Decision Theory And The Future Of Ai

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Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions

Author : Sucar, L. Enrique
Publisher : IGI Global
ISBN 13 : 160960167X
Total Pages : 444 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions by : Sucar, L. Enrique

Download or read book Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions written by Sucar, L. Enrique and published by IGI Global. This book was released on 2011-10-31 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the goals of artificial intelligence (AI) is creating autonomous agents that must make decisions based on uncertain and incomplete information. The goal is to design rational agents that must take the best action given the information available and their goals. Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial intelligence. This book provides insights into the advantages and challenges of using decision theory models for developing intelligent systems.

The Economics of Artificial Intelligence

Author : Ajay Agrawal
Publisher : University of Chicago Press
ISBN 13 : 0226833127
Total Pages : 172 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal

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.

Decision Theory and the Future of AI

Author : Yang Liu
Publisher : Springer
ISBN 13 : 9783031192845
Total Pages : 0 pages
Book Rating : 4.1/5 (928 download)

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Book Synopsis Decision Theory and the Future of AI by : Yang Liu

Download or read book Decision Theory and the Future of AI written by Yang Liu and published by Springer. This book was released on 2023-10-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book appeals to students, researchers and professionals working in philosophy and related fields on decision theory applied to artificial intelligence. These chapters stem from the topical conference series, ‘Decision Theory and the Future of AI’ which began in 2017 as a collaboration between the Leverhulme Centre for the Future of Intelligence (CFI) and the Centre for the Study of Existential Risk (CSER) at Cambridge, and the Munich Center for Mathematical Philosophy (MCMP) at LMU Munich. The range of topics, and even more so the range of authors and their home disciplines and affiliations, are a tribute to the richness of the territory, both in intellectual and in community-building terms. Previously published in Synthese Volume 198, supplement issue 27, November 2021 Chapter Approval-directed agency and the decision theory of Newcomb-like problems is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Universal Artificial Intelligence

Author : Marcus Hutter
Publisher : Springer Science & Business Media
ISBN 13 : 3540268774
Total Pages : 294 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Universal Artificial Intelligence by : Marcus Hutter

Download or read book Universal Artificial Intelligence written by Marcus Hutter and published by Springer Science & Business Media. This book was released on 2005-12-29 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob lems, pattern recognition, classification, learning, induction, deduction, build ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func tion. It is, therefore, sufficient to study goal-driven AI; e. g. the (biological) goal of animals and humans is to survive and spread. The goal of AI systems should be to be useful to humans.

Intelligent Decision Making: An AI-Based Approach

Author : Gloria Phillips-Wren
Publisher : Springer Science & Business Media
ISBN 13 : 3540768289
Total Pages : 414 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Intelligent Decision Making: An AI-Based Approach by : Gloria Phillips-Wren

Download or read book Intelligent Decision Making: An AI-Based Approach written by Gloria Phillips-Wren and published by Springer Science & Business Media. This book was released on 2008-03-04 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

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.

Explainable, Transparent Autonomous Agents and Multi-Agent Systems

Author : Davide Calvaresi
Publisher : Springer Nature
ISBN 13 : 3030519244
Total Pages : 161 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Explainable, Transparent Autonomous Agents and Multi-Agent Systems by : Davide Calvaresi

Download or read book Explainable, Transparent Autonomous Agents and Multi-Agent Systems written by Davide Calvaresi and published by Springer Nature. This book was released on 2020-07-07 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, EXTRAAMAS 2020, which was due to be held in Auckland, New Zealand, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 8 revised and extended papers were carefully selected from 20 submissions and are presented here with one demo paper. The papers are organized in the following topical sections: explainable agents; cross disciplinary XAI; explainable machine learning; demos.

Dynamic Noncooperative Game Theory

Author : Tamer Basar
Publisher : SIAM
ISBN 13 : 9781611971132
Total Pages : 534 pages
Book Rating : 4.9/5 (711 download)

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Book Synopsis Dynamic Noncooperative Game Theory by : Tamer Basar

Download or read book Dynamic Noncooperative Game Theory written by Tamer Basar and published by SIAM. This book was released on 1999-01-01 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent interest in biological games and mathematical finance make this classic 1982 text a necessity once again. Unlike other books in the field, this text provides an overview of the analysis of dynamic/differential zero-sum and nonzero-sum games and simultaneously stresses the role of different information patterns. The first edition was fully revised in 1995, adding new topics such as randomized strategies, finite games with integrated decisions, and refinements of Nash equilibrium. Readers can now look forward to even more recent results in this unabridged, revised SIAM Classics edition. Topics covered include static and dynamic noncooperative game theory, with an emphasis on the interplay between dynamic information patterns and structural properties of several different types of equilibria; Nash and Stackelberg solution concepts; multi-act games; Braess paradox; differential games; the relationship between the existence of solutions of Riccati equations and the existence of Nash equilibrium solutions; and infinite-horizon differential games.

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.

Decision Loom

Author : Vincent Barabba
Publisher : Triarchy Press
ISBN 13 : 1908009519
Total Pages : 250 pages
Book Rating : 4.9/5 (8 download)

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Book Synopsis Decision Loom by : Vincent Barabba

Download or read book Decision Loom written by Vincent Barabba and published by Triarchy Press. This book was released on 2011-11-30 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision-making has been one of the principal victims of 'modern' thinking. The 'analytical' approach has, of course, brought us vaccines, electricity and the internal combustion engine. But, in seeking to break things down into their component parts and improve the parts, governments and businesses continue to make some astonishingly bad decisions. What's more, many enterprises still pay close attention to 'decisions' and 'decision-making' whilst overlooking the bigger picture: the organizational system within which those decisions get made. This elegant book is a guide for any public, private, government or non-profit organization that needs a system for making better decisions. It sets out to change our 'analytical' habit and invites enterprises to consider the bigger picture. Author Vince Barabba presents an elegantly simple approach to making better decisions. He calls this approach 'The Decision Loom' and bases it on Systems Thinking, Design Thinking and Complexity Theory. He also describes the four core capabilities that any organization must put in place for this approach to work. What's more (because we're humans and prefer stories to instruction manuals) the tapestry of the book is embroidered with fascinating examples from the author's lifetime of experience at the head of American corporate and public decision-making.

Preparing for the Future of Artificial Intelligence

Author : Committee on Technology National Science and Technology Council, Committee on Technology
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781540396518
Total Pages : 58 pages
Book Rating : 4.3/5 (965 download)

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Book Synopsis Preparing for the Future of Artificial Intelligence by : Committee on Technology National Science and Technology Council, Committee on Technology

Download or read book Preparing for the Future of Artificial Intelligence written by Committee on Technology National Science and Technology Council, Committee on Technology and published by Createspace Independent Publishing Platform. This book was released on 2016-10-30 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors.

Competing in the Age of AI

Author : Marco Iansiti
Publisher : Harvard Business Press
ISBN 13 : 1633697630
Total Pages : 181 pages
Book Rating : 4.6/5 (336 download)

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Book Synopsis Competing in the Age of AI by : Marco Iansiti

Download or read book Competing in the Age of AI written by Marco Iansiti and published by Harvard Business Press. This book was released on 2020-01-07 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: "a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Predicting Human Decision-Making

Author : Ariel Rosenfeld
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681732750
Total Pages : 152 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Predicting Human Decision-Making by : Ariel Rosenfeld

Download or read book Predicting Human Decision-Making written by Ariel Rosenfeld and published by Morgan & Claypool Publishers. This book was released on 2018-01-22 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human decision-making often transcends our formal models of "rationality." Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explore the task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying natures—from purely conflicting interaction settings (e.g., security and games) to fully cooperative interaction settings (e.g., autonomous driving and personal robotic assistants). We explore the techniques, algorithms, and empirical methodologies for meeting the challenges that arise from the above tasks and illustrate major benefits from the use of these computational solutions in real-world application domains such as security, negotiations, argumentative interactions, voting systems, autonomous driving, and games. The book presents both the traditional and classical methods as well as the most recent and cutting edge advances, providing the reader with a panorama of the challenges and solutions in predicting human decision-making.

The Gray Rhino

Author : Michele Wucker
Publisher : St. Martin's Press
ISBN 13 : 1466887001
Total Pages : 288 pages
Book Rating : 4.4/5 (668 download)

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Book Synopsis The Gray Rhino by : Michele Wucker

Download or read book The Gray Rhino written by Michele Wucker and published by St. Martin's Press. This book was released on 2016-04-05 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: The #1 English-language bestseller in China--the book that is shaping China's planning and policy for the future. A "gray rhino" is a highly probable, high impact yet neglected threat: kin to both the elephant in the room and the improbable and unforeseeable black swan. Gray rhinos are not random surprises, but occur after a series of warnings and visible evidence. The bursting of the housing bubble in 2008, the devastating aftermath of Hurricane Katrina and other natural disasters, the new digital technologies that upended the media world, the fall of the Soviet Union...all were evident well in advance. Why do leaders and decision makers keep failing to address obvious dangers before they spiral out of control? Drawing on her extensive background in policy formation and crisis management, as well as in-depth interviews with leaders from around the world, Michele Wucker shows in The Gray Rhino how to recognize and strategically counter looming high impact threats. Filled with persuasive stories, real-world examples, and practical advice, The Gray Rhino is essential reading for managers, investors, planners, policy makers, and anyone who wants to understand how to profit by avoiding getting trampled.

Artificial Intelligence for a Better Future

Author : Bernd Carsten Stahl
Publisher : Springer Nature
ISBN 13 : 3030699781
Total Pages : 128 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for a Better Future by : Bernd Carsten Stahl

Download or read book Artificial Intelligence for a Better Future written by Bernd Carsten Stahl and published by Springer Nature. This book was released on 2021-03-17 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.

AI Mastery Trilogy

Author : Andrew Hinton
Publisher : Book Bound Studios
ISBN 13 : 1761590073
Total Pages : 309 pages
Book Rating : 4.7/5 (615 download)

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Book Synopsis AI Mastery Trilogy by : Andrew Hinton

Download or read book AI Mastery Trilogy written by Andrew Hinton and published by Book Bound Studios. This book was released on with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the "AI Mastery Trilogy," the ultimate collection for professionals seeking to conquer the world of artificial intelligence (AI). This 3-in-1 compendium is meticulously crafted to guide you from the foundational principles of AI to the intricate mathematical frameworks and practical coding applications that will catapult your expertise to new heights. Book 1: "AI Basics for Managers" by Andrew Hinton is your gateway to understanding and implementing AI in business. It equips managers with the knowledge to navigate the AI landscape, identify opportunities, and lead their organizations toward a future of innovation and growth. Book 2: "Essential Math for AI" demystifies the mathematical backbone of AI, offering a deep dive into the core concepts that fuel AI systems. From linear algebra to game theory, this book is a treasure trove for anyone eager to grasp the numerical and logical foundations that underpin AI's transformative power. Book 3: "AI and ML for Coders" is the hands-on manual for coders ready to harness AI and machine learning in their projects. It provides a comprehensive overview of AI and ML technologies, practical coding advice, and ethical considerations, ensuring you're well-equipped to create cutting-edge, responsible AI applications. The "AI Mastery Trilogy" is more than just a set of books; it's a comprehensive learning journey designed to empower business leaders, mathematicians, and coders alike. Whether you're looking to lead, understand, or build the future of AI, this collection is an indispensable resource for mastering the art and science of one of the most exciting fields in technology. Embrace the AI revolution and secure your copy of the "AI Mastery Trilogy" today!

Collective Decisions: Theory, Algorithms And Decision Support Systems

Author : Tomasz Szapiro
Publisher : Springer Nature
ISBN 13 : 303084997X
Total Pages : 268 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Collective Decisions: Theory, Algorithms And Decision Support Systems by : Tomasz Szapiro

Download or read book Collective Decisions: Theory, Algorithms And Decision Support Systems written by Tomasz Szapiro and published by Springer Nature. This book was released on 2021-10-13 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a token of appreciation for Professor Gregory E. Kersten (1949–2020), one of the most prominent and active researchers and scholars in the broadly perceived field of collective decisions, notably negotiations, the author of numerous influential papers, books, and edited volumes, a great scientist, mentor, and a loyal friend and colleague. This book contains some papers in the fields of group and collective decisions, voting, social choice, negotiations, and related topics, with examples of real applications. The authors are top researchers and scholars from all over the world whose life and academic career has been inspired and influenced by Professor Kersten.