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Agent-based Modeling and Simulation by S. Taylor Pdf
Operational Research (OR) deals with the use of advanced analytical methods to support better decision-making. It is multidisciplinary with strong links to management science, decision science, computer science and many application areas such as engineering, manufacturing, commerce and healthcare. In the study of emergent behaviour in complex adaptive systems, Agent-based Modelling & Simulation (ABMS) is being used in many different domains such as healthcare, energy, evacuation, commerce, manufacturing and defense. This collection of articles presents a convenient introduction to ABMS with papers ranging from contemporary views to representative case studies. The OR Essentials series presents a unique cross-section of high quality research work fundamental to understanding contemporary issues and research across a range of Operational Research (OR) topics. It brings together some of the best research papers from the esteemed Operational Research Society and its associated journals, also published by Palgrave Macmillan.
Author : Juan Martín García Publisher : Juan Martín García Page : 270 pages File Size : 46,7 Mb Release : 2021-02-08 Category : Business & Economics ISBN : 8210379456XXX
Agent-Based Modeling and Simulation I by Juan Martín García Pdf
An Agent Based Model (ABM) allows simulating the actions and interactions of many agents or entities in order to evaluate their impact on the system as a whole. These models are used in areas such as industry, business, biology, ecology, and the social sciences. CONTRIBUTIONS - IMMEDIATE RESULTS. From the first pages the reader is already able to create a model. - FREE SOFTWARE. The use of specific and free software for personal and educational use. - WITHOUT PRIOR TRAINING. Knowing how to program in Java, C ++, Pyton, Anylogic, etc. is not required. - GUIDE. A neat guide that explains each step in detail, for quick learning. - MODELS. The explanation of 40 didactic models, created to learn progressively. - FIGURES. The support of more than 1000 figures to advance clearly in each stage. - VIDEOS. The models described, together with various help videos, can be downloaded. - PRACTICAL. A practical approach allows the reader to see the possible applications to their environment. - EXPERIENCE. The teaching experience of the author and the reviewers has allowed the text to be refined to the maximum. AUTHOR AND REVIEWERS Juan Martín García is a Doctor of Industrial Engineering in Business Organization from the UPC (Spain) and a Diploma from the Sloan School of Management at MIT (USA). He has more than 30 years of experience as a consultant for companies and public organizations using simulation models based on System Dynamics. Professor at several Spanish and Latin American universities, he teaches online courses at Vensim https://vensim.com/vensim-online-courses/ (in English) and System Dynamics at ATC-Innova http://atc-innova. com/ (Spanish). He is the author of books and lectures on business, social and environmental applications of simulation models. - Dr. Francisco Campuzano Bolarín, Professor of Business Organization at the Polytechnic University of Cartagena (UPCT). - Lening Mora, M.S Environmental & Occupational Health (San Diego, California) and Postgraduate Diploma in Healthcare Modeling and Simulation at Naval Postgraduate School (Monterey, California USA). - Professor Gavin Melles, PhD, MSc Swinburne University (Victoria, Australia). INDEX Presentation software Installation Working screen A model in 1 minute Concepts Functions and tables Variables Model: Traffic light Model: Paris Rome Attributes Model: Rio Bravo 2 Model: Truck Fleet Collections and aggregates Model: Dragons and Castles Model: Parents and children Model: The Four Pirates References Model: White and Black Model: White and Black 2 Model: White and Black 3 Comments Tools Entities initial parameters Model: Horse Racing Temporal parameters Model: Satellite Launch External data entities Import initial data Import time series data Model: My three rabbits Exercises Model: Rabbit Population Model: Rabbit Population 2 Model: Rabbit Population 3 Model: Rabbit population 4 Model: Rabbit population 5 Model: Sweet candies Model: Cheese shop Model: Cheese Shop 2 Model: Formula 1 drivers Model: Patients and hospitals Model: Horse breeding Model: Horse breeding 2 Model: Horse breeding 3 Model: Horse breeding 4 Model: Horse breeding 5 Model: Horse breeding 6 Model: Horse breeding 7 Model: Fighter aircraft Model: Fighter Aircraft 2 Model: Fishing in three seas Model: Fishing in three seas 2 Model: Fishing in three seas 3 Model: Fishing in three seas 4 Model: Fishing in three seas 5 Model: Fishing in three seas 6 Model: Gold Market Model: Gold Market 2 Model: Gold Market 3 Model: Gold Market 4 Model: Eco Restaurant Model: Beer Game
Agent-based Modeling and Simulation in Archaeology by Gabriel Wurzer,Kerstin Kowarik,Hans Reschreiter Pdf
Archaeology has been historically reluctant to embrace the subject of agent-based simulation, since it was seen as being used to "re-enact" and "visualize" possible scenarios for a wider (generally non-scientific) audience, based on scarce and fuzzy data. Furthermore, modeling "in exact terms" and programming as a means for producing agent-based simulations were simply beyond the field of the social sciences. This situation has changed quite drastically with the advent of the internet age: Data, it seems, is now ubiquitous. Researchers have switched from simply collecting data to filtering, selecting and deriving insights in a cybernetic manner. Agent-based simulation is one of the tools used to glean information from highly complex excavation sites according to formalized models, capturing essential properties in a highly abstract and yet spatial manner. As such, the goal of this book is to present an overview of techniques used and work conducted in that field, drawing on the experience of practitioners.
Introduction to Discrete Event Simulation and Agent-based Modeling by Theodore T. Allen Pdf
Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include: • Definition – The reader will learn how to plan a project and communicate using a charter. • Input analysis – The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to fit distributions to that data. • Simulation – The reader will understand how simulation controllers work, the Monte Carlo (MC) theory behind them, modern verification and validation, and ways to speed up simulation using variation reduction techniques and other methods. • Output analysis – The reader will be able to establish simultaneous intervals on key responses and apply selection and ranking, design of experiments (DOE), and black box optimization to develop defensible improvement recommendations. • Decision support – Methods to inspire creative alternatives are presented, including lean production. Also, over one hundred solved problems are provided and two full case studies, including one on voting machines that received international attention. Introduction to Discrete Event Simulation and Agent-based Modeling demonstrates how simulation can facilitate improvements on the job and in local communities. It allows readers to competently apply technology considered key in many industries and branches of government. It is suitable for undergraduate and graduate students, as well as researchers and other professionals.
Modeling and Simulation of Complex Systems by Robert Siegfried Pdf
Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different approaches for describing structure and dynamics of agent-based models in detail. Based on this evaluation the author introduces the “General Reference Model for Agent-based Modeling and Simulation” (GRAMS). Furthermore he presents parallel and distributed simulation approaches for execution of agent-based models –from small scale to very large scale. The author shows how agent-based models may be executed by different simulation engines that utilize underlying hardware resources in an optimized fashion.
Agent-Based Modeling and Simulation with Swarm by Hitoshi Iba Pdf
Swarm-based multi-agent simulation leads to better modeling of tasks in biology, engineering, economics, art, and many other areas. It also facilitates an understanding of complicated phenomena that cannot be solved analytically. Agent-Based Modeling and Simulation with Swarm provides the methodology for a multi-agent-based modeling approach that integrates computational techniques such as artificial life, cellular automata, and bio-inspired optimization. Each chapter gives an overview of the problem, explores state-of-the-art technology in the field, and discusses multi-agent frameworks. The author describes step by step how to assemble algorithms for generating a simulation model, program, method for visualization, and further research tasks. While the book employs the commonly used Swarm system, readers can model and develop the simulations with their own simulator. To encourage hands-on exploration of emergent systems, Swarm-based software and source codes are available for download from the author’s website. A thorough overview of multi-agent simulation and supporting tools, this book shows how this type of simulation is used to acquire an understanding of complex systems and artificial life. It carefully explains how to construct a simulation program for various applications.
Agent-Based Modeling for Archaeology by Iza Romanowska,Colin D. Wren,Stefani A. Crabtree Pdf
To fully understand not only the past, but also the trajectories, of human societies, we need a more dynamic view of human social systems. Agent-based modeling (ABM), which can create fine-scale models of behavior over time and space, may reveal important, general patterns of human activity. Agent-Based Modeling for Archaeology is the first ABM textbook designed for researchers studying the human past. Appropriate for scholars from archaeology, the digital humanities, and other social sciences, this book offers novices and more experienced ABM researchers a modular approach to learning ABM and using it effectively. Readers will find the necessary background, discussion of modeling techniques and traps, references, and algorithms to use ABM in their own work. They will also find engaging examples of how other scholars have applied ABM, ranging from the study of the intercontinental migration pathways of early hominins, to the weather–crop–population cycles of the American Southwest, to the trade networks of Ancient Rome. This textbook provides the foundations needed to simulate the complexity of past human societies, offering researchers a richer understanding of the past—and likely future—of our species.
Agent-Based and Individual-Based Modeling by Steven F. Railsback,Volker Grimm Pdf
The essential textbook on agent-based modeling—now fully updated and expanded Agent-Based and Individual-Based Modeling has become the standard textbook on the subject for classroom use and self-instruction. Drawing on the latest version of NetLogo and fully updated with new examples, exercises, and an enhanced text for easier comprehension, this is the essential resource for anyone seeking to understand how the dynamics of biological, social, and other complex systems arise from the characteristics of the agents that make up these systems. Steven Railsback and Volker Grimm lead students stepwise through the processes of designing, programming, documenting, and doing scientific research with agent-based models, focusing on the adaptive behaviors that make these models necessary. They cover the fundamentals of modeling and model analysis, introduce key modeling concepts, and demonstrate how to implement them using NetLogo. They also address pattern-oriented modeling, an invaluable strategy for modeling real-world problems and developing theory. This accessible and authoritative book focuses on modeling as a tool for understanding real complex systems. It explains how to pose a specific question, use observations from actual systems to design models, write and test software, and more. A hands-on introduction that guides students from conceptual design to computer implementation to analysis Filled with new examples and exercises and compatible with the latest version of NetLogo Ideal for students and researchers across the natural and social sciences Written by two leading practitioners Supported by extensive instructional materials at www.railsback-grimm-abm-book.com
Although there are plenty of publications dealing with the theory of multi-agent systems and agent-based simulations, information about the practical development of such systems is scarce. The aim of this book is to fill this empty space and to provide knowledge about design and development of agent-based simulations in an easy and comprehensible way. The book begins with the fundamentals of multi-agent systems, agent principles and their interaction, and goes on to discuss the philosophy of agent-based programming. Agent-based models - like any other scientific method - have drawbacks and limitations, which are presented in the book as well. The main portion of the text is then devoted to a description of methodology and best practices for the design and development of agent-based simulation software. The methodology (called Agentology) guides the reader through the entire development process, from the formal definition of the problem, through conceptual modeling and the selection of the particular development platform, to the programming and debugging of the code itself and the final assessment of the model. The visual language as the means of representation of the conceptual model is included. The reader is also presented with a comparison of present multi-agent development environments and tools, which could be helpful for the selection of appropriate development instruments. Given that the theoretical foundation is presented in an accessible way and supported by many practical examples, figures, schemes and source codes, this publication is especially suitable as a textbook for introductory graduate-level courses on multi-agent systems and agent-based modeling. Besides appealing to students and the scientific community, the monograph can aid software architects and developers who are not familiar with agent principles, conveying valuable insights into this distinct computer paradigm.
S. M. Niaz Arifin,Gregory R. Madey,Frank H. Collins
Author : S. M. Niaz Arifin,Gregory R. Madey,Frank H. Collins Publisher : John Wiley & Sons Page : 321 pages File Size : 45,7 Mb Release : 2016-04-11 Category : Medical ISBN : 9781118964354
Spatial Agent-Based Simulation Modeling in Public Health by S. M. Niaz Arifin,Gregory R. Madey,Frank H. Collins Pdf
Presents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis Bridging the gap between agent-based modeling and simulation (ABMS) and geographic information systems (GIS), Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology provides a useful introduction to the development of agent-based models (ABMs) by following a conceptual and biological core model of Anopheles gambiae for malaria epidemiology. Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, the authors discuss how to most effectively integrate spatial ABMs with a GIS. The book concludes with a combination of knowledge from entomological, epidemiological, simulation-based, and geo-spatial domains in order to identify and analyze relationships between various transmission variables of the disease. Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology also features: Location-specific mosquito abundance maps that play an important role in malaria control activities by guiding future resource allocation for malaria control and identifying hotspots for further investigation Discussions on the best modeling practices in an effort to achieve improved efficacy, cost-effectiveness, ecological soundness, and sustainability of vector control for malaria An overview of the various ABMs, GIS, and spatial statistical methods used in entomological and epidemiological studies, as well as the model malaria study A companion website with computer source code and flowcharts of the spatial ABM and a landscape generator tool that can simulate landscapes with varying spatial heterogeneity of different types of resources including aquatic habitats and houses Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology is an excellent reference for professionals such as modeling and simulation experts, GIS experts, spatial analysts, mathematicians, statisticians, epidemiologists, health policy makers, as well as researchers and scientists who use, manage, or analyze infectious disease data and/or infectious disease-related projects. The book is also ideal for graduate-level courses in modeling and simulation, bioinformatics, biostatistics, public health and policy, and epidemiology.
Author : Juan Martín García Publisher : Juan Martín García Page : 210 pages File Size : 45,5 Mb Release : 2021-02-08 Category : Business & Economics ISBN : 8210379456XXX
Agent-Based Modeling and Simulation II by Juan Martín García Pdf
In the book "Models based on Agents I" you have learned to: 1.- Install the software and create a model. 2.- Define the equations, using functions and tables. 3.- Simulate the model by viewing the numerical and graphic results. 4.- Create attributes, collections and aggregates. 5.- Add references. 6.- Define temporary parameters for the simulation. 7.- Import initial data. 8.- Import time series of data. In this book II, you learn to: 1.- Consolidate the import of data. 2.- Create new entities with actions and triggers. 3.- Design lots and cohorts of entities. 4.- Do Sensitivity Analysis. 5.- Optimization of the results. 6.- Calibration of the variables. 7.- See the results on a X-Y diagram. 8.- Integrate the model with GIS files.
Agent-Based Modeling Meets Gaming Simulation by K. Arai,H. Deguchi,H. Matsui Pdf
This collection of excellent papers cultivates a new perspective on agent-based social system sciences, gaming simulation, and their hybridization. Most of the papers included here were presented in the special session titled Agent-Based Modeling Meets Gaming Simulation at ISAGA2003, the 34th annual conference of the International Simulation and Gaming Association (ISAGA) at Kazusa Akademia Park in Kisarazu, Chiba, Japan, August 25–29, 2003. This post-proceedings was supported by the twenty-?rst century COE (Centers of Excellence) program Creation of Agent-Based Social Systems Sciences (ABSSS), established at the Tokyo Institute of Technology in 2004. The present volume comprises papers submitted to the special session of ISAGA2003 and provides a good example of the diverse scope and standard of research achieved in simulation and gaming today. The theme of the special session at ISAGA2003 was Agent-Based Modeling Meets Gaming Simulation. Nowadays, agent-based simulation is becoming very popular for modeling and solving complex social phenomena. It is also used to arrive at practical solutions to social problems. At the same time, however, the validity of simulation does not exist in the magni?cence of the model. R. Axelrod stresses the simplicity of the agent-based simulation model through the “Keep it simple, stupid” (KISS) principle: As an ideal, simple modeling is essential.
An Introduction to Agent-Based Modeling by Uri Wilensky,William Rand Pdf
A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach—with hundreds of examples and exercises using NetLogo—enables readers to begin constructing models immediately, regardless of experience or discipline. The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.
This book is devoted to investigating and developing the synergy between software engineering for multi-agent systems and agent-based social simulation; it originates from the Second International Workshop on Multi-Agend-Based Simulation, MABS 2000, held in Boston, MA, USA in July 2000, in conjunction with ICAMS 2000. Besides the thoroughly revised full papers accepted for presentation at the workshop, two invited papers and an introductory survey by one of the volume editors have been added in order to round off the scope and achieve complete coverage of all relevant topics. The book competently surveys the state of the art in the area by offering topical sections on model design issues, applications, simulating social relations and processes, and formal approaches.
Agent-Based Models of Geographical Systems by Alison J. Heppenstall,Andrew T. Crooks,Linda M. See,Michael Batty Pdf
This unique book brings together a comprehensive set of papers on the background, theory, technical issues and applications of agent-based modelling (ABM) within geographical systems. This collection of papers is an invaluable reference point for the experienced agent-based modeller as well those new to the area. Specific geographical issues such as handling scale and space are dealt with as well as practical advice from leading experts about designing and creating ABMs, handling complexity, visualising and validating model outputs. With contributions from many of the world’s leading research institutions, the latest applied research (micro and macro applications) from around the globe exemplify what can be achieved in geographical context. This book is relevant to researchers, postgraduate and advanced undergraduate students, and professionals in the areas of quantitative geography, spatial analysis, spatial modelling, social simulation modelling and geographical information sciences.