Artificial Intelligence Game Theory And Mechanism Design In Politics

Author : Tshilidzi Marwala
Publisher : Unknown
Page : 0 pages
File Size : 44,7 Mb
Release : 2023
Category : Electronic
ISBN : 9819951054

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Artificial Intelligence, Game Theory and Mechanism Design in Politics by Tshilidzi Marwala Pdf

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.

Author : Tshilidzi Marwala
Publisher : Springer Nature
Page : 221 pages
File Size : 42,8 Mb
Release : 2023-08-04
Category : Political Science
ISBN : 9789819951031

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Artificial Intelligence, Game Theory and Mechanism Design in Politics by Tshilidzi Marwala Pdf

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.

Author : Y Narahari
Publisher : World Scientific
Page : 532 pages
File Size : 47,5 Mb
Release : 2014-03-13
Category : Computers
ISBN : 9789814525060

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Game Theory And Mechanism Design by Y Narahari Pdf

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.

Author : Tshilidzi Marwala
Publisher : Springer Nature
Page : 267 pages
File Size : 51,6 Mb
Release : 2024-06-11
Category : Electronic
ISBN : 9789819728275

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Artificial Intelligence and the Law by Tshilidzi Marwala Pdf

Author : Reshef Liu
Publisher : Springer Nature
Page : 149 pages
File Size : 48,9 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031015793

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Strategic Voting by Reshef Liu Pdf

Social choice theory deals with aggregating the preferences of multiple individuals regarding several available alternatives, a situation colloquially known as voting. There are many different voting rules in use and even more in the literature, owing to the various considerations such an aggregation method should take into account. The analysis of voting scenarios becomes particularly challenging in the presence of strategic voters, that is, voters that misreport their true preferences in an attempt to obtain a more favorable outcome. In a world that is tightly connected by the Internet, where multiple groups with complex incentives make frequent joint decisions, the interest in strategic voting exceeds the scope of political science and is a focus of research in economics, game theory, sociology, mathematics, and computer science. The book has two parts. The first part asks "are there voting rules that are truthful?" in the sense that all voters have an incentive to report their true preferences. The seminal Gibbard-Satterthwaite theorem excludes the existence of such voting rules under certain requirements. From this starting point, we survey both extensions of the theorem and various conditions under which truthful voting is made possible (such as restricted preference domains). We also explore the connections with other problems of mechanism design such as locating a facility that serves multiple users. In the second part, we ask "what would be the outcome when voters do vote strategically?" rather than trying to prevent such behavior. We overview various game-theoretic models and equilibrium concepts from the literature, demonstrate how they apply to voting games, and discuss their implications on social welfare. We conclude with a brief survey of empirical and experimental findings that could play a key role in future development of game theoretic voting models.

Author : Kevin Gebser,Yoav Kaminski
Publisher : Springer Nature
Page : 88 pages
File Size : 53,5 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031015458

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Essentials of Game Theory by Kevin Gebser,Yoav Kaminski Pdf

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.

Author : Boi Faltings,Goran Radanovic
Publisher : Morgan & Claypool Publishers
Page : 153 pages
File Size : 55,6 Mb
Release : 2017-09-19
Category : Computers
ISBN : 9781627056083

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Game Theory for Data Science by Boi Faltings,Goran Radanovic Pdf

Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to provide incentives so that agents that provide high-quality data are rewarded while those that do not are discouraged by low rewards. We cover different settings and the assumptions they admit, including sensing, human computation, peer grading, reviews, and predictions. We survey different incentive mechanisms, including proper scoring rules, prediction markets and peer prediction, Bayesian Truth Serum, Peer Truth Serum, Correlated Agreement, and the settings where each of them would be suitable. As an alternative, we also consider reputation mechanisms. We complement the game-theoretic analysis with practical examples of applications in prediction platforms, community sensing, and peer grading.

Author : Nikos Vlassis
Publisher : Morgan & Claypool Publishers
Page : 84 pages
File Size : 54,7 Mb
Release : 2007-06-01
Category : Technology & Engineering
ISBN : 9781598295276

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A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence by Nikos Vlassis Pdf

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.

Author : Simon D. Parsons,Piotr Gymtrasiewicz,Michael Wooldridge
Publisher : Springer Science & Business Media
Page : 403 pages
File Size : 53,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461511076

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Game Theory and Decision Theory in Agent-Based Systems by Simon D. Parsons,Piotr Gymtrasiewicz,Michael Wooldridge Pdf

Game Theory And Decision Theory In Agent-Based Systems is a collection of papers from international leading researchers, that offers a broad view of the many ways game theory and decision theory can be applied in agent-based systems, from standard applications of the core elements of the theory to more cutting edge developments. The range of topics discussed in this book provide the reader with the first comprehensive volume that reflects both the depth and breadth of work in applying techniques from game theory and decision theory to design agent-based systems. Chapters include: Selecting Partners; Evolution of Agents with Moral Sentiments in an IPD Exercise; Dynamic Desires; Emotions and Personality; Decision-Theoretic Approach to Game Theory; Shopbot Economics; Finding the Best Way to Join in; Shopbots and Pricebots in Electronic Service Markets; Polynomial Time Mechanisms; Multi-Agent Q-learning and Regression Trees; Satisficing Equilibria; Investigating Commitment Flexibility in Multi-agent Contracts; Pricing in Agent Economies using Multi-agent Q-learning; Using Hypergames to Increase Planned Payoff and Reduce Risk; Bilateral Negotiation with Incomplete and Uncertain Information; Robust Combinatorial Auction Protocol against False-name Bids.

Author : Tshilidzi Marwala
Publisher : Morgan Kaufmann
Page : 0 pages
File Size : 55,7 Mb
Release : 2024-10-01
Category : Mathematics
ISBN : 0443239827

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Mechanism Design, Behavioral Science and Artificial Intelligence in International Relations by Tshilidzi Marwala Pdf

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.

Author : Argyrios Deligkas,Aris Filos-Ratsikas
Publisher : Springer Nature
Page : 435 pages
File Size : 43,6 Mb
Release : 2023-09-03
Category : Computers
ISBN : 9783031432545

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Algorithmic Game Theory by Argyrios Deligkas,Aris Filos-Ratsikas Pdf

This book constitutes the proceedings of the 16th International Symposium on Algorithmic Game Theory, SAGT 2023, which took place in Egham, UK, in September 2023. The 26 full papers included in this book were carefully reviewed and selected from 59 submissions. They were organized in topical sections as follows: ​computational aspects and efficiency in games; computational social choice; fair division; matching and mechanism design.

Author : Roger A. McCain
Publisher : Edward Elgar Publishing
Page : 269 pages
File Size : 45,9 Mb
Release : 2010
Category : Political Science
ISBN : 9781849802208

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Game Theory and Public Policy by Roger A. McCain Pdf

Game theory is useful in understanding collective human activity as the outcome of interactive decisions. In recent years it has become a more prominent aspect of research and applications in public policy disciplines such as economics, philosophy, management and political science, and in work within public policy itself. Here Roger McCain makes use of the analytical tools of game theory with the pragmatic purpose of identifying problems and exploring potential solutions in public policy. In practice, the influence of game theory on public policy and related disciplines has been less a consequence of broad theorems than of insightful examples. Accordingly, the author offers a critical review of major topics from both cooperative and noncooperative game theory, including less-known ideas in noncooperative game theory and constructive proposals for new approaches. In so doing, he provides a toolkit for the analysis of public policy as well as a clearer understanding of the public policy enterprise itself. The author s unique approach and treatment of game theory will be a useful resource for students and scholars of economics and public policy, as well as for policymakers themselves.

Author : Reshef Meir
Publisher : Morgan & Claypool
Page : 167 pages
File Size : 50,5 Mb
Release : 2018-06-11
Category : Computers
ISBN : 1681733617

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Strategic Voting by Reshef Meir Pdf

Social choice theory deals with aggregating the preferences of multiple individuals regarding several available alternatives, a situation colloquially known as voting. There are many different voting rules in use and even more in the literature, owing to the various considerations such an aggregation method should take into account. The analysis of voting scenarios becomes particularly challenging in the presence of strategic voters, that is, voters that misreport their true preferences in an attempt to obtain a more favorable outcome. In a world that is tightly connected by the Internet, where multiple groups with complex incentives make frequent joint decisions, the interest in strategic voting exceeds the scope of political science and is a focus of research in economics, game theory, sociology, mathematics, and computer science. The book has two parts. The first part asks "are there voting rules that are truthful?" in the sense that all voters have an incentive to report their true preferences. The seminal Gibbard-Satterthwaite theorem excludes the existence of such voting rules under certain requirements. From this starting point, we survey both extensions of the theorem and various conditions under which truthful voting is made possible (such as restricted preference domains). We also explore the connections with other problems of mechanism design such as locating a facility that serves multiple users. In the second part, we ask "what would be the outcome when voters do vote strategically?" rather than trying to prevent such behavior. We overview various game-theoretic models and equilibrium concepts from the literature, demonstrate how they apply to voting games, and discuss their implications on social welfare. We conclude with a brief survey of empirical and experimental findings that could play a key role in future development of game theoretic voting models.

Author : Kagan Tumer,David Wolpert
Publisher : Springer Science & Business Media
Page : 323 pages
File Size : 40,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781441989093

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Collectives and the Design of Complex Systems by Kagan Tumer,David Wolpert Pdf

Many complex systems found in nature can be viewed as function optimizers. In particular, they can be viewed as such optimizers of functions in extremely high dimensional spaces. Given the difficulty of performing such high-dimensional op timization with modern computers, there has been a lot of exploration of computa tional algorithms that try to emulate those naturally-occurring function optimizers. Examples include simulated annealing (SA [15,18]), genetic algorithms (GAs) and evolutionary computation [2,3,9,11,20-22,24,28]. The ultimate goal of this work is an algorithm that can, for any provided high-dimensional function, come close to extremizing that function. Particularly desirable would be such an algorithm that works in an adaptive and robust manner, without any explicit knowledge of the form of the function being optimized. In particular, such an algorithm could be used for distributed adaptive control---one of the most important tasks engineers will face in the future, when the systems they design will be massively distributed and horribly messy congeries ofcomputational systems.

Author : Tshilidzi Marwala,Evan Hurwitz
Publisher : Springer
Page : 204 pages
File Size : 54,9 Mb
Release : 2017-09-18
Category : Computers
ISBN : 9783319661049

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Artificial Intelligence and Economic Theory: Skynet in the Market by Tshilidzi Marwala,Evan Hurwitz Pdf

This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.