https://popups.uliege.be/3041-539x/index.php?id=956 Publications of Auteurs Dobilas Kirvelis fr 0 https://popups.uliege.be/3041-539x/index.php?id=4390 The aim of this paper is to formulate non-formal more-equal-less (M-E-L) logic of the neural networks analysis and synthesis of the multidimensional signals for anticipatory control in living and organized systems. The signals analysis and synthesis structures are necessary for anticipation procedures in the more complex systems decision making. The possibilities of neural nets composed of neurons as the algebraic dot productors of continuously varied impulse frequencies characterized by diode non-linearity {N}, when informational operations of fuzzy logic are performed is analyzed. According to the facts of neurobiological research the neurons are divided into satellite and pyramidal ones, and their functional-static characteristics are presented. The operations performed by satellite neurons are characterized as qualitative (not quantitative) informational estimations "more", "less", "equal", i.e., they function according to more-equal-less (M-E-L) logic. Pyramidal neurons with suppressing entries perform algebraic signal operations and as a result of them the output signals are controlled by means of universal logical function "NON disjunction" (Pierce arrow or Dagger function). It is demonstrated how satellite and pyramidal neurons can be used to synthesize the neural nets functioning in parallel and realizing all logical and elementary algebraic functions as well as to perform the conditional controlled operations of information processing. Such neural nets functioning by principles of M-E-L and suppression logic can perform signals' classification, filtration and other informational procedures by non-quantitative assessment, and their informational possibilities (the amount of qualitative states), depending on the number n of analyzing elements-neurons, are proportional to n! Or even to 2n· n!, i.e., much bigger than the possibilities of traditional informational automats functioning by binary principle. Such neurostructures of analysis by synthesis carries signal-information procedures on the principal-factor components analysis methods. Thu, 10 Oct 2024 10:12:59 +0200 Thu, 10 Oct 2024 10:13:21 +0200 https://popups.uliege.be/3041-539x/index.php?id=4390 https://popups.uliege.be/3041-539x/index.php?id=3683 Neuronal schemes realizing operations with continuous quantities are presented. These schemes are based on an analog neuron as a "diode-like" summator of continuous quantities (spike frequencies). Analog (continuous) logic, non-linear feedback, and neuronal structures, which can realize the complex features of information filtration, are discussed. Special attention is paid to factorial switches and synthesis of neuronal structures. Neuronal structures processing n-dimensional continuous vectors by non-linear feedbacks can realize the factorial switch, which stores and reproduces information about decreasing order of the components of the vectors. Thu, 26 Sep 2024 10:44:03 +0200 Thu, 26 Sep 2024 10:44:32 +0200 https://popups.uliege.be/3041-539x/index.php?id=3683 https://popups.uliege.be/3041-539x/index.php?id=3379 The aim of this paper is to show that informational control in bio-systems is possible only through the use of closed-loop coding-decoding (CL-CD) and that CL-CD is a common feature of all organized systems that induces the birth of semantics. The analysis of the nervous systems research data shows that the coding and decoding procedure uses nota binary logic, but specific logic based on the "more-equal-less" (M-E-L) principle. It is likely that similar coding principle is used in molecular signaling structures (cells and hormonal subsystems of organisms) and that the implementation of this is a kind of nanoinfotechnology. Non-categorical M-E-L logic is similar to fuzzy (Zadeh) logic and may be used for explanation of neurobiological and neuropsychological facts through systemic (holistic) functional organization of the nervous system and of new neuroinformational and nanoinfotechnological ideas. Mon, 16 Sep 2024 11:47:56 +0200 Mon, 07 Oct 2024 12:45:09 +0200 https://popups.uliege.be/3041-539x/index.php?id=3379 https://popups.uliege.be/3041-539x/index.php?id=3160 Bio-theoretical analysis of the evolution of living systems on the basis of organized systems theory suggests that social development of the human beings is a succession towards the increasing technological creativity. The community of primates evolves from a creative individual through the creative social layer (creative class) towards the creative society. The creative class is a socioeconomic layer that is the key driving force for the economic development of post-industrial regions. The organized systems theory, based on the principle of the informational closed-loop coding-decoding control (CL-CDC), suggests that the creative class is only the first step to the new social formation - creative society, the society that specializes to generate information. The economic growth is only the production of resources for the generation of social information. Information could be understood as a phenomenon, which is completely different from matter and energy, since informational control determines the main property of the organized systems that is the ability to reduce entropy. The organized systems are immersed in the space of problems, which need to be solved, and information is a means to solve the problems. It controls the behavior of the organized systems. Both the living system and the social system could be understood as organized problem-solving systems. The living cell is the primary and the simplest organized system on the Earth based on genetic information, and genotype-phenotype duality. The essence of the evolution of the human society is the evolution of the brain-based information technology. The concept of CL-CDC as an approach to life and society on the basis of evolution of information technologies combines and extends the concepts of nomogenesis (Berg, 1922), noogenesis (Teilhard de Chardin, 1955), Lamarckian in the human evolution (Yeas, 1993), holistic Darwinism (Coming, 2005), technological singularity (Kurzweil, 2005), creative class (Florida, 2002-2008) and converting NBIC(Nano-Bio-lnfo-Cogno) technologies. Biological evolution enables us to anticipate social evolution towards creative society. Wed, 11 Sep 2024 16:22:49 +0200 Wed, 11 Sep 2024 16:23:01 +0200 https://popups.uliege.be/3041-539x/index.php?id=3160 https://popups.uliege.be/3041-539x/index.php?id=2587 The aim of research is - to analyze decision making process under conflict solving situation by using modeling as anticipatory creative way informational analysis by synthesis procedure, paying attention to the process of forgiveness as the most creative decision. Decision making process is informational creative procedure, which is made by neocortex using creative way of analysis by Synthesis or using more general understanding of closed-loop coding-decoding method. In this way we can analyze all ways of decisions as codes of different strategies. In conflict situation neocortex is creating virtual plans for implementation of every possible strategy and according to the results of modeling is choosing one strategy and appropriate plan of tactics of behavior. This is model-based anticipation. Thu, 29 Aug 2024 14:36:20 +0200 Thu, 29 Aug 2024 14:36:27 +0200 https://popups.uliege.be/3041-539x/index.php?id=2587 https://popups.uliege.be/3041-539x/index.php?id=2545 The article deals with the problem of development of creative thinking. There are different and opposite perspectives in psychology and education analysing the possibilities to train creative thinking of children, adolescence and adults. The authors suggest that it is possible to train creative thinking of children using special creative learning methods and creating special conditions of students learning. The Anticipatory Model of Creative Thinking also is suggested. Thu, 29 Aug 2024 13:38:19 +0200 Thu, 29 Aug 2024 13:38:26 +0200 https://popups.uliege.be/3041-539x/index.php?id=2545 https://popups.uliege.be/3041-539x/index.php?id=2443 Evolutionary analysis of functional organization of nerve systems and of behavior shows five informational control levels (reflexic L.; multireflexic coordination L.; regulative L.; perceptronic analyzing L.; Analysis-by-Synthesis L .) that represent specific procedures of the closed loop coding-decoding. Maybe weak anticipative prediction is realized at simple reflection and multireflexic coordination structures, incursive anticipative feedback control - at regulation and simple analyzers structures, and strong anticipation - at neocortex structures that work by Analysis-by-Synthesis. The strong anticipation maybe is used only in brains of mammals and birds that are able to create models of future activities that means ability to think. Higher mammals especially apes and humans have sensory screens that enhance mental imaging in Area Striata zone. Tue, 20 Aug 2024 14:39:40 +0200 Tue, 20 Aug 2024 14:39:51 +0200 https://popups.uliege.be/3041-539x/index.php?id=2443 https://popups.uliege.be/3041-539x/index.php?id=2316 The Creative Thinking (CT) we can describe as ability to solve unusual problems, to create new original ideas, etc. As the study of Beresnevicius show it is possible to develop CT in young and middle adulthood. An anticipatory model of CT consists of the following parameters : flexibility, originality, fluency and elaboration. The intellectual abilities Int[tH] consist from two components : Creative abilities C[tH], and Learning contribution L[tH]. The mathematical model of the intellectual abilities Int[tH] = C[tH] + L[tH] = {C0MAX – [tH – T0H]²} + kL * tH Here C0MAX is maximum creative abilities, tH is age, kL is learning coefficient. Wed, 31 Jul 2024 13:26:55 +0200 Wed, 31 Jul 2024 13:31:19 +0200 https://popups.uliege.be/3041-539x/index.php?id=2316 https://popups.uliege.be/3041-539x/index.php?id=1674 Activities of living beings are presented as bioinformation procedures of closed-looped coding-decoding. In the process of coding, dynamic states of real dynamical structures of matter and energy are reflected in states of memory structures (DNA, hormones, neuronets). In the process of decoding the activated states of the structures of the memory are re-reflected in the dynamic states of the real structures of matter and energy. This is the essence of control. Biological evolution is interpreted as formation of hierarchically organized dynamic structures of closed-looped coding-decoding and reproduction of them. Increased complexitv of these structures determines a higher level of control. Mon, 15 Jul 2024 16:47:08 +0200 Tue, 08 Oct 2024 14:42:48 +0200 https://popups.uliege.be/3041-539x/index.php?id=1674 https://popups.uliege.be/3041-539x/index.php?id=952 The concept of an organized system and the historical review of the problem are presented. The concept explains biological phenomena and cybernetics systems in a point of view of functional organization. Cybernetics and information theory consider physical and chemical transformations of energy and matter in organized systems only as signals and a means for realization of some purposive informational control programs. Life (or Artificial Life) is considered to be an adaptive system that stores information. The more such a biological (or artificial) system (species) is effective in storing and using information, the fitter the programs are. Evolution of systems from non-organized and dissipative transformations through elementary organized-regulators, programmed controllers, servo-controllers up to anticipatory systems is discussed. The elementary functional components of a biological cell, a multicellular organism, and an animal are analysed as organized system Mon, 01 Jul 2024 15:28:37 +0200 Mon, 01 Jul 2024 15:28:49 +0200 https://popups.uliege.be/3041-539x/index.php?id=952