbalah were identified. These were used to develop a general system theoretic framework of a new type to address human and societal system dynamics, evolution, interaction and feedback control by simultaneously taking into account their triple nature.

The postmodern cybernetics of the TL introduced here as a general system framework, exhibits feedback control with internal model principle, hierarchical control, system multi‐valued logic, category theory pullback and pushout mechanisms, advanced knowledge engineering to aggregate, learn, evolve and solve problems and crises in an integrated way.

“Kabbalistic postmodern cybernetics” proposed here for human and societal systems is the unified scientific framework to solve problems that led to or are just related to economic, financial, political, cultural, societal and human crises and conflicts by addressing their triple intertwined human nature.

Computational foundations for a postmodern cybernetics based on Kabbalah are introduced, where the cognitive, emotional and behavioral and physical action facets of human systems are dealt with in a unified integrated framework to address global problems and crises.

The problem of human systems is a difficult and fascinating one. The author believes that in future cybernetics will play an important part in helping to unravel this problem. The aim of this work is to survey some possibilities for a cybernetics of society, and this has been done principally through the investigation of a model offered by the theory of fuzzy systems.

This study is the first to investigate the causal relationship between Bitcoin and equity price returns by sectors. Previous studies have focused on aggregated indices such as S&P500, Nasdaq and Dow Jones, but this study uses mixed frequency and disaggregated data at the sectoral level. This allows the authors to examine the nature, direction and strength of causality between Bitcoin and equity prices in different sectors in more detail.

This paper utilizes an Unrestricted Asymmetric Mixed Data Sampling (U-AMIDAS) model to investigate the effect of high-frequency Bitcoin returns on a low-frequency series equity returns. This study also examines causality running from equity to Bitcoin returns by sector. The sample period covers United States (US) data from 3 Jan 2011 to 14 April 2023 across nine sectors: materials, energy, financial, industrial, technology, consumer staples, utilities, health and consumer discretionary.

The study found that there is no causality running from Bitcoin to equity returns in any sector except for the technology sector. In the tech sector, lagged Bitcoin returns Granger cause changes in future equity prices asymmetrically. This means that falling Bitcoin prices significantly influence the tech sector during market pullbacks, but the opposite cannot be said during market rallies. The findings are consistent with those of other studies that have established that during market pullbacks, individual asset prices have a tendency to decline together, whereas during market rallies, they have a tendency to rise independently. In contrast, this study finds evidence of causality running from all sectors of the equity market to Bitcoin.

The findings have significant implications for investors and fund managers, emphasizing the need to consider the asymmetric causality between Bitcoin and the tech sector. Investors should avoid excessive exposure to both Bitcoin and tech stocks in their portfolio, as this may lead to significant drawdowns during market corrections. Diversification across different asset classes and sectors may be a more prudent strategy to mitigate such risks.

The study's findings underscore the need for investors to pay close attention to the frequency and disaggregation of data by sector in order to fully understand the true extent of the relationship between Bitcoin and the equity market.

The purpose of this paper is to outline a theoretical approach to approximate reasoning. The author shares the view that the emergence of an algebraic approach is vital for the advancement of conceptual understanding as well as technical knowledge of knowledge engineering. The notion of a knowledge diagram is suggested as a unifying framework to explain some significant results in this area. This is a categorial point of view promoting the idea that the concept of transformation be taken as fundamental in place of membership. Entities are characterized by their universal properties which specify their role in relation to other entities. Once the operational description is known, internal structure is of lesser importance.

Provides a personal view of the development of the theories and applications of fuzzy systems which were first introduced in the 1960s. Details the interrelationships between the pioneering proponents of fuzzy theory. Concentrates in part I on the historical beginnings of the field and in part II continues to provide personal insights into contemporary studies.

This chapter aims to analyze whether European security shapes future American grand strategy or not. For restrainers, the present American grand strategy has to be revisited due to the fact that there is no balance of power logic for further American presence in Europe. Moreover, China is a great power to be balanced in Asia. The chapter problematizes the assumptions provided by restrainers. It will argue that the United States has been acting in Europe as the pacifier, and it has a deep-seated interest in European peace. European security has been built upon the American preponderance of power, and a potential imbalance of power is a threat to the United States. While Russia is a revisionist power in Europe intended to change the status quo in Europe, China is a great power in Asia. However, the United States has both sufficient material power and allies to balance Russia and China simultaneously, and pivoting to Asia requires no American pullback in Europe.

Summary—A synthesis process of a multiple description is defined on a lattice of fuzzy sets which differs from the usual one. Connections between these lattices are stated. Mathematical definitions are correlated with concepts of decision and system theory.