DESIMMAL modeling, simulation, animal-farm system
ABOUT THIS BLOG
This blog is actually a growing list of textbooks / articles that I (have to) read regarding my project. I am doing my PhD research about risks in agribusiness, emphasizing on its model and simulation. That is why the jargon of system emerges. These textbooks are not intended to be shared online as “All Rights Reserved. […]
The complexity of cooperation; agent based models of competition and collaboration (Axelrod, 1997)
Complexity theory involves the study of many actors and their interactions. The actors may be atoms, fish, people, organizations, or nations. Their interactions may consist of attraction, combat, mating, communication, trade, partnership, or rivalry. Because the study of large numbers of actors with changing patterns of interactions often gets too difficult for a mathematical solution, a primary research tool of […]
Introduction to Discrete Event Simulation and Agent-based Modeling Voting Systems, Health Care, Military, and Manufacturing (Allen, 2011)
The main purpose of this text is to provide an up-to-date foundation for applying discrete event simulation and agent-based modeling. It is perhaps true that no other book covers as many topics of interest for providing real-world decision-support including: 1. Open source simulation programming including Visual Basic (VB) and NetLogo which provide inexpensive options for businesses, 2. Agent-based […]
Growing artificial societies: social science from the bottom up (Epstein & Axtell, 1996)
They apply agent based computer modeling techniques to the study of human social phenomena, including trade, migration, group formation, combat,interaction with an environment, transmission of culture, propagation of disease, and population dynamics. Their broad aim is to begin the development of a computational approach that permits the study of these diverse spheres of human activity […]
Simulation for social scientist (Gilbert & Troitzch, 2005)
This book is a practical guide to the exploration and understanding of social and economic issues through simulation. It explains why one might use simulation in the social sciences and outlines a number of approaches to social simulation at a level of detail that should enable readers to understand the literature and to develop their own simulations. Interest in social […]
Managing business complexity (North & Macal, 2007)
This my holy book. Also, I have not finished it yet. ASAP. The answer is because people need to know about one of the most exciting and practical developments in business simulation and modeling that has occurred since the invention of relational databases. The world is changing in terms of the requirements for solving business problems and the capabilities of […]
Powersim (2003)
Today, business simulations are used in making business decisions. Faced with a decision on where to build natural gas storage containers, and how big to build these containers, one oil company used Powersim to build a simulation of the wells, the pipelines, and the markets. Once the simulation was built, decision-makers at the oil company […]
Risk and performance inter-relationship in milk agribusiness: a system dynamics approach (Daud, 2013)
Agribusiness is entangled with any stakeholder and so are supply chain risks. In an earlier date, risks and uncertainties is usually dealt with a single specific firm. It is today realized that since the agribusiness is a complex bonding of several stakeholders, distortion at one of the components distorts the entire chain in varying degrees. Therefore, risks management in an agribusiness […]
Supply Chain Simulation; A System Dynamics Approach for Improving Performance (Campuzano & Mula, 2011)
Supply chain simulation implies operating a model that suitably represents a supply chain. Supply chain management can be carried out in the model should it be impossible, too expensive or impractical to do so in the real organization. Model performance may be studied and the properties relating to real supply chain performance may be deduced. There […]
Principles of Modeling and Simulation: A Multidisciplinary Approach (Sokolowski & Banks, 2009)
The text is divided into three parts with nine chapters. Part One, Principles of Modeling and Simulation: A Multidisciplinary Approach introduces modeling and simulation and its role. Chapter 1 answers the question, “What Is Modeling and Simulation?” The chapter provides a brief history of modeling and simulation, lists the many uses or applications of modeling […]
Management science: Decision making through systems thinking (Daellenbach & McNickle, 2005)
Except for the most trivial daily actions, most decision making happens within the context of systems — all sorts of organizations, from family units to major corporations, from local government to international institutions, and all sorts of activities and operations. You may wonder: “Since science has been one of the major driving forces of modern […]