Search results for 'Stochastic processes Congresses' (try it on Scholar)

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  1. Sergio Albeverio, Philippe Combe & M. Sirugue-Collin (eds.) (1982). Stochastic Processes in Quantum Theory and Statistical Physics: Proceedings of the International Workshop Held in Marseille, France, June 29-July 4, 1981. [REVIEW] Springer-Verlag.
  2. W. Gans, Alexander Blumen & A. Amann (eds.) (1991). Large-Scale Molecular Systems: Quantum and Stochastic Aspects--Beyond the Simple Molecular Picture. Plenum Press.
  3. Heinrich Mitter & Ludwig Pittner (eds.) (1984). Stochastic Methods and Computer Techniques in Quantum Dynamics. Springer-Verlag.
     
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  4.  8
    Tom Lindstrøm (2008). Nonlinear Stochastic Integrals for Hyperfinite Lévy Processes. Logic and Analysis 1 (2):91-129.
    I develop a notion of nonlinear stochastic integrals for hyperfinite Lévy processes and use it to find exact formulas for expressions which are intuitively of the form $\sum_{s=0}^t\phi(\omega,dl_{s},s)$ and $\prod_{s=0}^t\psi(\omega,dl_{s},s)$ , where l is a Lévy process. These formulas are then applied to geometric Lévy processes, infinitesimal transformations of hyperfinite Lévy processes, and to minimal martingale measures. Some of the central concepts and results are closely related to those found in S. Cohen’s work on stochastic (...)
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  5. W. Horsthemke & D. K. Kondepudi (eds.) (1984). Fluctuations and Sensitivity in Nonequilibrium Systems: Proceedings of an International Conference, University of Texas, Austin, Texas, March 12-16, 1984. [REVIEW] Springer-Verlag.
  6. K. -E. Hellwig & W. Stulpe (1983). A Formulation of Quantum Stochastic Processes and Some of its Properties. Foundations of Physics 13 (7):673-699.
    In an earlier paper by one of us [K.-E. Hellwig (1981)], elements of discrete quantum stochastic processes which arise when the classical probability space is replaced by quantum theory have been considered. In the present paper a general formulation is given and its properties are compared with those of classical stochastic processes. Especially, it is asked whether such processes can be Markovian. An example is given and similarities to methods in quantum statistical thermodynamics are pointed (...)
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  7.  17
    Oreste Nicrosini & Alberto Rimini (1990). On the Relationship Between Continuous and Discontinuous Stochastic Processes in Hilbert Space. Foundations of Physics 20 (11):1317-1327.
    Two different kinds of stochastic processes in Hilbert space used to introduce spontaneous localization into the quantum evolution are investigated. In the processes of the first type, finite changes of the wave function take place instantaneously with a given mean frequency. The processes of the second type are continuous. It is shown that under a suitable infinite frequency limit the discontinuous process transforms itself into the continuous one.
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  8.  21
    B. H. Lavenda (1979). On the Validity of the Onsager-Machlup Postulate for Nonlinear Stochastic Processes. Foundations of Physics 9 (5-6):405-420.
    It is shown that: (i) the Onsager-Machlup postulate applies to nonlinear stochastic processes over a time scale that, while being much longer than the correlation times of the random forces, is still much shorter than the time it takes for the nonlinear distortion to become visible; (ii) these are also the conditions for the validity of the generalized Fokker-Planck equation; and (iii) when the fine details of the space-time structure of the stochastic processes are unimportant, the (...)
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  9.  5
    Russell Hardin (1989). Ethics and Stochastic Processes. Social Philosophy and Policy 7 (1):69.
    There is some irony, and perhaps a bit of gallows humor, in opening a paper in this volume with the claim that “applied ethics” is a misnomer. Yet that claim is true in the following sense. What we need for most of the issues that have sparked the contemporary resurgence of moral and political theory is not the application of ethics as we know it, but the revamping of ethics to make it relevant to the issues we face. It is (...)
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  10. Bianca Vaterrodt-Plünnecke, Thomas Krüger & Jürgen Bredenkamp (2002). Process-Dissociation Procedure: A Testable Model for Considering Assumptions About the Stochastic Relation Between Consciously Controlled and Automatic Processes. Experimental Psychology 49 (1):3-26.
     
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  11.  22
    Stanley Gudder (1990). Quantum Stochastic Processes. Foundations of Physics 20 (11):1345-1363.
    We first define a class of processes which we call regular quantum Markov processes. We next prove some basic results concerning such processes. A method is given for constructing quantum Markov processes using transition amplitude kernels. Finally we show that the Feynman path integral formalism can be clarified by approximating it with a quantum stochastic process.
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  12.  12
    A. Barchielli, L. Lanz & G. M. Prosperi (1983). Statistics of Continuous Trajectories in Quantum Mechanics: Operation-Valued Stochastic Processes. [REVIEW] Foundations of Physics 13 (8):779-812.
    A formalism developed in previous papers for the description of continual observations of some quantities in the framework of quantum mechanics is reobtained and generalized, starting from a more axiomatic point of view. The statistics of the observations of continuous state trajectories is treated from the beginning as a generalized stochastic process in the sense of Gel'fand. An effect-valued measure and an operation-valued measure on the σ-algebra generated by the cylinder sets in the space of trajectories are introduced. The (...)
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  13.  13
    V. Buonomano & A. F. Prado de Andrade (1988). Stochastic Processes for Indirectly Interacting Particles and Stochastic Quantum Mechanics. Foundations of Physics 18 (4):401-426.
    This work has two objectives. The first is to begin a mathematical formalism appropriate to treating particles which only interact with each otherindirectly due to hypothesized memory effects in a stochastic medium. More specifically we treat a situation in which a sequence of particles consecutively passes through a region (e.g., a measuring apparatus) in such a way that one particle leaves the region before the next one enters. We want to study a situation in which a particle may interact (...)
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  14.  1
    L. Streit (1984). Stochastic Processes-Quantum Physics. In Heinrich Mitter & Ludwig Pittner (eds.), Stochastic Methods and Computer Techniques in Quantum Dynamics. Springer-Verlag 3--51.
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  15.  17
    C. Williams (forthcoming). Fast Quantum Algorithm for Predicting Descriptive Statistics of Stochastic Processes. Complexity.
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  16.  19
    S. W. Hinkley & Chris P. Tsokos (1975). Stochastic Processes in Particle-Number Fluctuations in an Electron-Photon Shower. Acta Biotheoretica 24 (1-2):58-74.
    The paper is concerned with the existence and asymptotic character of the nonlinear boundary value problemdG/dt=F ¦ –¦dF/dt=gG =k 1,G=k 2 as ¦– ¦ o+ The discussion is related to the problem of particle-number fluctuations in the theory of cosmic radiation andG andF denote respectively the probability generating functions for the electron distribution in an electron-initiated and a photon-initiated shower.A solution of the system satisfying the boundary conditions is constructed so that specified limiting conditions are fulfilled.
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  17.  4
    Min Xie, Karl Pribram & Joseph King (1994). Are Neural Spike Trains Deterministically Chaotic or Stochastic Processes? In Karl H. Pribram (ed.), Origins: Brain and Self-Organization. Lawrence Erlbaum 253--267.
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  18.  2
    Alasdair Urquhart (2004). Sergio Fajardo and H. Jerome Keisler. Model Theory of Stochastic Processes, Lecture Notes in Logic, Vol. 14. Association for Symbolic Logic, AK Peters, Ltd., Natick, Massachusetts, 2002, Xii+ 136 Pp. [REVIEW] Bulletin of Symbolic Logic 10 (1):110-112.
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  19. B. de Finetti (1966). COX, D. R. and MILLER, H. D. - The Theory of Stochastic Processes. Scientia 60:568.
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  20. W. Ebeling & L. Schimansky-Geier (1988). Stochastic Processes in Highdimensional Systems and Models of Evolution. In Frank Moss & P. V. E. McClintock (eds.), Noise in Nonlinear Dynamical Systems. Cambridge University Press 1.
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  21. V. Tonini (1969). BARTLETT, M. S. - An Introduction to Stochastic Processes. [REVIEW] Scientia 63 (4):528.
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  22. Alasdair Urquhart (2004). Model Theory of Stochastic Processes. [REVIEW] Bulletin of Symbolic Logic 10 (1):110-111.
     
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  23.  10
    Fred Attneave (1959). Stochastic Composition Processes. Journal of Aesthetics and Art Criticism 17 (4):503-510.
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  24. Ghiath Monnet (2011). Determination of the Activation Energy by Stochastic Analyses of Molecular Dynamics Simulations of Dislocation Processes. Philosophical Magazine 91 (29):3810-3829.
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  25.  77
    Christian List & Marcus Pivato, Dynamic and Stochastic Systems as a Framework for Metaphysics and the Philosophy of Science.
    Scientists often think of the world (or some part of it) as a dynamical system, a stochastic process, or a generalization of such a system. Prominent examples of systems are (i) the system of planets orbiting the sun or any other classical mechanical system, (ii) a hydrogen atom or any other quantum-mechanical system, and (iii) the earth’s atmosphere or any other statistical mechanical system. We introduce a simple and general framework for describing such systems and show how it can (...)
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  26. Kullervo Rainio (1986). Stochastic Field Theory of Behavior. Academic Bookstore [Distributor].
     
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  27.  25
    Dirk Helbing (1996). A Stochastic Behavioral Model and A?Microscopic? Foundation of Evolutionary Game Theory. Theory and Decision 40 (2):149-179.
  28.  20
    Thierry Magnac & Jean-Marc Robin (1999). Dynamic Stochastic Dominance in Bandit Decision Problems. Theory and Decision 47 (3):267-295.
    The aim of this paper is to study the monotonicity properties with respect to the probability distribution of the state processes, of optimal decisions in bandit decision problems. Orderings of dynamic discrete projects are provided by extending the notion of stochastic dominance to stochastic processes.
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  29.  15
    Joachim Keppler (2013). A New Perspective on the Functioning of the Brain and the Mechanisms Behind Conscious Processes. Frontiers in Psychology, Theoretical and Philosophical Psychology 4 (Article 242):1-6.
    An essential prerequisite for the development of a theory of consciousness is the clarification of the fundamental mechanisms underlying conscious processes. In this article I present an approach that sheds new light on these mechanisms. This approach builds on stochastic electrodynamics (SED), a promising theoretical framework that provides a deeper understanding of quantum systems and reveals the origin of quantum phenomena. I outline the most important concepts and findings of SED and interpret the neurophysiological body of evidence in (...)
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  30.  23
    Daniel J. Bedingham (2011). Relativistic State Reduction Dynamics. Foundations of Physics 41 (4):686-704.
    A mechanism describing state reduction dynamics in relativistic quantum field theory is outlined. The mechanism involves nonlinear stochastic modifications to the standard description of unitary state evolution and the introduction of a relativistic field in which a quantized degree of freedom is associated to each point in spacetime. The purpose of this field is to mediate in the interaction between classical stochastic influences and conventional quantum fields. The equations of motion are Lorentz covariant, frame independent, and do not (...)
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  31.  88
    Charlotte Werndl (2013). On Choosing Between Deterministic and Indeterministic Models: Underdetermination and Indirect Evidence. Synthese 190 (12):2243-2265.
    There are results which show that measure-theoretic deterministic models and stochastic models are observationally equivalent. Thus there is a choice between a deterministic and an indeterministic model and the question arises: Which model is preferable relative to evidence? If the evidence equally supports both models, there is underdetermination. This paper first distinguishes between different kinds of choice and clarifies the possible resulting types of underdetermination. Then a new answer is presented: the focus is on the choice between a Newtonian (...)
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  32. Maria Brincker & Elizabeth B. Torres (2013). Noise From the Periphery in Autism. Frontiers in Integrative Neuroscience 7:34.
    No two individuals with the autism diagnosis are ever the same—yet many practitioners and parents can recognize signs of ASD very rapidly with the naked eye. What, then, is this phenotype of autism that shows itself across such distinct clinical presentations and heterogeneous developments? The “signs” seem notoriously slippery and resistant to the behavioral threshold categories that make up current assessment tools. Part of the problem is that cognitive and behavioral “abilities” typically are theorized as high-level disembodied and modular functions—that (...)
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  33.  93
    A. Valdés-Hernández, L. De la Peña & A. M. Cetto (2011). Bipartite Entanglement Induced by a Common Background (Zero-Point) Radiation Field. Foundations of Physics 41 (5):843-862.
    This paper deals with an (otherwise classical) two-(non-interacting) particle system immersed in a common stochastic zero-point radiation field. The treatment is an extension of the one-particle case for which it has been shown that the quantum properties of the particle emerge from its interaction with the background field under stationary and ergodic conditions. In the present case we show that non-classical correlations—describable only in terms of entanglement—arise between the (nearby) particles whenever both of them resonate to a common frequency (...)
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  34.  67
    Charis Anastopoulos (2006). Classical Versus Quantum Probability in Sequential Measurements. Foundations of Physics 36 (11):1601-1661.
    We demonstrate in this paper that the probabilities for sequential measurements have features very different from those of single-time measurements. First, they cannot be modelled by a classical stochastic process. Second, they are contextual, namely they depend strongly on the specific measurement scheme through which they are determined. We construct Positive-Operator-Valued measures (POVM) that provide such probabilities. For observables with continuous spectrum, the constructed POVMs depend strongly on the resolution of the measurement device, a conclusion that persists even if (...)
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  35.  7
    L. De la Peña, A. Valdés-Hernández & A. M. Cetto (2009). Quantum Mechanics as an Emergent Property of Ergodic Systems Embedded in the Zero-Point Radiation Field. Foundations of Physics 39 (11):1240-1272.
    The present paper reveals (non-relativistic) quantum mechanics as an emergent property of otherwise classical ergodic systems embedded in a stochastic vacuum or zero-point radiation field (zpf). This result provides a theoretical basis for understanding recent numerical experiments in which a statistical analysis of an atomic electron interacting with the zpf furnishes the quantum distribution for the ground state of the H atom. The action of the zpf on matter is essential within the present approach, but it is the ergodic (...)
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  36.  7
    Ashot S. Gevorkyan (2011). Nonrelativistic Quantum Mechanics with Fundamental Environment. Foundations of Physics 41 (3):509-515.
    Spontaneous transitions between bound states of an atomic system, “Lamb Shift” of energy levels and many other phenomena in real nonrelativistic quantum systems are connected within the influence of the quantum vacuum fluctuations (fundamental environment (FE)) which are impossible to consider in the limits of standard quantum-mechanical approaches. The joint system “quantum system (QS) + FE” is described in the framework of the stochastic differential equation (SDE) of Langevin-Schrödinger (L-Sch) type, and is defined on the extended space R 3 (...)
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  37.  56
    A. Ranfagni, R. Ruggeri & A. Agresti (1998). Tunneling as a Stochastic Process. Foundations of Physics 28 (3):515-525.
    An alternative model for tunneling processes, based on the capability of the telegrapher's equation to describe stochastic processes, is able to account for delay time results of an optical experiment at the microwave scale, where superluminal behaviors have been evidenced.
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  38.  12
    L. De la Peña & A. M. Cetto (1975). Stochastic Theory for Classical and Quantum Mechanical Systems. Foundations of Physics 5 (2):355-370.
    We formulate from first principles a theory of stochastic processes in configuration space. The fundamental equations of the theory are an equation of motion which generalizes Newton's second law and an equation which expresses the condition of conservation of matter. Two types of stochastic motion are possible, both described by the same general equations, but leading in one case to classical Brownian motion behavior and in the other to quantum mechanical behavior. The Schrödinger equation, which is derived (...)
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  39. Soon-Lim Shin, Stochastic Description of Complex and Simple Spike Firing in Cerebellar Purkinje Cells.
    Cerebellar Purkinje cells generate two distinct types of spikes, complex and simple spikes, both of which have conventionally been considered to be highly irregular, suggestive of certain types of stochastic processes as underlying mechanisms. Interestingly, however, the interspike interval structures of complex spikes have not been carefully studied so far. We showed in a previous study that simple spike trains are actually composed of regular patterns and single interspike intervals, a mixture that could not be explained by a (...)
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  40.  7
    G. Adomian (1991). An Analytical Solution of the Stochastic Navier-Stokes System. Foundations of Physics 21 (7):831-843.
    This paper, using the author's decomposition method and recent generalizations, presents algorithms for an analytic solution of the stochastic Navier-Stokes system without linearization, perturbation, discretization, or restrictive assumptions on the nature of stochasticity. The pressure, forces, velocities, and initial/boundary conditions can be stochastic processes and are not limited to white noise. Solutions obtained are physically realistic because of the avoidance of assumptions made purely for mathematical tractability by usual methods. Certain extensions and further generalizations of the decomposition (...)
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  41.  10
    Jean-Claude Falmagne & Jean-Paul Doignon (1997). Stochastic Evolution of Rationality. Theory and Decision 43 (2):107-138.
    Following up on previous results by Falmagne, this paper investigates possible mechanisms explaining how preference relations are created and how they evolve over time. We postulate a preference relation which is initially empty and becomes increasingly intricate under the influence of a random environment delivering discrete tokens of information concerning the alternatives. The framework is that of a class of real-time stochastic processes having interlinked Markov and Poisson components. Specifically, the occurence of the tokens is governed by a (...)
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  42.  46
    A. C. Courville, N. D. Daw & D. S. Touretzky (2006). Bayesian Theories of Conditioning in a Changing World. Trends in Cognitive Sciences 10 (7):294-300.
  43.  18
    Charlotte Werndl (2011). On the Observational Equivalence of Continuous-Time Deterministic and Indeterministic Descriptions. European Journal for Philosophy of Science 1 (2):193-225.
    On the observational equivalence of continuous-time deterministic and indeterministic descriptions Content Type Journal Article Pages 193-225 DOI 10.1007/s13194-010-0011-5 Authors Charlotte Werndl, Department of Philosophy, Logic and Scientific Method, London School of Economics, Houghton Street, London, WC2A 2AE UK Journal European Journal for Philosophy of Science Online ISSN 1879-4920 Print ISSN 1879-4912 Journal Volume Volume 1 Journal Issue Volume 1, Number 2.
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  44. Christopher Belanger (2013). On Two Mathematical Definitions of Observational Equivalence: Manifest Isomorphism and Epsilon-Congruence Reconsidered. Studies in History and Philosophy of Science Part B 44 (2):69-76.
    In this article I examine two mathematical definitions of observational equivalence, one proposed by Charlotte Werndl and based on manifest isomorphism, and the other based on Ornstein and Weiss’s ε-congruence. I argue, for two related reasons, that neither can function as a purely mathematical definition of observational equivalence. First, each definition permits of counterexamples; second, overcoming these counterexamples will introduce non-mathematical premises about the systems in question. Accordingly, the prospects for a broadly applicable and purely mathematical definition of observational equivalence (...)
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  45.  94
    Gareth Ernest Boardman (2013). Addressing the Conflict Between Relativity and Quantum Theory: Models, Measurement and the Markov Property. Cosmos and History: The Journal of Natural and Social Philosophy 9 (2):86-115.
    Twenty-first century science faces a dilemma. Two of its well-verified foundation stones - relativity and quantum theory - have proven inconsistent. Resolution of the conflict has resisted improvements in experimental precision leaving some to believe that some fundamental understanding in our world-view may need modification or even radical reform. Employment of the wave-front model of electrodynamics, as a propagation process with a Markov property, may offer just such a clarification.
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  46.  66
    E. G. Beltrametti & S. Bugajski (2002). Quantum Mechanics and Operational Probability Theory. Foundations of Science 7 (1-2):197-212.
    We discuss a generalization of the standard notion of probability space and show that the emerging framework, to be called operational probability theory, can be considered as underlying quantal theories. The proposed framework makes special reference to the convex structure of states and to a family of observables which is wider than the familiar set of random variables: it appears as an alternative to the known algebraic approach to quantum probability.
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  47.  2
    Trent Toulouse, Ping Ao, Ilya Shmulevich & Stuart Kauffman (2005). Noise in a Small Genetic Circuit That Undergoes Bifurcation. Complexity 11 (1):45-51.
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  48.  11
    Dimitar P. Guelev (1999). A Propositional Dynamic Logic with Qualitative Probabilities. Journal of Philosophical Logic 28 (6):575-604.
    This paper presents an w-completeness theorem for a new propositional probabilistic logic, namely, the dynamic propositional logic of qualitative probabilities (DQP), which has been introduced by the author as a dynamic extension of the logic of qualitative probabilities (Q P) introduced by Segerberg.
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  49. Roberto Serra (ed.) (1986). Introduction to the Physics of Complex Systems: The Mesoscopic Approach to Fluctuations, Non Linearity, and Self-Organization. Pergamon.
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  50. F. Mallamace & H. Eugene Stanley (eds.) (1997). The Physics of Complex Systems: Proceedings of the International School of Physics <>: Course Cxxxiv: Varenna on Lake Como, Villa Monastero, 9-19 July 1996. [REVIEW] Ios Press.
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