Learning From Behavioral Modeling And Simulation Of Business Policy What The Experienced Modeler Learns Classic Reprint PDF Download

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Learning From Behavioral Modeling, and Simulation of Business Policy, (What the Experienced Modeler Learns) (Classic Reprint)

Learning From Behavioral Modeling, and Simulation of Business Policy, (What the Experienced Modeler Learns) (Classic Reprint)
Author: John D. W. Morecroft
Publisher: Forgotten Books
Total Pages: 70
Release: 2017-12-24
Genre: Business & Economics
ISBN: 9780484605809

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Excerpt from Learning From Behavioral Modeling, and Simulation of Business Policy, (What the Experienced Modeler Learns) What does experienced modeler learn from a purely descriptive survey of business policies and speculation about their structure and interaction? What more does he learn from writing equations and drawing structural diagrams? What does he learn from simulation that he cannot guess from speculation? The paper explores these questions using the results of a modeling project for a growing firm in the telecommunications industry. The project was divided into two distinct phases a descriptive survey of business structure followed by simulation modeling and analysis. A written report, issued immediately after the survey, served as a benchmark for measuring new insights from the simulation modeling phase. The paper shows the independent value of a descriptive survey, which comes from organizing, visualizing and interpreting one's knowledge of the firm's policies and their feedback structure. The paper also shows the added value of simula tion modeling and analysis, which comes from better structuring of poli cies, visualizing dynamic behavior and explaining behavior in precise stories. But at present one pays a high price for these insights from simulation. A modeler spends a lot of time interpreting simulations, and much of that in the painstaking process of discovering formulation errors. Very often the discovery of errors doesn't improve his understanding of business policy instead it reveals his limitations as an equation writer. To learn more quickly from simulation requires better simulation languages to improve the interface betweeen the model and intuition. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.


Learning From Behavioral Modeling and Simulation of Business Policy (what the Experienced Modeler Learns)

Learning From Behavioral Modeling and Simulation of Business Policy (what the Experienced Modeler Learns)
Author: John D W Morecroft
Publisher: Legare Street Press
Total Pages: 0
Release: 2022-10-27
Genre:
ISBN: 9781019252567

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This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.


Learning from Behavioral Modeling and Simulation of Business Policy - Primary Source Edition

Learning from Behavioral Modeling and Simulation of Business Policy - Primary Source Edition
Author: John Douglas William Morecroft
Publisher: Nabu Press
Total Pages: 74
Release: 2013-10
Genre:
ISBN: 9781294039747

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This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.


Behavioral Modeling and Simulation

Behavioral Modeling and Simulation
Author: National Research Council
Publisher: National Academies Press
Total Pages: 423
Release: 2008-07-04
Genre: Social Science
ISBN: 030911862X

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Today's military missions have shifted away from fighting nation states using conventional weapons toward combating insurgents and terrorist networks in a battlespace in which the attitudes and behaviors of civilian noncombatants may be the primary effects of military actions. To support these new missions, the military services are increasingly interested in using models of the behavior of humans, as individuals and in groups of various kinds and sizes. Behavioral Modeling and Simulation reviews relevant individual, organizational, and societal (IOS) modeling research programs, evaluates the strengths and weaknesses of the programs and their methodologies, determines which have the greatest potential for military use, and provides guidance for the design of a research program to effectively foster the development of IOS models useful to the military. This book will be of interest to model developers, operational military users of the models and their managers, and government personnel making funding decisions regarding model development.


Agent-Based Simulation of Organizational Behavior

Agent-Based Simulation of Organizational Behavior
Author: Davide Secchi
Publisher: Springer
Total Pages: 347
Release: 2015-08-25
Genre: Business & Economics
ISBN: 331918153X

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The aim of this book is to demonstrate how Agent-Based Modelling (ABM) can be used to enhance the study of social agency, organizational behavior and organizational management. It derives from a workshop, sponsored by the Society for the Study of Artificial Intelligence and the Simulation of Behavior (AISB), held at Bournemouth University Business School in 2014 on “Modelling Organizational Behavior and Social Agency”. The contents of this book are divided into four themes: Perspectives, Modeling Organizational Behavior, Philosophical and Methodological Perspective, and Modeling Organized Crime and Macro-Organizational Phenomena. ABM is a particular and advanced type of computer simulation where the focus of modeling shifts to the agent rather than to the system. This allows for complex and more realistic representations of reality, facilitating an innovative socio-cognitive perspective on organizational studies. The editors and contributing authors claim that the use of ABM may dramatically expand our understanding of human behavior in organizations. This is made possible because of (a) the computational power made available by technological advancements, (b) the relative ease of the programming, (c) the ability to borrow simulation practices from other disciplines, and (d) the ability to demonstrate how the ABM approach clearly enables a socio-cognitive perspective on organizational complexity. Showcasing contributions from academics and researchers of various backgrounds and discipline, this volumes provides a global, interdisciplinary perspective.


Innovative Approaches in Agent-Based Modelling and Business Intelligence

Innovative Approaches in Agent-Based Modelling and Business Intelligence
Author: Setsuya Kurahashi
Publisher: Springer
Total Pages: 284
Release: 2018-12-08
Genre: Political Science
ISBN: 9811318492

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This book thoroughly prepares intermediate-level readers for research in social science, organization studies, economics, finance, marketing science, and business science as complex adaptive systems. It presents the advantages of social simulation studies and business intelligence to those who are not familiar with the computational research approach, and offers experienced modelers various instructive examples of using agent-based modeling and business intelligence approaches to inspire their own work. In addition, the book discusses cutting-edge techniques for complex adaptive systems using their applications. To date, business science studies have focused only on data science and analyses of business problems. However, using these studies to enhance the capabilities of conventional techniques in the fields has not been investigated adequately. This book addresses managing the issues of societies, firms, and organizations to profit from interaction with agent-based modeling, human- and computer- mixed systems, and business intelligence approaches, an area that is fundamental for complex but bounded rational business environments. With detailed research by leading authors in the field, Innovative Approaches in Agent-Based Modelling and Business Intelligence inspires readers to join with other disciplines and extend the scope of the book with their own unique contributions. It also includes the common challenges encountered in computational social science and business science to enable researchers, students, and professionals to resolve their own problems.


Rationality and Structure in Behavioral Models of Business Systems (Classic Reprint)

Rationality and Structure in Behavioral Models of Business Systems (Classic Reprint)
Author: John D. W. Morecroft
Publisher:
Total Pages: 62
Release: 2015-08-05
Genre: Business & Economics
ISBN: 9781332278039

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Excerpt from Rationality and Structure in Behavioral Models of Business Systems Rationality and Structure in Behavioral Models of Business Systems was written by John D. W. Morecroft. This is a 56 page book, containing 9674 words and 10 pictures. Search Inside is enabled for this title. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.


A Behavioral Analysis of Learning Curve Strategy (Classic Reprint)

A Behavioral Analysis of Learning Curve Strategy (Classic Reprint)
Author: John Sterman
Publisher: Forgotten Books
Total Pages: 40
Release: 2018-02-25
Genre: Business & Economics
ISBN: 9780484524995

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Excerpt from A Behavioral Analysis of Learning Curve Strategy In this paper we show that relaxing the assumptions of instantaneous market clearing and perfect foresight leads, in a variety of plausible circumstances, to competitive dynamics significantly different from those predicted by much of the existing literature. We begin with a review of the literature on strategy in the presence of learning curves. We then develop a model in which the assumptions of market clearing and rationality are replaced by a disequilibrium, behavioral framework in which firms face lags in adjusting capacity and use boundedly rational decision heuristics to set prices and forecast demand. We use the model to explore the impact of an aggressive leaming-curve strategy in a variety of environments. When the dynamics of the market are sufficiently slow, delays in information acquisition, decision making, and system response are sufficiently short, and the cognitive demands on the firms are sufficiently low, behavioral theory yields predictions observationally indistinguishable from those of equilibrium models. However in more dynamic environments, in which boundedly rational forecasting techniques become less accurate, the aggressive learning curve strategies prescribed in the game theory literature become inferior, as aggressive expansion leads to excess capacity. We close with implications for the study of strategic competition in general, arguing that the neoclassical assumptions of equilibrium and rationality may in many realistic circumstances prove to be a dangerous guide to action and a weak basis for empirical research. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.


Behavioral Modeling and Simulation

Behavioral Modeling and Simulation
Author:
Publisher:
Total Pages: 403
Release: 2008
Genre: Human behavior
ISBN:

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Today's military missions have shifted away from fighting nation states using conventional weapons toward combating insurgents and terrorist networks in a battlespace in which the attitudes and behaviors of civilian noncombatants may be the primary effects of military actions. To support these new missions, the military services are increasingly interested in using models of the behavior of humans, as individuals and in groups of various kinds and sizes."Behavioral Modeling and Simulation" reviews relevant individual, organizational, and societal (IOS) modeling research programs, evaluates the strengths and weaknesses of the programs and their methodologies, determines which have the greatest potential for military use, and provides guidance for the design of a research program to effectively foster the development of IOS models useful to the military. This book will be of interest to model developers, operational military users of the models and their managers, and government personnel making funding decisions regarding model development.