http://popups.lib.uliege.be/1373-5411/index.php?id=303 Index terms fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=4665 Science attempts to understand life systems. While physical systems are signified by status, life systems are evidenced by function and organ. As anticipatory systems their behaviour relies on embodied memories of their past and probable future. Complexity and semiosis act as drivers of evolution; anticipation as constituting principle of life systems. Complexity implies unfolding and re-enfolding guiding differentiation and growth. Semiosis generates intent and meaning ensuring viable simplicity. Interacting, they open potentiality and fields of probability for development. The dynamic entailment of complexity and meaning structures all life systems up to mental constructs. - An overarching concept embraces the pattems of life. It sheds light on the fundamental changes concerning life conditions in society and ecology. Mon, 14 Oct 2024 16:02:47 +0200 Thu, 17 Oct 2024 11:58:46 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=4665 http://popups.lib.uliege.be/1373-5411/index.php?id=3859 Information and communication technology (ICT) increasingly controls life and social life. It rests on programmed software, creating formal models of life systems. Resting on which constitutional/evolutional qualities can life systems formally be described? Models are simplifications of realty constrained by purpose. What may they mean for life systems controlled concerning their further development? If but mosaically the paper highlights base formal modelling constituting life systems proposing a transdisciplinary approach. Movement and rhythm ground learning and information transfer. Representation and memory of models of the past and the future originate anticipation. Modelling creates a language of signs, supporting pragmatic heuristics. Modelling copes with complexity generating simplicity in behaviour and handling. Mon, 30 Sep 2024 14:19:39 +0200 Thu, 10 Oct 2024 10:47:59 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3859 http://popups.lib.uliege.be/1373-5411/index.php?id=3534 What will Happen in Case, and Why ? How will future development turn out? In pursue of well founded rational answers by anticipating, science explores the behavior and emergence of complex systems. To understand them pragmatically, object- and issue related, transdisciplinary co-operation is challenged. To this end recently the need for transdisciplinary models and semantics is stressed. Transdisciplinarity inquires into the shared base of disciplines. Systemics and Evolution approach in particular qualify as (also ontological) bases. Tue, 24 Sep 2024 10:36:42 +0200 Thu, 10 Oct 2024 10:47:19 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3534 http://popups.lib.uliege.be/1373-5411/index.php?id=1517 Different mechanisms of the biosphereevolution are described in this article. The physical evolution which is the increasing of energyflow passing through the biosphere plays main role before the origin of man.This increasing is a consequence of perfection of photosynthetic possibilities of plant communities and of all biosphere system. It is shown that ihe life uses optimal evolutionary ways for physical evolution and, hence, optimal behavioural reactions in every moment of evolutionary time. The ultra-rate evolution of the modern biosphere is connected with a human activity which is not possible without informational exchange between individuals. This exchange leads to training of individuals to new ways of survival and, therefore,to modifications of ecological niches of humansub-populations and ecological licences of the biosphere. The mechanisms of both producing of new information in human community and dissemination of this information are considered. One of the important deductions of the such approach is the rates of these processes depend strongly on the parameter which is named as a priori values of information. The evolutionary modifications of the modern biosphere are interconnected not only with slow physical evolution but with very fast cognitive anticipatory evolution. Mon, 15 Jul 2024 10:33:48 +0200 Thu, 10 Oct 2024 10:43:45 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1517 http://popups.lib.uliege.be/1373-5411/index.php?id=2605 This paper describes an approach to generate a sequence requiring an unrealizable function by programs, such as a flash that is required especially in creative activity of a human. We have already proposed a recurrent neural network that demonstrates a generation of several creative sequences, but convergency and stability problems occur. On the other hand, it is known in biological experiments where the chaotic sequences can be observed from brain waves. The neural network constructed from chaotic neurons has nonlinear dynamics, but there remains the difficulty of training method. We propose an evolutional methodology to train a chaotic neural network, and introduce Darwinism for its evolving process. To determine their most suitable structure and the weights of connection, we use AIC for the fitness value. Thu, 29 Aug 2024 15:07:30 +0200 Tue, 08 Oct 2024 14:04:11 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2605 http://popups.lib.uliege.be/1373-5411/index.php?id=2772 In this article it isn't discussed concrete chemical mechanisms of origin of life but is given some common considerations, which can promote to the critical comprehension of existing approaches. The second section concerns physical, cybernetic and anticipatory aspects of the life evolution. The different approaches to the problems of biological evolution are discussed in the third section of the article. The attention is focused on the biosphere evolution, which is regarded as the control factor for the biological evolution. In the fourth section the problem of the origin of life is discussed. One of the conclusions is the mechanism of panspermic hypothesis could work only if the conditions on planet has specific features which can be described within a framework of so called the embryosphere hypothesis. Mon, 02 Sep 2024 10:48:59 +0200 Tue, 08 Oct 2024 13:59:46 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2772 http://popups.lib.uliege.be/1373-5411/index.php?id=3884 The plans, history and state-of-the-art concerning Synthetic Biology are presented. Its first general formulation dates back to the 70s, and its development is now increasing, with recent great successes digging deeply into biosystem structure-function, with near- future plans and the present capital investments. Ecological and ethical problems have been raised that might delay such plans, and in spite of its successes, Synthetic Biology and its branch Synthetic Life that aims at recreating life itself, both as an extreme engineering effort whose enabling technologies stem from biosystem Nanophysics and Nanoengineering, lack the background for realization of their most advanced purposes: attaining the ability to nanoengineer biological members as genes, genomes, subcellular members, cells and tissues, up to recreating life in the lab through ab initio processes. Tue, 01 Oct 2024 10:17:46 +0200 Tue, 01 Oct 2024 10:17:55 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3884 http://popups.lib.uliege.be/1373-5411/index.php?id=3166 The problem of origin of the life is broadly being discussed during very long time. The majority of the theories are founded on different hypotheses which describe origin of primary primitive organisms by some non-biological ways, for example, by self-organization of non-living substances. The origin of the biosphere (Gaia) is considered within a framework of such approaches as one of consequences of the origin and subsequent expansion of different species. At that the biosphere is described as simple sum of all organisms but not as united functional system. On the other hand, it is known that any terrestrial organisms are not able to survive and to reproduce outside the biosphere as well as without interactions with other organisms (this is possible sometimes but during only restricted time). Therefore the hypothesis about simultaneous origin of organisms and biosphere is looked quite probable. But such approach leads to several assumptions, in particular about inclusion of earliest forms of pre-life into planetary circulations. Wed, 11 Sep 2024 16:23:50 +0200 Wed, 11 Sep 2024 16:24:06 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3166 http://popups.lib.uliege.be/1373-5411/index.php?id=2228 Experience of evolutionary simulation is described in the article. The first presented program simulates the macroevolution of Chordata animals inside the space with different environments. Darwinian regulations of mutating and competition were set at the initial program version, but the model shows this is not enough to explain known particularities of biological evolution. Another model demonstrates that the evolutionary stability of species is a consequence of prohibitions on some types of evolutionary modifications. Our new simulation uses alike principles as the above but this model concerns the evolution of the human ethno-populations. The central feature, which distinguishes the man evolution from other cases, is that the interaction between man-populations and environment is controlled by human culture. Tue, 30 Jul 2024 15:10:40 +0200 Tue, 30 Jul 2024 15:10:50 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2228 http://popups.lib.uliege.be/1373-5411/index.php?id=1072 The auto-regulation phenomena are fundamental properties for biological systems of various levels of biological organization ( organisms, ecosystems, biosphere). At present, in spite of the brilliant successes in cybernetics, the investigations of the auto-regulation for living systems in context of their development or/and evolution are hampered by essential theoretical and methodological difficulties. In this paper we present several simple approaches which can give some basis to elaborate in the future new quantitative models in above fields. The first approach concerns the management of energy flows, the second one introduces the concept of the so called "the Life Demon". The Demon is specific non-material object which is factually an algorithm and which can propagate by the alike way as it does virus. The third approach results in the simple type of electronic model which describes some features of behaviour for the objects of the first and of the second approaches, in particular, auto-regulation activity, searching activity, anticipatory behavior. We suppose that these approaches can be joined and perfected in the future with use of the balance kinetic models of auto-regulations for the cases of quasi-isolated ecosystems and for biosphere. Fri, 05 Jul 2024 11:20:37 +0200 Fri, 05 Jul 2024 11:20:55 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1072