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Humans acquire knowledge through their central nervous system and models of this process are the first connection between cognition and cybernetics. Taking this as its starting point, this article examines parallels between human psychology and the central nervous system, and models of computer systems; both are required to receive, process and interpret information. The author discusses the human neural system and neural nets and how these can be likened to Computer‐Aided Knowledge systems.

A derivative autonomous nonlinear feedback system is suggested as a possible model for physical and biological oscillating systems. Practical conditions for the existence and stability motion are derived.

The challenge of explaining all neural and even psychic phenomena with the aid of cybernetics concepts is discussed. The theories concerning the nature of the human brain's activity are considered. The central theme is to propose some paradigms for the neuron and for various neuron nets. Models for the input psychic functions such as creativity, language and social integration are presented.

Discusses a hyperspecialization in science, with axiological tendencies that put science higher than art or the myths. Considers that from a cybernetic point of view science as well as art or even myths are the creations of the human mind via an informational process. In the search for a complete axiomization, science has reached a limit where even in arithmetic there are said to be some undecidable affirmations. Argues that it should seem normal to accept a transdisciplinary point of view that would entail a global approach which would allow the sciences to communicate with art, poetry and inner experience, all through the cybernetic process. Discusses the First World Congress on Transdisciplinarity, held in 1994 in Portugal, and the adoption of a Charter of Transdisciplinarity.

This communication highlights the study of the properties of a general second‐order nonlinear multistable system. Particular attention is directed to fixed points analysis and phase portrait representation. Some examples and computer simulations are also included.

The views of two philosophers who have recently published books on Ethics are discussed by a distinguished cybernetician. The link between philosophy and cybernetics is examined in relation to life and it is demonstrated that both philosophers arrive at the same conclusion which is that a cybernetic attitude must be adopted.

Considers the central nervous system as a data‐processing system, in which one can model (simulate) an operating system, a knowledge processor, a monitor, a model of the Universe and a linguistic model. Artistic creativity is compared with scientific activity and it is stressed that scientific creativity can also mean small advances in given areas. Considers it essential not to propose new paradigms, but to elaborate efficient imaginary ideas, to create new concepts and to propose new areas of research. In these directions, some simple methods are suggested.

Describes a new kind of non‐linear trainable classifier, successfully tested in computer‐vision pattern recognition. Class regions are not described, as usually, through analytical means but as a reunion of standard sets. Defines the notion of E‐separability for the class regions in the feature space IRd considered as a metric space with a distance related to the Euclidean distance. Studies and proves the convergence of the decision regions to the class regions in this metric space. For a given E (is a member of) provides a stopping rule for the training phase. Then describes the working phase, showing how classification actually takes place. Finally, presents significant results.

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.

The purpose of this study is to empirically examine the effects of the numerical cues (NC) used in online review comments on perceived review helpfulness and the underlying psychological mechanisms.

An experimental design approach was employed to investigate the proposed research questions. Two experiments were conducted to test the hypotheses. Mplus 7 and Stata 14.0 were used for data analysis.

Empirical findings support the positive correlation between the presence of NC in online review comments and perceived review helpfulness across different product categories. This relationship is mediated by two psychological responses of consumers: cognitive elaboration and credibility perception.

This research adds to the existing literature by focusing on the value of NC in online review comments and how they can enhance perceived review helpfulness. Some practical implications are also addressed. For example, marketers can encourage consumers to post reviews that contain quantitative information to facilitate their target markets' comprehension of a product or brand.

Building on the previous literature, the work adds incremental knowledge on the role NC in online review comments play in affecting consumers' perceptions. In addition, the research uncovers the underlying psychological responses that mediate the relationship between NC in review comments and perceived review helpfulness.