176 research outputs found

    Emerging Consciousness as a Result of Complex-Dynamical Interaction Process

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    A quite general interaction process within a multi-component system is analysed by the extended effective potential method, liberated from usual limitations of perturbation theory or integrable model. The obtained causally complete solution of the many-body problem reveals the phenomenon of dynamic multivaluedness, or redundance, of emerging, incompatible system realisations and dynamic entanglement of system components within each realisation. The ensuing concept of dynamic complexity (and related intrinsic chaoticity) is absolutely universal and can be applied to the problem of consciousness that emerges now as a high enough, properly specified level of unreduced complexity of a suitable interaction process. This complexity level can be identified with the appearance of bound, permanently localised states in the multivalued brain dynamics from strongly chaotic states of unconscious intelligence, by analogy with classical behaviour emergence from quantum states at much lower levels of world dynamics. We show that the main properties of this dynamically emerging consciousness (and intelligence, at the preceding complexity level) correspond to empirically derived properties of natural versions and obtain causally substantiated conclusions about their artificial realisation, including the fundamentally justified paradigm of genuine machine consciousness. This rigorously defined machine consciousness is different from both natural consciousness and any mechanistic, dynamically single-valued imitation of the latter. We use then the same, truly universal concept of complexity to derive equally rigorous conclusions about mental and social implications of the machine consciousness paradigm, demonstrating its indispensable role in the next stage of civilisation development

    Complex-Dynamical Extension of the Fractal Paradigm and Its Applications in Life Sciences

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    Complex-dynamical fractal is a hierarchy of permanently, chaotically changing versions of system structure, obtained as the unreduced, causally probabilistic general solution of arbitrary interaction problem (physics/0305119, physics/9806002). Intrinsic creativity of this extension of usual fractality determines its exponentially high operation efficiency, which underlies many specific functions of living systems, such as autonomous adaptability, "purposeful" development, intelligence and consciousness (at higher complexity levels). We outline in more detail genetic applications of complex-dynamic fractality, demonstrate the dominating role of genome interactions, and show that further progressive development of genetic research, as well as other life-science applications, should be based on the dynamically fractal structure analysis of interaction processes involved. The obtained complex-dynamical fractal of a living organism specifies the intrinsic unification of its interaction dynamics at all levels, from genome structure to higher brain functions. We finally summarise the obtained extension of mathematical concepts and approaches closely related to their biological applications

    Realistic description of causality in truly complex hierarchical structures

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    In his recent essay article entitled "Physics, Complexity and Causality" (Nature 435, 743; 2005) George Ellis states that despite well-known successes of physics "we still do not have a realistic description of causality in truly complex hierarchical structures". Whereas one can only support the author's view that such description is increasingly desirable, the main statement suffers from essential incompleteness, since a realistic, mathematically rigorous and universally applicable description of detailed cause-effect links in truly complex systems, including e.g. emergent consciousness dynamics, does exist and is easily accessible through internet sources. As these results have been successfully presented at many international conferences (and even published!), the true problem is not the absence of realistic complexity description, but its intentional neglect, without any scientific objection, by the same physics establishment that insists (rightly) upon the necessity of that "new kind of science". As today's science has started to strongly modify the whole depth of unreduced dynamic complexity at all its levels using purely empirical, blind technology, further intentional rejection of consistent understanding of the real world complexity inevitably leads to destructive, catastrophically growing consequences

    The Last Scientific Revolution

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    Critically growing problems of fundamental science organisation and content are analysed with examples from physics and emerging interdisciplinary fields. Their origin is specified and new science structure (organisation and content) is proposed as a unified solution

    Universal Dynamic Complexity as the Basis for Theoretic Ecology and Unified Civilisation Transition to Creative Global Sustainability

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    The recently proposed new, universally applicable, rigorously derived and reality-based concept of dynamic complexity provides a unified basis for the causally complete understanding of any real, multi-component and multi-level system of interacting entities, including the case of earth system and global civilisation development. This crucial extension with respect to other existing notions of complexity is obtained due the unrestricted, universally nonperturbative analysis of arbitrary interaction process leading to the new, rigorously derived concept of dynamically multivalued (redundant) entanglement of interacting components. Any real system with interaction is described as a sequence of autonomously emerging "levels of complexity", where each level includes unceasing, dynamically random change of multiple system configurations, or "realisations", each of them resulting from dynamic entanglement of interaction components coming, generally, from lower complexity levels. Dynamic complexity as such is universally defined as a growing function of the number of those explicitly obtained system realisations (or related rate of their change). Mathematically rigorous, realistic and universal nature of unreduced dynamic complexity determines its unique role as a basis for theoretical ecology. This conclusion is confirmed by several directions of universal complexity application to global change understanding and monitoring. They include the rigorously substantiated necessity of civilisation transition to the superior level of complexity involving new, intrinsically unified and causally complete kind of knowledge (initiated by the "universal science of complexity"), qualitatively new kind of material production, social structure, and infrastructure. We show why that new level of civilisation development is intrinsically "sustainable", i. e. characterised by creative, complexity-increasing interaction between "production" and "natural resources" that replaces current contradiction between them

    Unreduced Dynamic Complexity: Towards the Unified Science of Intelligent Communication Networks and Software

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    Operation of autonomic communication networks with complicated user-oriented functions should be described as unreduced many-body interaction process. The latter gives rise to complex-dynamic behaviour including fractally structured hierarchy of chaotically changing realisations. We recall the main results of the universal science of complexity (http://cogprints.org/4471/) based on the unreduced interaction problem solution and its application to various real systems, from nanobiosystems (http://cogprints.org/4527/) and quantum devices to intelligent networks (http://cogprints.org/4114/) and emerging consciousness (http://cogprints.org/3857/). We concentrate then on applications to autonomic communication leading to fundamentally substantiated, exact science of intelligent communication and software. It aims at unification of the whole diversity of complex information system behaviour, similar to the conventional, "Newtonian" science order for sequential, regular models of system dynamics. Basic principles and first applications of the unified science of complex-dynamic communication networks and software are outlined to demonstrate its advantages and emerging practical perspectives

    Towards Sustainable Future by Transition to the Next Level Civilisation

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    Universal and rigorously derived concept of dynamic complexity (ccsd-00004906) shows that any system of interacting components, including society and civilisation, exists only as a process of highly inhomogeneous, qualitative development of its complexity. Modern state of civilisation corresponds to the end of unfolding of a big enough level of complexity. Such exhausted, totally “replete” structure cannot be sustainable in principle and shows instead increased instability, realising its inevitable replacement by a new kind of structure with either low or much higher level of complexity (degrading or progressive development branch, respectively). Unrestricted sustainability can emerge only after transition to the next, superior level of civilisation complexity (ccsd-00004214), which implies qualitative and unified changes in all aspects of life, including knowledge, production, social organisation, and infrastructure. These changes are specified by the rigorous analysis of underlying interaction processes. The unitary, effectively one-dimensional and rigidly fixed kind of thinking, knowledge, and social structure at the current level of complexity will be replaced by “dynamically multivalued”, intrinsically creative kind of structure at the forthcoming superior level of development. We propose mathematically rigorous description of unreduced civilisation complexity development, including universal criterion of progress. One obtains thus a working basis for the causally complete, objectively exact and reliable development science and futurology.Universal science of complexity; dynamic multivaluedness; chaos; self-organisation; dynamically probabilistic fractal; dynamic information; dynamic entropy; symmetry of complexity; Unitary System; Harmonical System; sustainability transition; Revolution of Complexity; noosphere