An introduction to the use of computer simulation in studying organizational behavior.

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.

Computational Organizational Cognition presents simulations to clearly assess the advantages of agent-based computational organizational cognition (AOC) for both theory and practice, demonstrating how AOC is an essential instrument to explore, understand and analyze the inner complexities of organizational cognition.

Management and organization theories have, in the years, developed rich methodological paraphernalia to test hypotheses. This book addresses possible applications of computer simulation to theory building in management and organizational theory.

2) How has organization theory developed over time, and what structure has the field taken? What assumptions does knowledge produced in organization theory incorporate, and what forms do its knowledge claims take as they are put forward for public adoption? 3) How have certain well-known controversies in organization theory, such as for example, the structure/agency dilemma, the study of organizational culture, the different modes of explanation, the micro/macro controversy, and the differnet explanations produced by organizational economists and sociologists, been dealt with? 4) How, and in what ways, is knowledge generated in organization theory related to action? What features must organization theory knowledge have in order to be actionable, and of relevance to the world 'out there'? How have ethical concerns been taken into account in organization theory? 5) What is the future of organization theory? What direction should the field take? What must change in the way research is conducted and key theoretical terms are conceptualized so that organization theory enhances its capacity to generate valid and relevant knowledge?

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 book provides a good introduction to the classical elementary number theory and the modern algorithmic number theory, and their applications in computing and information technology, including computer systems design, cryptography and network security. In this second edition proofs of many theorems have been provided, further additions and corrections were made.

A scholarly book in Management, this book will appeal to those interested in the subject of cognition and its impact on organizational studies. Contributors include such famous names as James March and William Starbuck.

Drawing on the research of more than 50 influential international scholars, this extensive interdisciplinary survey consolidates and evaluates what is known and not known about organizations, and critically examines how we learn about and study them. Contributors include 50 influential international scholars. Contributions represent the most important contemporary perspectives on organizations, including networks, ecology and technology. Each topic is covered at three levels of organization: intraorganizational, organizational, and interorganizational. Chapters structured around five common elements for ease of use.

Offering a wide range of programming examples implemented in MATLAB, Computational Intelligence Paradigms: Theory and Applications Using MATLAB presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms and pr