Traditionally, the open systems approach has been used to describe communication structures and processes. This book does not deal with social systems from this perspective. Rather it examines self-organizing systems models that seek to explain the emergence of patterns of behavior in systems that are initially in a state of disorganization. This volume examines the models currently under development - autopoiesis, catastrophe theory, fractal geometry, dissipative structures, complexity theory, cellular automata and artificial intelligence - and presents a number of applications to contemporary communication theory.
Mathematical Approaches To Self-Organizing Systems. An Introduction to Self-Organizing Systems, George A. Barnett. Webs of Science: A Citation Analytic Study of the Concepts of Self-Organization and Autopolesis in Management Studies Journals, William J. White, Network Dynamics in Self-Organizing Communication and Activity Systems, Steven R. Corman. Self-Organization in the Infinite-Choice Prisoner's Dilemma, Frank Tutzauer and Edward T. Palazzolo. Self-Organizing Artificial Neural Networks: Research Methods for the Information Age, Scott Danielson. The Newsgroup Death Model: Internet Groups as Self-Organizing, Dean Krikorian. Self-Organizing Processes And Human Communication. The Role of Language in Self-Organizing, James R. Taylor and Helene Giroux. Complexity and Organizing: A Semiotic Analysis, James Anderson and Renee Houston. Paradigms as Conceptual Fractals, Scott C. Hammond. Contributors. Author Index. Subject Index.