Kathleen M. Carley – författare

This book bridges an important gap between two major approaches to mass communication -- historical and social scientific. To do so, it employs a theory of communication that unifies social, cultural and technological concerns into a systematic and formal framework that is then used to examine the impact of print within the larger socio-cultural context and across multiple historical contexts. The authors integrate historical studies and more abstract formal representations, achieving a set of logically coherent and well-delimited hypotheses that invite further exploration, both historically and experimentally. A second gap that the book addresses is in the area of formal models of communication and diffusion. Such models typically assume a homogeneous population and a communication whose message is abstracted from the complexities of language processing. In contrast, the model presented in this book treats the population as heterogeneous and communications as potentially variable in their content as they move across speakers or readers. Written to address and overcome many of the disciplinary divisions that have prevented the study of print from being approached from the perspective of a unified theory, this book employs a focused interdisciplinary position that encompasses several domains. It shows the underlying compatibility between cognitive and social theory; between the study of language and cognition and the study of technology; between the postmodern interest in the instability of meaning and the social science interest in the diffusion of information; between the effects of technology and issues of cultural homogeneity and heterogeneity. Overall, this book reveals how small, relatively non-interactive, disciplinary-specific conversations about print are usefully conceived of as part of a larger interdisciplinary inquiry.

This book bridges an important gap between two major approaches to mass communication -- historical and social scientific. To do so, it employs a theory of communication that unifies social, cultural and technological concerns into a systematic and formal framework that is then used to examine the impact of print within the larger socio-cultural context and across multiple historical contexts. The authors integrate historical studies and more abstract formal representations, achieving a set of logically coherent and well-delimited hypotheses that invite further exploration, both historically and experimentally. A second gap that the book addresses is in the area of formal models of communication and diffusion. Such models typically assume a homogeneous population and a communication whose message is abstracted from the complexities of language processing. In contrast, the model presented in this book treats the population as heterogeneous and communications as potentially variable in their content as they move across speakers or readers. Written to address and overcome many of the disciplinary divisions that have prevented the study of print from being approached from the perspective of a unified theory, this book employs a focused interdisciplinary position that encompasses several domains. It shows the underlying compatibility between cognitive and social theory; between the study of language and cognition and the study of technology; between the postmodern interest in the instability of meaning and the social science interest in the diffusion of information; between the effects of technology and issues of cultural homogeneity and heterogeneity. Overall, this book reveals how small, relatively non-interactive, disciplinary-specific conversations about print are usefully conceived of as part of a larger interdisciplinary inquiry.

This volume represents an advance in our understanding of how to represent and reason about organizational phenomena. Although organizational theorists have long grappled with the complexities of adaptive agents, ecological systems, and non-linear relations among the basic elements of organizational design, they have not, until recently, had the tools to grapple with these complex relationships. Recent advances in logic, symbolic programming, network analysis, and computer technology have made possible a series of tools that can be used to understand the complexities of organizational behavior. New computational techniques make it possible to develop and test more realistic models of organizational behavior. This volume offers examples of this new breed of models, and provides insight into how these advances and techniques can be used to extend our theoretical understanding of organizations. Authored by leading researchers in the area of computational organization theory, the various chapters demonstrate the value of computational analysis for organizational theory and advance our understanding of the relationship between organizational design and performance. This book contains both theoretical and methodological contributions that enable organizational theorists to use computational and mathematical techniques to systematically address the complex relationships that underlie organizational life. It also presents new -- or sometimes, renewed -- approaches on how to conduct organizational research from multiple formal perspectives including: simulation, numerical analysis, symbolic logic, mathematical modeling, and graph theory.

This volume represents an advance in our understanding of how to represent and reason about organizational phenomena. Although organizational theorists have long grappled with the complexities of adaptive agents, ecological systems, and non-linear relations among the basic elements of organizational design, they have not, until recently, had the tools to grapple with these complex relationships. Recent advances in logic, symbolic programming, network analysis, and computer technology have made possible a series of tools that can be used to understand the complexities of organizational behavior. New computational techniques make it possible to develop and test more realistic models of organizational behavior. This volume offers examples of this new breed of models, and provides insight into how these advances and techniques can be used to extend our theoretical understanding of organizations. Authored by leading researchers in the area of computational organization theory, the various chapters demonstrate the value of computational analysis for organizational theory and advance our understanding of the relationship between organizational design and performance. This book contains both theoretical and methodological contributions that enable organizational theorists to use computational and mathematical techniques to systematically address the complex relationships that underlie organizational life. It also presents new -- or sometimes, renewed -- approaches on how to conduct organizational research from multiple formal perspectives including: simulation, numerical analysis, symbolic logic, mathematical modeling, and graph theory.

Commanding and controlling organizations in extreme situations is a challenging task in military, intelligence, and disaster management. Such command and control must be quick, effective, and considerate when dealing with the changing, complex, and risky conditions of the situation. To enable optimal command and control under extremes, robust structures and efficient operations are required of organizations. This work discusses how to design and conduct virtual experiments on resilient organizational structures and operational practices using modeling and simulation. The work illustrates key aspects of robustly networked organizations and modeled performance of human decision-makers through examples of naval-air defense, counterterrorism operations, and disaster responses.