Causality Correlation And Artificial Intelligence For Rational Decision Making

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Causality, Correlation And Artificial Intelligence For Rational Decision Making

Author : Tshilidzi Marwala
Publisher : World Scientific
ISBN 13 : 9814630888
Total Pages : 207 pages
Book Rating : 4.8/5 (146 download)

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Book Synopsis Causality, Correlation And Artificial Intelligence For Rational Decision Making by : Tshilidzi Marwala

Download or read book Causality, Correlation And Artificial Intelligence For Rational Decision Making written by Tshilidzi Marwala and published by World Scientific. This book was released on 2015-01-02 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman-Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict.

Artificial Intelligence Techniques for Rational Decision Making

Author : Tshilidzi Marwala
Publisher : Springer
ISBN 13 : 3319114247
Total Pages : 178 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Artificial Intelligence Techniques for Rational Decision Making by : Tshilidzi Marwala

Download or read book Artificial Intelligence Techniques for Rational Decision Making written by Tshilidzi Marwala and published by Springer. This book was released on 2014-10-20 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of flexibly-bounded rationality which prescribes that the bounds in Nobel Laureate Herbert Simon’s bounded rationality theory are flexible due to advanced signal processing techniques, Moore’s Law and artificial intelligence. Artificial Intelligence Techniques for Rational Decision Making examines and defines the concepts of causal and correlation machines and applies the transmission theory of causality as a defining factor that distinguishes causality from correlation. It develops the theory of rational counterfactuals which are defined as counterfactuals that are intended to maximize the attainment of a particular goal within the context of a bounded rational decision making process. Furthermore, it studies four methods for dealing with irrelevant information in decision making: Theory of the marginalization of irrelevant information Principal component analysis Independent component analysis Automatic relevance determination method In addition it studies the concept of group decision making and various ways of effecting group decision making within the context of artificial intelligence. Rich in methods of artificial intelligence including rough sets, neural networks, support vector machines, genetic algorithms, particle swarm optimization, simulated annealing, incremental learning and fuzzy networks, this book will be welcomed by researchers and students working in these areas.

The Foundations of Causal Decision Theory

Author : James M. Joyce
Publisher : Cambridge University Press
ISBN 13 : 1139471384
Total Pages : 281 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis The Foundations of Causal Decision Theory by : James M. Joyce

Download or read book The Foundations of Causal Decision Theory written by James M. Joyce and published by Cambridge University Press. This book was released on 1999-04-13 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the non-specialist to the rudiments of expected utility theory. The major technical advance offered by the book is a 'representation theorem' that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. The book solves a long-standing problem for Jeffrey's theory by showing for the first time how to obtain a unique utility and probability representation for preferences and judgements of comparative likelihood. The book also contains a major new discussion of what it means to suppose that some event occurs or that some proposition is true. The most complete and robust defence of causal decision theory available.

Causality for Artificial Intelligence

Author : Jordi Vallverdú
Publisher : Springer Nature
ISBN 13 : 9819731879
Total Pages : 110 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Causality for Artificial Intelligence by : Jordi Vallverdú

Download or read book Causality for Artificial Intelligence written by Jordi Vallverdú and published by Springer Nature. This book was released on with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Smart Computing Applications in Crowdfunding

Author : Bo Xing
Publisher : CRC Press
ISBN 13 : 1351265075
Total Pages : 512 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Smart Computing Applications in Crowdfunding by : Bo Xing

Download or read book Smart Computing Applications in Crowdfunding written by Bo Xing and published by CRC Press. This book was released on 2018-12-07 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on smart computing for crowdfunding usage, looking at the crowdfunding landscape, e.g., reward-, donation-, equity-, P2P-based and the crowdfunding ecosystem, e.g., regulator, asker, backer, investor, and operator. The increased complexity of fund raising scenario, driven by the broad economic environment as well as the need for using alternative funding sources, has sparked research in smart computing techniques. Covering a wide range of detailed topics, the authors of this book offer an outstanding overview of the current state of the art; providing deep insights into smart computing methods, tools, and their applications in crowdfunding; exploring the importance of smart analysis, prediction, and decision-making within the fintech industry. This book is intended to be an authoritative and valuable resource for professional practitioners and researchers alike, as well as finance engineering, and computer science students who are interested in crowdfunding and other emerging fintech topics.

Artificial Intelligence and Economic Theory: Skynet in the Market

Author : Tshilidzi Marwala
Publisher : Springer
ISBN 13 : 3319661043
Total Pages : 206 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Artificial Intelligence and Economic Theory: Skynet in the Market by : Tshilidzi Marwala

Download or read book Artificial Intelligence and Economic Theory: Skynet in the Market written by Tshilidzi Marwala and published by Springer. This book was released on 2017-09-18 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook Of Machine Learning - Volume 2: Optimization And Decision Making

Author : Tshilidzi Marwala
Publisher : World Scientific
ISBN 13 : 981120568X
Total Pages : 321 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Handbook Of Machine Learning - Volume 2: Optimization And Decision Making by : Tshilidzi Marwala

Download or read book Handbook Of Machine Learning - Volume 2: Optimization And Decision Making written by Tshilidzi Marwala and published by World Scientific. This book was released on 2019-11-21 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on , this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provides a starting point for machine learning enthusiasts as a comprehensive guide on classical optimization methods. It also provides an in-depth overview on how artificial intelligence can be used to define, disprove or validate economic modeling and decision making concepts.

Rational Machines and Artificial Intelligence

Author : Tshilidzi Marwala
Publisher : Academic Press
ISBN 13 : 0128209445
Total Pages : 272 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Rational Machines and Artificial Intelligence by : Tshilidzi Marwala

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

Rational Decision and Causality

Author : Ellery Eells
Publisher : Cambridge University Press
ISBN 13 : 1316558908
Total Pages : 229 pages
Book Rating : 4.3/5 (165 download)

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Book Synopsis Rational Decision and Causality by : Ellery Eells

Download or read book Rational Decision and Causality written by Ellery Eells and published by Cambridge University Press. This book was released on 2016-08-26 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1982, Ellery Eells' original work on rational decision making had extensive implications for probability theorists, economists, statisticians and psychologists concerned with decision making and the employment of Bayesian principles. His analysis of the philosophical and psychological significance of Bayesian decision theories, causal decision theories and Newcomb's paradox continues to be influential in philosophy of science. His book is now revived for a new generation of readers and presented in a fresh twenty-first-century series livery, including a specially commissioned preface written by Brian Skyrms, illuminating its continuing importance and relevance to philosophical enquiry.

Mechanism Design, Behavioral Science and Artificial Intelligence in International Relations

Author : Tshilidzi Marwala
Publisher : Elsevier
ISBN 13 : 0443239835
Total Pages : 314 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Mechanism Design, Behavioral Science and Artificial Intelligence in International Relations by : Tshilidzi Marwala

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 2024-07-29 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

Artificial Intelligence in Economics and Finance Theories

Author : Tankiso Moloi
Publisher : Springer Nature
ISBN 13 : 3030429628
Total Pages : 131 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Artificial Intelligence in Economics and Finance Theories by : Tankiso Moloi

Download or read book Artificial Intelligence in Economics and Finance Theories written by Tankiso Moloi and published by Springer Nature. This book was released on 2020-05-07 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.

Handbook Of Machine Learning - Volume 1: Foundation Of Artificial Intelligence

Author : Tshilidzi Marwala
Publisher : World Scientific
ISBN 13 : 9813271248
Total Pages : 329 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Handbook Of Machine Learning - Volume 1: Foundation Of Artificial Intelligence by : Tshilidzi Marwala

Download or read book Handbook Of Machine Learning - Volume 1: Foundation Of Artificial Intelligence written by Tshilidzi Marwala and published by World Scientific. This book was released on 2018-10-22 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive book on the theories of artificial intelligence with an emphasis on their applications. It combines fuzzy logic and neural networks, as well as hidden Markov models and genetic algorithm, describes advancements and applications of these machine learning techniques and describes the problem of causality. This book should serves as a useful reference for practitioners in artificial intelligence.

Rational Decision and Causality

Author : Ellery Eells
Publisher : Cambridge University Press
ISBN 13 : 9780521110112
Total Pages : 0 pages
Book Rating : 4.1/5 (11 download)

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Book Synopsis Rational Decision and Causality by : Ellery Eells

Download or read book Rational Decision and Causality written by Ellery Eells and published by Cambridge University Press. This book was released on 2009-04-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In past years, the traditional Bayesian theory of rational decision making, based on subjective calculations of expected utility, has faced powerful attack from philosophers such as David Lewis and Brian Skyrms, who advance an alternative causal decision theory. The test they present for the Bayesian is exemplified in the decision problem known as 'Newcomb's paradox' and in related decision problems and is held to support the prescriptions of the causal theory. As well as his conclusions, the concepts and methods of Professor Eells introduces in the course of his analyses have extensive implications, not solely for probability theorists narrowly conceived, but for economists, statisticians and psychologists concerned with decision making and the employment of Bayesian principles. They and their students will, in addition, find the early chapters of great use as a background and introduction to the subject as a whole.

Artificial Intelligence, Game Theory and Mechanism Design in Politics

Author : Tshilidzi Marwala
Publisher : Springer Nature
ISBN 13 : 9819951038
Total Pages : 221 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Artificial Intelligence, Game Theory and Mechanism Design in Politics by : Tshilidzi Marwala

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.

Practical Approaches to Causal Relationship Exploration

Author : Jiuyong Li
Publisher : Springer
ISBN 13 : 3319144332
Total Pages : 87 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Practical Approaches to Causal Relationship Exploration by : Jiuyong Li

Download or read book Practical Approaches to Causal Relationship Exploration written by Jiuyong Li and published by Springer. This book was released on 2015-03-02 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief presents four practical methods to effectively explore causal relationships, which are often used for explanation, prediction and decision making in medicine, epidemiology, biology, economics, physics and social sciences. The first two methods apply conditional independence tests for causal discovery. The last two methods employ association rule mining for efficient causal hypothesis generation, and a partial association test and retrospective cohort study for validating the hypotheses. All four methods are innovative and effective in identifying potential causal relationships around a given target, and each has its own strength and weakness. For each method, a software tool is provided along with examples demonstrating its use. Practical Approaches to Causal Relationship Exploration is designed for researchers and practitioners working in the areas of artificial intelligence, machine learning, data mining, and biomedical research. The material also benefits advanced students interested in causal relationship discovery.

Artificial Intelligence and the Law

Author : Tshilidzi Marwala
Publisher : Springer Nature
ISBN 13 : 9819728274
Total Pages : 267 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Artificial Intelligence and the Law by : Tshilidzi Marwala

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:

Artificial Intelligence And Emerging Technologies In International Relations

Author : Bhaso Ndzendze
Publisher : World Scientific
ISBN 13 : 9811234566
Total Pages : 190 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Artificial Intelligence And Emerging Technologies In International Relations by : Bhaso Ndzendze

Download or read book Artificial Intelligence And Emerging Technologies In International Relations written by Bhaso Ndzendze and published by World Scientific. This book was released on 2021-06-03 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Emerging Technologies in International Relations explores the geopolitics between technology and international relations. Through a focus on war, trade, investment flows, diplomacy, regional integration and development cooperation, this book takes a holistic perspective to examine the origins of technology, analysing its current manifestations in the contemporary world. The authors present the possible future roles of artificial intelligence (AI) and other emerging technologies (including blockchain, 3D printing, 5G connectivity and the Internet of Things) in the context of global arena.This book is essential reading to all who seek to understand the reality of the inequitable distribution of these game-changing technologies that are shaping the world. Research questions as well as some policy options for the developing world are explored and the authors make the case for cooperation by the international community as we enter the fourth industrial revolution.