Cooperation is pervasive throughout nature, but its origin remains an open question.
For decades, social scientists, business leaders, and economists have struggled with an important question: why is cooperation so ubiquitous among unrelated humans? The answers would have profound effects because anything that promotes cooperation leads to more productive work environments and benefits society at large. Game theory provides an ideal framework for studying social dilemmas, or those situations in which people decide whether to cooperate with others (benefitting the group) or defect by prioritizing their self-interest (benefitting only the individual). The social dilemma is formulated as a mathematical game and then programmed into a computer model. Simulating the game allows researchers to investigate potential theories to explain how cooperation emerges and what promotes its persistence.
Over the past 25 years, countless papers on social dilemma games have been published, yet arguably little progress has been made. The problem is the social dilemma game models are unrealistic in the sense they contain artificial constructs that deviate from the way humans act. This book describes the shortcomings in current social dilemma game modeling techniques and provides guidance on designing more effective models. A basic introduction to game theory is provided with an emphasis on the prisoner's dilemma, the most widely studied social dilemma game. Individual chapters are provided detailing the shortcomings of weak selection, spatial games, and the Moran process. Computer model validation is also discussed at length. The recommendations found in this book should help design more realistic social dilemma game models likely to produce a better understanding of human cooperation.
Автор: Yufeng Qian Название: Teaching, Learning, and Leading With Computer Simulations ISBN: 1799800040 ISBN-13(EAN): 9781799800040 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 174630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Computer simulation, a powerful technological tool and research-proven pedagogical technique, holds great potential to enhance and transform teaching and learning in education and is therefore a viable tool to engage students in deep learning and higher-order thinking. With the advancement of simulation technology (e.g., virtual reality, artificial intelligence, machine learning) and the expanded disciplines where computer simulation is being used (e.g., data science, cyber security), computer simulation is playing an increasingly significant role in leading the digital transformation in K-12 schools and higher education institutions, as well as training and professional development in corporations, government, and the military.
Teaching, Learning, and Leading With Computer Simulations is an important compilation of research that examines the recent advancement of simulation technology and explores innovative ways to utilize advanced simulation programs for the enhancement of teaching and learning outcomes. Highlighting a range of topics such as pedagogy, immersive learning, and social sciences, this book is essential for educators, higher education institutions, deans, curriculum designers, school administrators, principals, IT specialists, academicians, researchers, policymakers, and students.
Автор: Dingyu Xue Название: Linear Algebra and Matrix Computations With MATLAB ISBN: 3110663635 ISBN-13(EAN): 9783110663631 Издательство: Walter de Gruyter Цена: 74320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book focuses the solutions of linear algebra and matrix analysis problems, with the exclusive use of MATLAB. The topics include representations, fundamental analysis, transformations of matrices, matrix equation solutions as well as matrix functions. Attempts on matrix and linear algebra applications are also explored.
Автор: Setola Roberto, Rosato Vittorio, Kyriakides Elias Название: Managing the Complexity of Critical Infrastructures: A Modelling and Simulation Approach ISBN: 3319845527 ISBN-13(EAN): 9783319845524 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is open access under a CC BY 4.0 license. This book summarizes work being pursued in the context of the CIPRNet (Critical Infrastructure Preparedness and Resilience Research Network) research project, co-funded by the European Union under the Seventh Framework Programme (FP7).
Автор: Surajit Chattopadhyay; Tamal Roy; Samarjit Sengupt Название: Modelling and Simulation in Science, Technology and Engineering Mathematics ISBN: 3319748076 ISBN-13(EAN): 9783319748078 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Поставка под заказ. Описание: This volume contains the peer-reviewed proceedings of the International Conference on Modelling and Simulation (MS-17), held in Kolkata, India, 4th-5th November 2017, organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE, France) in association with the Institution of Engineering Technology (IET, UK), Kolkata Network. The contributions contained here showcase some recent advances in modelling and simulation across various aspects of science and technology. This book brings together articles describing applications of modelling and simulation techniques in fields as diverse as physics, mathematics, electrical engineering, industrial electronics, control, automation, power systems, energy and robotics. It includes a special section on mechanical, fuzzy, optical and opto-electronic control of oscillations. It provides a snapshot of the state of the art in modelling and simulation methods and their applications, and will be of interest to researchers and engineering professionals from industry, academia and research organizations.
Автор: Y.C. Tay Название: Analytical Performance Modeling for Computer Systems ISBN: 1681733897 ISBN-13(EAN): 9781681733890 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 72070.00 T Наличие на складе: Невозможна поставка. Описание: Engineering mechanics is one of the fundamental branches of science that is important in the education of professional engineers of any major. Most of the basic engineering courses, such as mechanics of materials, fluid and gas mechanics, machine design, mechatronics, acoustics, vibrations, etc. are based on engineering mechanics courses. In order to absorb the materials of engineering mechanics, it is not enough to consume just theoretical laws and theorems—a student also must develop an ability to solve practical problems. Therefore, it is necessary to solve many problems independently. This book is a part of a four-book series designed to supplement the engineering mechanics courses. This series instructs and applies the principles required to solve practical engineering problems in the following branches of mechanics: statics, kinematics, dynamics, and advanced kinetics. Each book contains between 6 and 8 topics on its specific branch and each topic features 30 problems to be assigned as homework, tests, and/or midterm/final exams with the consent of the instructor. A solution of one similar sample problem from each topic is provided.This first book contains seven topics of statics, the branch of mechanics concerned with the analysis of forces acting on construction systems without an acceleration (a state of the static equilibrium). The book targets the undergraduate students of the sophomore/junior level majoring in science and engineering.
As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.
Here are just a dozen of the many questions answered within these pages:
What does quantitative analysis of a system really mean?
What is a system?
What are big data and analystics?
How do you know your numbers are good?
What will the future data science environment look like?
How do you determine data provenance?
How do you gather and process information, and then organize, store, and synthesize it?
How does an organization implement data analytics?
Do you really need to think like a Chief Information Officer?
What is the best way to protect data?
What makes a good dashboard?
What is the relationship between eating ice cream and getting attacked by a shark?
The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).
Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
Автор: Joan Carles Ferrer-Comalat; Salvador Linares-Musta Название: Modelling and Simulation in Management Sciences ISBN: 3030154122 ISBN-13(EAN): 9783030154127 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book includes a collection of selected papers presented at the International Conference on Modelling and Simulation in Engineering, Economics, and Management, held at the Faculty of Economics and Business at the University of Girona, Spain, 28-29 June 2018.The conference was organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE) and the University of Girona with the aim of promoting research in the field of modelling, simulation and management science.
This book presents original research studies related to fuzzy logic, soft computing and uncertainty, as well as a number of papers in the field of bibliometrics in social sciences. Presenting new advances in these areas, with a special focus on management, economics and social sciences.
It is of great interest to researchers and Ph.D. students working in the field of fuzzy logic, soft computing, uncertainty and bibliometrics.
Название: Practical Guide to Computer Simulations ISBN: 9814571776 ISBN-13(EAN): 9789814571777 Издательство: World Scientific Publishing Рейтинг: Цена: 53850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Book Presents All The Computational Techniques And Tools Needed To Start Doing Scientific Research Using Computer Simulations. A Reader Will Have All The Necessary Basic Background After Working Through This Book, Including Program Design, Programming In C, Fundamental Algorithms And Data Structures, Random Numbers, Debugging, Up To Data Analysis, Presentation And Publishing. In Each Of These Fields No Preliminary Knowledge Is Assumed. The Reader Will Be Equipped With A Solid Background Such That He Can Perform Successfully Complete Projects From The First Idea Till The Final Publication. For Non-Standard Applications And Further Reading, Many References To Specialized Literature Are Included. All Techniques Are Explained Using Many Examples In C. These C Codes, Also The Solutions To Exercises, Can Be Downloaded From A Web Page.The Techniques In This Book Are Independent Of The Field Of Research, Hence They Are Suitable For Conducting Research Projects In Physics, Chemistry, Computer Science, Biology Or Engineering.There Are No Similar Comprehensive Books So Far. Currently, One Needs Many Different Books To Learn All Necessary Background. Having This Book, One Needs Basically Only A Second Book On Field-Specific Algorithms In Order To Be Fully Equipped To Perform Computer Simulations Research.
Автор: Matt A. Wood Название: Python and Matplotlib Essentials for Scientists and Engineers ISBN: 1681749106 ISBN-13(EAN): 9781681749105 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 41580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use Python™ to analyse data, simulate physical processes, and render publication-quality plots. No previous programming experience is needed before reading the first page.Readers will learn the core features of the Python programming language in under a day. They will be able to immediately use Python to implement codes that solve their own problems and make beautiful plots and animations. Python code is extremely fast to prototype, allowing users to achieve results quickly and accurately. The examples within the book are available for download.Python and Matplotlib Essentials for Scientists and Engineers is accessible for motivated high-school students, but will likely be most useful for undergraduate and graduate students as well as working professionals who have some background with the basic mathematical concepts. This book is intended for technical people who want to get things done.
Название: Fuzzy hybrid computing in construction engineering and management ISBN: 1787438694 ISBN-13(EAN): 9781787438699 Издательство: Emerald Рейтинг: Цена: 135510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a guide for students, researchers, and practitioners to the latest developments in fuzzy hybrid computing in construction engineering and management. It discusses basic theory related to fuzzy logic and fuzzy hybrid computing, their application in a range of practical construction problems, and emerging and future research trends.
Автор: S.K. Basu; Naveen Kumar Название: Modelling and Simulation of Diffusive Processes ISBN: 3319380257 ISBN-13(EAN): 9783319380254 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the key issues in the modeling and simulation of diffusive processes from a wide spectrum of different applications across a broad range of disciplines. describes the modeling of nitrogen fate and transport at the sediment-water interface and groundwater flow in unconfined aquifers;
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