Download or read book Artificial Intelligence Game Theory and Mechanism Design in Politics written by Tshilidzi Marwala and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how AI and mechanism design can provide a new framework for international politics. The international political system is all manners in which countries, governments and people relate. Mechanism design in international politics relates to identifying rules that define relationships between people and countries that achieve a particular outcome, e.g., peace or more trade or democracy or economic development. Artificial intelligence is technique of making machines intelligent. This book explores mechanism design and artificial intelligence in international politics and applies these technologies to politics, economy and society. This book will be of interest to scholars of international relations, politics, sustainable development, and artificial intelligence. Tshilidzi Marwala is the Rector of the United Nations (UN) University and UN Under-Secretary-General. He was the Vice-Chancellor and Principal of the University of Johannesburg. Marwala was born at Duthuni Village in the Limpopo Province of South Africa. He obtained a PhD in artificial intelligence from the University of Cambridge in 2000 and a Bachelor of Science in mechanical engineering from Case Western Reserve University, graduating with a Magna Cum Laude in 1995.

Download or read book Artificial Intelligence Game Theory and Mechanism Design in Politics written by Tshilidzi Marwala and published by Springer Nature. This book was released on 2023-08-04 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how AI and mechanism design can provide a new framework for international politics. The international political system is all manners in which countries, governments and people relate. Mechanism design in international politics relates to identifying rules that define relationships between people and countries that achieve a particular outcome, e.g., peace or more trade or democracy or economic development. Artificial intelligence is technique of making machines intelligent. This book explores mechanism design and artificial intelligence in international politics and applies these technologies to politics, economy and society. This book will be of interest to scholars of international relations, politics, sustainable development, and artificial intelligence.

Download or read book Mechanism Design Behavioral Science and Artificial Intelligence in International Relations written by Tshilidzi Marwala and published by Elsevier. This book was released on 2024-07-23 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in AI and Mechanism Design provide a vital tool for solving collective action problems, common in international relations. By using AI to optimize mechanisms for cooperation and coordination, we can better address issues such as climate change, trade, and security. Mechanism Design, Behavioral Science and Artificial Intelligence in International Relations shows readers how the intersection of Mechanism Design and Artificial Intelligence is revolutionizing the way we approach international relations. By using AI to optimize mechanisms, we can design better institutions, policies, and agreements that are more effective and efficient. Dr. Tshilidzi Marwala, United Nations University Rector and UN Under-Secretary General, presents the essential technologies used in Game Theory, Mechanism Design and AI and applies these to significant global issues such as interstate conflict, cybersecurity, and energy. International relations are a complex field, with many different actors and interests in play. By incorporating AI into our analysis and decision-making processes, we can better understand and predict the behavior of multiple actors and design mechanisms that take these behaviors into account, thereby producing more desirable and creative interdisciplinary approaches. The book presents real-world applications of these rapidly evolving technologies in crucial research fields such as Interstate Conflict, International Trade, Climate Change, Water management, Energy, cybersecurity, and global finance. - Provides insights for computer scientists, researchers, practitioners, and policymakers on how to develop practical tools to solve many complex problems in international relations, such as climate change, cybersecurity, and interstate conflict - Presents the necessary computer science, mathematical methods, and techniques in AI, game theory, mechanism design, and algorithm development - Includes real-world applications of AI and mechanism design in a wide variety of research topics, such as international conflict, international trade, climate change, water management, energy management, cybersecurity, and global finance

Download or read book Artificial Intelligence and the Law written by Tshilidzi Marwala and published by Springer Nature. This book was released on with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Game Theory And Mechanism Design written by Y Narahari and published by World Scientific. This book was released on 2014-03-13 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a self-sufficient treatment of a key tool, game theory and mechanism design, to model, analyze, and solve centralized as well as decentralized design problems involving multiple autonomous agents that interact strategically in a rational and intelligent way. The contents of the book provide a sound foundation of game theory and mechanism design theory which clearly represent the “science” behind traditional as well as emerging economic applications for the society.The importance of the discipline of game theory has been recognized through numerous Nobel prizes in economic sciences being awarded to game theorists, including the 2005, 2007, and 2012 prizes. The book distills the marvelous contributions of these and other celebrated game theorists and presents it in a way that can be easily understood even by senior undergraduate students.A unique feature of the book is its detailed coverage of mechanism design which is the art of designing a game among strategic agents so that a social goal is realized in an equilibrium of the induced game. Another feature is a large number of illustrative examples that are representative of both classical and modern applications of game theory and mechanism design. The book also includes informative biographical sketches of game theory legends, and is specially customized to a general engineering audience.After a thorough reading of this book, readers would be able to apply game theory and mechanism design in a principled and mature way to solve relevant problems in computer science (esp, artificial intelligence/machine learning), computer engineering, operations research, industrial engineering and microeconomics.

Download or read book Technology and Business Model Innovation Challenges and Opportunities written by Bahaaeddin Alareeni and published by Springer Nature. This book was released on with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Convergence of Industry 4 0 and Supply Chain Sustainability written by Khan, Muhammad Rahies and published by IGI Global. This book was released on 2024-03-22 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-increasing landscape of industry and technology, companies worldwide face an unprecedented challenge. The relentless march of progress, epitomized by the revolution of Industry 4.0, demands adaptation for survival and competitiveness. The integration of technologies such as the Internet of Things (IoT), blockchain, artificial intelligence, additive manufacturing, and robotics has irrevocably altered manufacturing and supply chain operations. What was initially a quest for augmented quality and production has now become an inexorable pursuit of sustainability. The United Nations Sustainable Development Goals (UNSDG) 2030 have left no room for exemptions, making sustainability an imperative at the heart of every business strategy. The answer to this pressing challenge lies within the pages of the book, Convergence of Industry 4.0 and Supply Chain Sustainability. It serves a meticulously curated collection of research that illuminates the intricacies of implementing Industry 4.0 and the ramifications for sustainable supply chains. Our work focuses on the associated challenges and opportunities encountered by the adoption of Industry 4.0 in supply chain management (SCM).

Download or read book The Global Politics of Artificial Intelligence written by Maurizio Tinnirello and published by CRC Press. This book was released on 2022-04-24 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies such as artificial intelligence have led to significant advances in science and medicine, but have also facilitated new forms of repression, policing and surveillance. AI policy has become without doubt a significant issue of global politics. The Global Politics of Artificial Intelligence tackles some of the issues linked to AI development and use, contributing to a better understanding of the global politics of AI. This is an area where enormous work still needs to be done, and the contributors to this volume provide significant input into this field of study, to policy makers, academics, and society at large. Each of the chapters in this volume works as freestanding contribution, and provides an accessible account of a particular issue linked to AI from a political perspective. Contributors to the volume come from many different areas of expertise, and of the world, and range from emergent to established authors.

Download or read book Essentials of Game Theory written by Kevin Gebser and published by Springer Nature. This book was released on 2022-05-31 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science, among others. What has been missing is a relatively short introduction to the field covering the common basis that anyone with a professional interest in game theory is likely to require. Such a text would minimize notation, ruthlessly focus on essentials, and yet not sacrifice rigor. This Synthesis Lecture aims to fill this gap by providing a concise and accessible introduction to the field. It covers the main classes of games, their representations, and the main concepts used to analyze them.

Download or read book Game Theoretic Problems in Network Economics and Mechanism Design Solutions written by Y. Narahari and published by Springer Science & Business Media. This book was released on 2009-04-03 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph focuses on exploring game theoretic modeling and mechanism design for problem solving in Internet and network economics. For the first time, the main theoretical issues and applications of mechanism design are bound together in a single text.

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Download or read book Twenty Lectures on Algorithmic Game Theory written by Tim Roughgarden and published by Cambridge University Press. This book was released on 2016-08-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management.

Download or read book Adversarial Machine Learning written by Aneesh Sreevallabh Chivukula and published by Springer Nature. This book was released on 2023-03-06 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantification of the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.

Download or read book Algorithms An Introduction to The Computer Science Artificial Intelligence Used to Solve Human Decisions Advance Technology Optimize Habits Learn Faster Your Improve Life written by Trustgenics and published by Thomas William. This book was released on with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover How Algorithms Shape & Impact Our World Now you might look at this title and shy away, thinking that a book with "Algorithms" in its title must be just for techies and computer scientists. However this book is very accessible to those with no background in computer science. Decisions Oftentimes Have Optimal Solutions Today, many decisions that could be made by human beings from predicting earthquakes to interpreting languages can now be made by computer algorithms with advanced analytic capabilities. Everyday we make millions of decisions from selecting a life partner, to organizing your closet, to scheduling your life, to having a conversation. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Studies continue to show that the algorithms can do a better job than experts in a range of fields. Artificial intelligence is reshaping healthcare, science, engineering and life. The results will make our lives more productive, better organized, and essentially, much happier. Everywhere you look, artificial intelligence is beginning to permeate all types of industries and expectations are that it will continue to grow in the future. Imagine The Possibilities More Accurate Medical Diagnoses Better Military Strategies That Could Save Lives Detect Abnormal Genes In An Unborn Child Predict Changes In Weather and Earthquake Safer Self-Driving Cars That Have Learned Your Personal Preferences Analyze DNA Samples & Identify Potential Medical Risks Smart Homes That Will Anticipate Your Every Needs Predicting Where Cyber Hackers & Online Threats May Occur This is a must read for anyone interested in what our digital future looks like. Join The Future

Download or read book The Political Economy of Democracy written by Enriqueta Aragonès and published by Fundacion BBVA. This book was released on 2009 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hay razones para pensar que llega una cuarta ola de democratización. En la actualidad existen más democracias en el mundo que en ningún periodo anterior. Desde el año 1991, nada menos que cuarenta Estados han emprendido la transición hacia la democracia. La existencia de naciones en vías de democratización o de redemocratización, como los esfuerzos para crear constituciones supraestatales -es el caso de la Unión Europea-, hacen imprescindible avanzar hacia un mejor conocimiento de los procedimientos legislativos y los modelos alternativos de constitución política. La división histórica de las ciencias políticas en distintos campos de estudio ha sesgado el enfoque adoptado por economistas y politólogos sobre numerosos temas y ha supuesto limitaciones artificiales para el análisis de muchas cuestiones sociales relevantes. De ahí la importancia innegable de un estudio unificado de la economía política que explore las fronteras de la interacción entre política y economía. La caracterización de la economía política como síntesis de diversos campos suscitará controversia, a la vez que abre una línea de investigación muy estimulante para elucidar nuestra comprensión sobre las democracias.Este libro recoge los resultados del seminario "La economía política de la democracia", celebrado en Barcelona entre los días 5 y 7 de junio de 2008 con el apoyo de la Fundación BBVA. En él se dieron cita líderes intelectuales en economía y ciencias políticas con el fin de desarrollar planteamientos equilibrados sobre temas comunes de análisis, tales como las estrategias preelectorales, las elecciones, la formación de coaliciones y las prácticas de gobierno, dentro de un único marco integrador. Se prestó una especial atención a campos actuales de desarrollo, entres ellos, la entrada endógena de candidatos, los comportamientos de políticos y votantes, negociaciones y acuerdos, y regímenes políticos.

Download or read book Rational Machines and Artificial Intelligence written by Tshilidzi Marwala and published by Academic Press. This book was released on 2021-03-31 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent machines are populating our social, economic and political spaces. These intelligent machines are powered by Artificial Intelligence technologies such as deep learning. They are used in decision making. One element of decision making is the issue of rationality. Regulations such as the General Data Protection Regulation (GDPR) require that decisions that are made by these intelligent machines are explainable. Rational Machines and Artificial Intelligence proposes that explainable decisions are good but the explanation must be rational to prevent these decisions from being challenged. Noted author Tshilidzi Marwala studies the concept of machine rationality and compares this to the rationality bounds prescribed by Nobel Laureate Herbert Simon and rationality bounds derived from the work of Nobel Laureates Richard Thaler and Daniel Kahneman. Rational Machines and Artificial Intelligence describes why machine rationality is flexibly bounded due to advances in technology. This effectively means that optimally designed machines are more rational than human beings. Readers will also learn whether machine rationality can be quantified and identify how this can be achieved. Furthermore, the author discusses whether machine rationality is subjective. Finally, the author examines whether a population of intelligent machines collectively make more rational decisions than individual machines. Examples in biomedical engineering, social sciences and the financial sectors are used to illustrate these concepts. - Provides an introduction to the key questions and challenges surrounding Rational Machines, including, When do we rely on decisions made by intelligent machines? What do decisions made by intelligent machines mean? Are these decisions rational or fair? Can we quantify these decisions? and Is rationality subjective? - Introduces for the first time the concept of rational opportunity costs and the concept of flexibly bounded rationality as a rationality of intelligent machines and the implications of these issues on the reliability of machine decisions - Includes coverage of Rational Counterfactuals, group versus individual rationality, and rational markets - Discusses the application of Moore's Law and advancements in Artificial Intelligence, as well as developments in the area of data acquisition and analysis technologies and how they affect the boundaries of intelligent machine rationality

Download or read book A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence written by Nikos Kolobov and published by Springer Nature. This book was released on 2022-06-01 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.