From complexity in the natural sciences to complexity in operations management systems

From complexity in the natural sciences to complexity in operations management systems

Although complexity makes up the very fabric of our daily lives and has been more or less addressed in a wide variety of knowledge fields, the approaches developed in the Natural Sciences and the results obtained over the past century have not yet permeated Management Sciences very much. The main f...

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Detalles Bibliográficos
Otros Autores: Briffaut, Jean-Pierre, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: London, England ; Hoboken, New Jersey : ISTE 2019.
Edición:First edition
Colección:THEi Wiley ebooks.
Materias:
Management science.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630503906719
Tabla de Contenidos:
  • Cover
  • Half-Title Page
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Dedication
  • 1. Complexity and Systems Thinking
  • 1.1. Introduction: complexity as a problem
  • 1.2. Complexity in perspective
  • 1.2.1. Etymology and semantics
  • 1.2.2. Methods proposed for dealing with complexity from the Middle Ages to the 17th Century and their current outfalls
  • 1.3. System-based current methods proposed for dealing with complexity
  • 1.3.1. Evolution of system-based methods in the 20th Century
  • 1.3.2. The emergence of a new science of mind
  • 1.4. Systems thinking and structuralism
  • 1.4.1. Systems thinking
  • 1.4.2. Structuralism
  • 1.4.3. Systems modeling
  • 1.5. Biodata of two figureheads in the development of cybernetics
  • 1.5.1. Ludwig von Bertalanffy (1901-1972)
  • 1.5.2. Heinz von Förster (1911-2002)
  • 1.6. References
  • 2. Agent-based Modeling of Human Organizations
  • 2.1. Introduction
  • 2.2. Concept of agenthood in the technical world
  • 2.2.1. Some words about agents explained
  • 2.2.2. Some implementations of the agenthood paradigm
  • 2.3. Concept of agenthood in the social world
  • 2.3.1. Cursory perspective of agenthood in the social world
  • 2.3.2. Organization as a collection of agents
  • 2.4. BDI agents as models of organization agents
  • 2.4.1. Description of BDI agents
  • 2.4.2. Comments on the structural components of BDI agents
  • 2.5. Patterns of agent coordination
  • 2.5.1. Organizational coordination
  • 2.5.2. Contracting for coordination
  • 2.5.3. Coordination by multi-agent planning
  • 2.6. Negotiation patterns
  • 2.7. Theories behind the organization theory
  • 2.7.1. Structural and functional theories
  • 2.7.2. Cognitive and behavioral theories
  • 2.7.3. Organization theory and German culture
  • 2.8. Organizations and complexity
  • 2.8.1. Structural complexity.
  • 2.8.2. Behavioral complexity in group decision-making
  • 2.8.3. Autonomous agents and complexity in organization operations: inexorable stretch to artificial organization
  • 2.9. References
  • 3. Complexity and Chaos
  • 3.1. Introduction
  • 3.2. Complexity and chaos in physics and chemistry
  • 3.2.1. Introductory considerations
  • 3.2.2. Quadratic iterator modeling the dynamic behavior of animal and plant populations
  • 3.2.3. Traces of chaotic behavior in different contexts
  • 3.3. Order out of chaos
  • 3.3.1. Determinism out of an apparent random algorithm
  • 3.3.2. Chaos game and MRCM (Multiple Reduction Copy Machine)
  • 3.3.3. Randomness and its foolery
  • 3.4. Chaos in organizations - the certainty of uncertainty
  • 3.4.1. Chaos and big data: what is data deluge?
  • 3.4.2. Change management and adaptation of information systems
  • 3.5. References
  • Conclusion
  • C.1. Some general considerations
  • C.2. Complexity versus chaos
  • C.2.1. Complex systems contain many constituents interdependent and interacting nonlinearly.
  • C.2.2. A complex system possesses a structure spanning several levels
  • C.2.3. A complex system is capable of emerging behavior
  • C.2.4. Complexity involves reciprocal action between chaos and order
  • C.2.5. Complexity involves interplay between cooperation and competition
  • C.3. References
  • Appendix 1: Notions of Graph Theory for Analyzing Social Networks
  • Appendix 2: Time Series Analysis with a View to Deterministic Chaos
  • References
  • Index
  • Other titles from iSTE in Systems and Industrial Engineering - Robotics
  • EULA.

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