http://popups.lib.uliege.be/1373-5411/index.php?id=609 Index terms fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=4696 Today in astronomy and astrophysics we have a lot of facts, which need the new explanation. On another side we have the new scientific directions – cybernetics, system analysis, synergetics and informatics, which used for study of complex systems in biology, economics and technics, and naturally to try to consider Universe how complex system and to use the accumulated arsenal of instruments of investigation of self-organizational system. This report is the attempt in this direction. We examine the linguo-combinatorial simulation of solar system, where used how key words the names of planets, and detect the structural uncertainty in equivalent equations systems, which can used for adaptation in flow of changes. The constructed self-organized system is the basic building block, which can create collective on different levels – planetary, galactic, etc. Star clusters are the basic blocks for creation of equivalent equations with structural uncertainty, which can use for stabilization of systems. Today the understanding of asteroid hazard for mankind is confirmed by means of big amount of experimental facts and theoretical simulation results. The size of asteroids increase the degree of danger, it is obviously impossibility of catastrophe for big asteroids if we will be stay on old scientific paradigm. In this paper we try to search the way from dangerous situation on basement of linguo-combinatorial simulation of complex planet systems. If we shall take the key words - Sun, Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto - 10 variables, we shall have the equivalent equations with 45 arbitrary coefficients. In this equations system A1 – characteristics of Sun, E1 - variation of this characteristics, A2 – characteristics of Mercury, E2 – variation of this characteristics, …, U1, U2,… , U45 – arbitrary coefficients, which permit to control of characteristics. The discovery of this new possibility is very important for mankind in view of asteroids hazard. Big hope is the discovery of new methods for planet processes control. For stability the sun system must be in the adaptation maximum zone. Mon, 14 Oct 2024 16:34:42 +0200 Mon, 14 Oct 2024 16:34:50 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=4696 http://popups.lib.uliege.be/1373-5411/index.php?id=4483 The conventional approach to computer programming using rewrite systems can be extended to create a universal rewrite system, which provides a computational approach to both physics and mathematics, based on the idea of a zero totality alphabet. Mathematics emerges from the system in the form of a Clifford-type algebra, while physics takes the form of nilpotent quantum mechanics (NQM). The most significant characteristic of NQM is that the quantum system (fermion state) and its environment (vacuum) are mathematical mirror images of each other. So a change in one automatically leads to corresponding changes in the other. We have used this characteristic as a model for self-organization, which has applications well beyond quantum physics. The nilpotent structure, seen as emerging from two commutative vector spaces, has a number of identifiable characteristics which we can expect to find in systems where self-organization is dominant; a recent case involves the neurons in the visual cortex. We expect to find many complex systems where our general principles, based, by analogy, on NQM, will apply. Fri, 11 Oct 2024 15:43:24 +0200 Fri, 11 Oct 2024 15:43:44 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=4483 http://popups.lib.uliege.be/1373-5411/index.php?id=4457 The universal rewrite system, which has previously been applied especially to the generation of the number system and to nilpotent quantum mechanics, not only provides a generalised description for all natural processes but also creates a direct measure of entropy increase and of information transfer, which is especially significant for systems on the edge of chaos. Entropy and information can be shown to have a direct connection with the concept of the generation of the number field at a very fundamental level. Fri, 11 Oct 2024 11:05:08 +0200 Fri, 11 Oct 2024 11:05:28 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=4457 http://popups.lib.uliege.be/1373-5411/index.php?id=3395 Both theoretical and recent experimental results show that evolutionary systems are necessarily endowed with anticipatory and holistic properties. As a consequence, the act of dialoguing analyzed through entropy exchanges and interference of noise is doomed to be somewhat delusive. The loophole out of microanatomy complementarity as the actual incommunicable unsplittable, holistic self can be an energy-free, i.e. purely non commutative geometric, approach to its hierarchical dynamics or in a co-evolutionary process involving the dialoguing partners. Mon, 16 Sep 2024 12:35:53 +0200 Tue, 08 Oct 2024 15:00:59 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3395 http://popups.lib.uliege.be/1373-5411/index.php?id=1487 We studied the chemo-tactical behavior of an amoeboid multinuclear cell, Physarum polycephalum plasmodium, and observed a local deviation within the organism played the key role to escape from a severe environmental condition. The organism has been studied as coupled nonlinear oscillators system, which is one of the famous self-organizing system for the study of morphogenesis. Such a model frequently concentrated on cohesive force that makes the non-differential organism maintain as a single individual avoiding from separation. Deviation from cohesion is frequently regarded as extrinsic perturbation. However, the drastic change of development of the organism shown in our experiments cannot explain by the external stochastic perturbation. From experimental facts, we, by contrast, focused on the duality of cohesive and deviational force. We have constructed a new model introducing such a duality by an interface of a self-similar transition map, which is temporally constructed by neighbors'states. Because of such a non-differentiable transition map, even if an initial state of one element would be close to another one, the state transition of them is not always similar each other. Such a duality thus implies the idea of incomplete identification for an element that has just the limited information. We tested our model and showed the possibility that such an incomplete identification, by contrast, could drive the global coordinating featuring the plasticity as a single system. Fri, 12 Jul 2024 15:15:39 +0200 Tue, 08 Oct 2024 13:48:55 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1487 http://popups.lib.uliege.be/1373-5411/index.php?id=3601 We propose an operational research contribution to clinical psychopharmacology ; the key problems of drug selection and outcome prediction are tackled in a retrospective study about Mood and Anxiety Disorders focusing on sertraline, a selective inhibitor of serotonin reuptake. A three-step approach to data coding, clinical modeling and rule extraction is proposed, based on topographical techniques (Kohonen's Self-Organizing Maps) and information theory (Shannon entropy and mutual information). Clinical data are bitwise sampled, allowing an unbiased definition of system metrics. Uncertainty measures are introduced for a real-world sized approach to clinical practice; top-down induction decision trees (TDIDT) for drug administration are proposed, and a default logic of prescription is analyzed in the light of direct clinical experience and available literature data. Thu, 26 Sep 2024 10:13:22 +0200 Tue, 08 Oct 2024 13:28:18 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3601 http://popups.lib.uliege.be/1373-5411/index.php?id=2439 Features of anticipation are compared in human and AI systems. In AI systems, a concept's semantic space is equal to, or smaller than, what is strictly defined by all occurrences of the concept within the system. While in a human cognitive system, the semantic space of a concept is always larger, more complex, divergent, and frizzy, than what has been theorized or formalized. A crucial superiority of a human anticipatory system(over the AI one) is to be able to view a crisis situation in its globality, according to values of the highest order. Specific matrixes of logic and knowledge are used by the mind for analyzing and understanding situations and experiences: the logfields. A metamodel, by interweaving different scientific logfields, may create a multidimensional cognitive space in which divergence and variety of worldviews enrich the collectivity. Tue, 20 Aug 2024 12:48:57 +0200 Mon, 07 Oct 2024 15:53:31 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2439 http://popups.lib.uliege.be/1373-5411/index.php?id=633 Experimental evidence suggests that modification of synaptic strength in the brain does not depend on co-activation of two connected neurons, as is assumed in most theoretical work since the proposals of Hebb (Hebb, 1949). Instead,through independent post-and presynaptic rules multiple modifications occur simultaneously at various sites in the nervous system. To account for this data, various researchers (Edelman, Fuster,...) propose an extension of the self-organising PDP approach to populational thinking. However, as in the PDP approach, the selection rules they propose only account for dynamical evolution of the system towards point attractors. The learning strategy of the networks is therefore still a purely bottom-up strategy. Experiments on visual perception seem to indicate that even low level visual processes can converge to more than one attractor (ambiguous figures, binocular rivalry), to limit cycles (oscillatory behaviour)or low-dimensional chaotic attractors. I argue to extend the neural network models of perceptual categorization to dynamical attractors and to include the multipticity of forms created by the autonomous, nonlinear brain dynamics as a complementary source of variation on which constraints of higher cognitive processes can act. Fri, 28 Jun 2024 15:36:56 +0200 Mon, 07 Oct 2024 15:29:14 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=633 http://popups.lib.uliege.be/1373-5411/index.php?id=1068 Typically, we think of both artificial and natural computing devices as following rules that allow them to alter their behaviour (output) according to their environment (input). This approach works well when the environment and goals are well defined and regular. However, 1) the search time for appropriate solutions quickly becomes intractable when the input is not fairly regular, and 2) responses may be required that are not computable, either in principle, or given the computational resources available to the system. It may seem that there is no way to deal with these conditions, but if we think of systems as dynamical nonequilibrium autonomous entities, there are ways to deal with the unexpected and irregular by taking advantage of self-organising and self-preserving capacities of such systems. A generalised force acting on a system far from equilibrium will cause the system to reorganise itself in the direction of the generalised force in such a way as to minimise its effects (Nicolis and Prigogine, 1977), but there can be unpredictable effects in different generalised directions in the system's phase space. In order to preserve system integrity, these effects must be damped or used for further self-reorganisation, possibly starting a cascade effect that leaves the system in a substantially different state in which it can handle further instances of this sort of information. This model is similar to and extends the theoretical model of accommodation and assimilation of Piaget, derived from his observations of the development of intelligence in children. Fri, 05 Jul 2024 11:19:46 +0200 Mon, 07 Oct 2024 15:28:41 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1068 http://popups.lib.uliege.be/1373-5411/index.php?id=3291 The paper present a Biomimetic Morphogenetic model of self-organising software infrastructures that uses the egomorphic agents representing conjugate variables embedded in a network. In the proposed model, a conceptual purpose is projected into the self-organising network where nodes are associated with a characteristic variable (force) and at its edges - a dual variable (flux). In the proposed model, the convergent Projection Operator computes the sources of the force by which the sources of the flux and the divergent part that diffuse the flux in the network are computed. The sources of the forces and fluxes can be used to model the network infrastructure context. The dual sources are the tensor dual basis for vectors in non-Euclidean space while the Projection Operator is used to model a biomimetic system. The concept of Egomorphic Agents is used to define a conceptual scheme for modeling biomimetic and allometric software infrastructures. Fri, 13 Sep 2024 15:09:02 +0200 Mon, 07 Oct 2024 15:27:57 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3291