rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: Concise Introduction to the Statistical Physics of Complex Systems
  name:
    name part: Bertin, Eric.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 77 p. 4 illus. online resource.
  abstract: This concise primer (based on lectures given at summer schools on complex systems and on a masters degree course in complex systems modeling) will provide graduate students and newcomers to the field with the basic knowledge of the concepts and methods of statistical physics and its potential for application to interdisciplinary topics. Indeed, in recent years, statistical physics has begun to attract the interest of a broad community of researchers in the field of complex system sciences, ranging from biology to the social sciences, economics and computer science. More generally, a growing number of graduate students and researchers feel the need to learn some basic concepts and questions originating in other disciplines without necessarily having to master all of the corresponding technicalities and jargon. Generally speaking, the goals of statistical physics may be summarized as follows: on the one hand to study systems composed of a large number of interacting ‘entities’, and on the other to predict the macroscopic (or collective) behavior of the system considered from the microscopic laws ruling the dynamics of the individual ‘entities’. These two goals are, to some extent, also shared by what is nowadays called ‘complex systems science’ and for these reasons, systems studied in the framework of statistical physics may be considered as among the simplest examples of complex systems—allowing in addition a rather well developed mathematical treatment.
  table of contents: Introduction -- Equilibrium Systems -- Nonequlibrium Systems -- References.
  note: by Eric Bertin.
  subject:
    topic: Physics
  subject:
    topic: Game theory
  subject:
    topic: Systems biology
  subject:
    topic: Biological systems
  subject:
    topic: Statistical physics
  subject:
    topic: Dynamical systems
  subject:
    topic: Complexity, Computational
  subject:
    topic: Economic theory
  subject:
    topic: Physics
  subject:
    topic: Statistical Physics, Dynamical Systems and Complexity
  subject:
    topic: Complexity
  subject:
    topic: Game Theory, Economics, Social and Behav. Sciences
  subject:
    topic: Economic Theory/Quantitative Economics/Mathematical Methods
  subject:
    topic: Biological Networks, Systems Biology
  classification: QC174.7-175.36
  classification: 621
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Complexity
  identifier: 9783642239236
  identifier: http://dx.doi.org/10.1007/978-3-642-23923-6
  record info:
    record creation date: 110926
    record change date: 20151204143637.0
    record identifier: 978-3-642-23923-6