Categorical Ontology of Complex Systems, Meta-Systems and Theory of Levels: The Emergence of Life, Human Consciousness and Society

Single cell interactomics in simpler organisms, as well as somatic cell interactomics in multicellular organisms, involve biomolecular interactions in complex signalling pathways that were recently represented in modular terms by quantum automata with ‘reversible behavior’ representing normal cell cycling and division. Other implications of such quantum automata, modular modeling of signaling pathways and cell differentiation during development are in the fields of neural plasticity and brain development leading to quantum-weave dynamic patterns and specific molecular processes underlying extensive memory, learning, anticipation mechanisms and the emergence of human consciousness during the early brain development in children. Cell interactomics is here represented for the first time as a mixture of ‘classical’ states that determine molecular dynamics subject to Boltzmann statistics and ‘steady-state’, metabolic (multi-stable) manifolds, together with ‘configuration’ spaces of metastable quantum states emerging from complex quantum dynamics of interacting networks of biomolecules, such as proteins and nucleic acids that are now collectively defined as quantum interactomics. On the other hand, the time dependent evolution over several generations of cancer cells --that are generally known to undergo frequent and extensive genetic mutations and, indeed, suffer genomic transformations at the chromosome level (such as extensive chromosomal aberrations found in many colon cancers)-- cannot be correctly represented in the ‘standard’ terms of quantum automaton modules, as the normal somatic cells can. This significant difference at the cancer cell genomic level is therefore reflected in major changes in cancer cell interactomics often from one cancer cell ‘cycle’ to the next, and thus it requires substantial changes in the modeling strategies, mathematical tools and experimental designs aimed at understanding cancer mechanisms. Novel solutions to this important problem in carcinogenesis are proposed and experimental validation procedures are suggested. From a medical research and clinical standpoint, this approach has important consequences for addressing and preventing the development of cancer resistance to medical therapy in ongoing clinical trials involving stage III cancer patients, as well as improving the designs of future clinical trials for cancer treatments.\ud \ud \ud KEYWORDS: Emergence of Life and Human Consciousness;\ud Proteomics; Artificial Intelligence; Complex Systems Dynamics; Quantum Automata models and Quantum Interactomics; quantum-weave dynamic patterns underlying human consciousness; specific molecular processes underlying extensive memory, learning, anticipation mechanisms and human consciousness; emergence of human consciousness during the early brain development in children; Cancer cell ‘cycling’; interacting networks of proteins and nucleic acids; genetic mutations and chromosomal aberrations in cancers, such as colon cancer; development of cancer resistance to therapy; ongoing clinical trials involving stage III cancer patients’ possible improvements of the designs for future clinical trials and cancer treatments. \ud \u

Some resonances between Eastern thought and Integral Biomathics in the framework of the WLIMES formalism for modelling living systems

Forty-two years ago, Capra published “The Tao of Physics” (Capra, 1975). In this book (page 17) he writes: “The exploration of the atomic and subatomic world in the twentieth century has …. necessitated a radical revision of many of our basic concepts” and that, unlike ‘classical’ physics, the sub-atomic and quantum “modern physics” shows resonances with Eastern thoughts and “leads us to a view of the world which is very similar to the views held by mystics of all ages and traditions.“ This article stresses an analogous situation in biology with respect to a new theoretical approach for studying living systems, Integral Biomathics (IB), which also exhibits some resonances with Eastern thought. Stepping on earlier research in cybernetics1 and theoretical biology,2 IB has been developed since 2011 by over 100 scientists from a number of disciplines who have been exploring a substantial set of theoretical frameworks. From that effort, the need for a robust core model utilizing advanced mathematics and computation adequate for understanding the behavior of organisms as dynamic wholes was identified. At this end, the authors of this article have proposed WLIMES (Ehresmann and Simeonov, 2012), a formal theory for modeling living systems integrating both the Memory Evolutive Systems (Ehresmann and Vanbremeersch, 2007) and the Wandering Logic Intelligence (Simeonov, 2002b). Its principles will be recalled here with respect to their resonances to Eastern thought

EXPERIENCES AND TENDENCIES TO DECENTRALIZE THE CAPABILITIES OF THE ECONOMIC POLICY AT THE EUROPEAN UNION LEVEL

Romania's integration in the European Union implies, apart the complex process of policy transfer, the learning of new modes to make policies characteristic to a multi-level governance and partnership culture. Of the different levels of governance of the European model, the regional level ("regional governance") most faithfully reflects, in our opinion, the complexity of reconfiguring the role of state in economy, at the beginning of this new millennium, in the European Union space and presents the highest practical importance for Romania, as a new Member State of the European Union, for, at the regional level, the structures are more flexible and the good practices are more rapidly assimilable. The selection of the best regional growth and development economic policies, the choosing of the objectives out of a series of competing options, the calibration in time and space of powers, roles, capabilities, and responsibilities and the encouragement of the win-win solutions call upon the choice and combination of some appropriate and efficient instruments. Representative for the new context, the regional growth and development policy must integrate, in Romania too, more knowledge, more creativity, new combinations of capabilities and new fields of expertise. This paper presents preliminary research results afferent to the post-doctoral research project: "Growth and regional development economic policies. Challenges for Romania in the context of economic-financial crisis and European model integration", carried out in the project "Economic scientific research, reliance of human welfare and development in European context", the Romanian Academy, "Costin C. Kiriţescu" National Institute for Economic Research, project financed for the 2010-2013 period from the European Social Fund (EFS) and implemented by the Romanian Academy, "Costin C. Kiriţescu" National Institute for Economic Research, in the period of time 1 December 2010 - 30 November 2012, coordinator: Professor Dr. Valeriu Ioan Franc. The question we intend to answer, in the present phase of our research, based on the comparative analysis of the decentralisation systems of several Member States of European Union, respectively on the analysis of the regional disparities existing at the European Union level and of the effects of the economic integration, is - to what extent the capabilities of the regional policy should rather be concentrated in the hands of regional authorities or of the European Union than to be left individually to the Member States which should conceive their own regional policy? What we intend in this paper, based on the analysis of some experiences to decentralize the capabilities of economic policy at the European Union level, is to identify the regional implications of the interconnection of decentralization, centralization, respectively supra-nationalization tendencies and, implicitly, the analysis of the way to reconfigure the role of state in economy at the regional level, in the context of integration in the European model. The examination of the way to reconfigure the role of state in economy at regional level requires the review of the allocative, distributive, and regulating roles of the state from a regional perspective, the analysis, on one side, of the decentralization of economic policy capabilities from the national level to the regional level (for example, national level: pure public goods supply, for instance, national defence and the centralization of fiscal policy capabilities in order to achieve macroeconomic stability and revenue redistribution; regional level: mixed public goods supply, for instance, waste collection and community policy), on the other hand, the centralization/decentralization of regional capabilities at the European Union level.European integration, role of state in economy, decentralization, regional governance, regional growth and development policy

Empirical approaches for investigating the origins of structure in speech

© John Benjamins Publishing Company. In language evolution research, the use of computational and experimental methods to investigate the emergence of structure in language is exploding. In this review, we look exclusively at work exploring the emergence of structure in speech, on both a categorical level (what drives the emergence of an inventory of individual speech sounds), and a combinatorial level (how these individual speech sounds emerge and are reused as part of larger structures). We show that computational and experimental methods for investigating population-level processes can be effectively used to explore and measure the effects of learning, communication and transmission on the emergence of structure in speech. We also look at work on child language acquisition as a tool for generating and validating hypotheses for the emergence of speech categories. Further, we review the effects of noise, iconicity and production effects

How can innovation economics benefit from complex network analysis?

There is a deficit in economics of theories and empirical data on complex networks, though mathematicians, physicists, biologists, computer scientists, and sociologists are actively engaged in their study. This paper offers a focused review of prominent concepts in contemporary thinking in network research that may motivate further theoretical research and stimulate interest of economists. Possible avenues for modelling innovation, considered the driving force behind economic change, have been explored. A transition is needed from the analysis in economics of the transaction to the explicit examination of market structure and how it processes, or is processed by, innovation.Network; statistics; economy; innovation; modelling