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Attempts a Comparison of How Human's Solve Problems & How the Commodore 64 Might Be Programmed To Do So. Text Can Be of Interest to the Computer Science As Well As the Psychology Student
THE ARTIFICIAL INTELLIGENCE MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE ARTIFICIAL INTELLIGENCE MCQ TO EXPAND YOUR ARTIFICIAL INTELLIGENCE KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY.
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The book demonstrates to readers interested in social life in an understandable way how AI works and how it will dramatically change all areas of life. From the history of AI to its techniques and its diverse fields of application to its ethical-philosophical implications, all relevant aspects are presented in detail. The author does not remain descriptive, but also takes a critical stance on AI development in clear words. For the reader, the explanations are designed as a professional support corset, in order to be able to act as a knowledgeable counterpart to the AI experts. The last two chapters take the reader into the future of life with super AI. With daring scenarios, the author alerts the reader in an enjoyable way to the breathtaking and socially highly explosive perspectives associated with AI and the ethical and philosophical questions that arise from it. This book is a translation of the original German 1st edition Machtwechsel der Intelligenzen by Günter Cisek, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.
Apocalyptic AI, the hope that we might one day upload our minds into machines or cyberspace and live forever, is a surprisingly wide-spread and influential idea, affecting everything from the world view of online gamers to government research funding and philosophical thought. In Apocalyptic AI, Robert Geraci offers the first serious account of this "cyber-theology" and the people who promote it. Drawing on interviews with roboticists and AI researchers and with devotees of the online game Second Life, among others, Geraci illuminates the ideas of such advocates of Apocalyptic AI as Hans Moravec and Ray Kurzweil. He reveals that the rhetoric of Apocalyptic AI is strikingly similar to that of the apocalyptic traditions of Judaism and Christianity. In both systems, the believer is trapped in a dualistic universe and expects a resolution in which he or she will be translated to a transcendent new world and live forever in a glorified new body. Equally important, Geraci shows how this worldview shapes our culture. Apocalyptic AI has become a powerful force in modern culture. In this superb volume, he shines a light on this belief system, revealing what it is and how it is changing society.
Apocalyptic AI, the hope that we might one day upload our minds into machines and live forever in cyberspace, is a surprisingly wide-spread and influential idea. Robert Geraci points out that the rhetoric of 'Apocalyptic AI' is strikingly similar to that of the apocalyptic traditions of Judaism and Christianity.
“A must-read for anyone looking to understand how artificial intelligence is poised to transform human society and life.” —Paul Scharre, Author of Four Battlegrounds: Power in the Age of Artificial Intelligence The future is now. Acclaimed technologist and inventor Amir Husain explains how we can live amidst the coming age of sentient machines and artificial intelligence—and not only survive, but thrive. Artificial “machine” intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars, automatic checkout at the drugstore, and are unable to live without our smartphones. The discussion around AI is polarized; people think either machines will solve all problems for everyone, or they will lead us down a dark, dystopian path into total human irrelevance. Regardless of what you believe, the idea that we might bring forth intelligent creation can be intrinsically frightening. But what if our greatest role as humans so far is that of creators? Amir Husain, a brilliant inventor and computer scientist, argues that we are on the cusp of writing our next, and greatest, creation myth. It is the dawn of a new form of intellectual diversity, one that we need to embrace in order to advance the state of the art in many critical fields, including security, resource management, finance, and energy. “In The Sentient Machine, Husain prepares us for a brighter future; not with hyperbole about right and wrong, but with serious arguments about risk and potential” (Dr. Greg Hyslop, Chief Technology Officer, The Boeing Company). He addresses broad existential questions surrounding the coming of AI: Why are we valuable? What can we create in this world? How are we intelligent? What constitutes progress for us? And how might we fail to progress? Husain boils down complex computer science and AI concepts into clear, plainspoken language and draws from a wide variety of cultural and historical references to illustrate his points. Ultimately, Husain challenges many of our societal norms and upends assumptions we hold about “the good life.”
As the complexities and problems that plague law enforcement agencies continue to proliferate, the need to utilize every available tool has led to the application of expert systems to law enforcement activities. This first book to explore this application is both practical and conceptually clear as it explains the potential utility of expert systems and their impact on operations and management. Such systems can support command and control through computer-aided dispatching, assist in the solution of high volume crimes such as residential burglaries, aid in the design of programs for the apprehension and prosecution of career criminals and repeat offenders, upgrade personnel through enhanced training programs, and provide an improved method for the delivery of technical assistance and training services. Until now, literature to assist organizations that could benefit from this technology has been scarce. Ratledge and Jacoby have geared their discussions to a wide audience which includes both practitioners and the academic community. This handbook offers clear, systematic explanations of the applications of expert systems in the world of law enforcement. It discusses the impact of these systems on traditional ways of policing and crime solving, and details a set of practical guidelines for jurisdictions considering the use of expert systems. The text is designed to present information in an order that progresses from general to technical aspects of the subject. The first two chapters provide an overview of expert systems as they apply to different law enforcement areas and discuss the policy issues they create. The next section describes practical applications of expert systems in computer-aided dispatching, crime solving, and training. Chapter 4 explains the basic steps in building expert systems, its terminology, and general characteristics. Chapter 5 offers an introduction to artificial intelligence and its uses in problem solving and expert systems. Written with the expert systems designer or data processing manager in mind, Chapter 6 reviews the problems encountered in linking inferencing to data processing and the efficiencies and technical requirements of the system. In Chapter 7, a case study of the Baltimore County Police Department's expert system for residential burglaries is presented and the steps taken in the development of that system are described. Included in the valuable appendices are a list of vendors, two bibliographies including an annotated one relating to current policing issues and one dealing with technical publications, and a glossary. This timely handbook will enable practitioners in criminal justice to make informed decisions regarding the implementation of expert systems. It also provides up-to-the-minute information for computer system consultants and academicians and students in computer science and criminal justice administration.
As has been pointed out by several industrial game AI developers the lack of behavioral modularity across games and in-game tasks is detrimental for the development of high quality AI [605, 171]. An increasingly popular method for ad-hoc behavior authoring that eliminates the modularity limitations of FSMs and BTs is the utility-based AI approach which can be used for the design of control and decision making systems in games [425, 557]. Following this approach, instances in the game get assigned a particular utility function that gives a value for the importance of the particular instance [10, 169]. For instance, the importance of an enemy being present at a particular distance or the importance of an agent’s health being low in this particular context. Given the set of all utilities available to an agent and all the options it has, utility-based AI decides which is the most important option it should consider at this moment [426]. The utility-based approach is grounded in the utility theory of economics and is based on utility function design. The approach is similar to the design of membership functions in a fuzzy set. A utility can measure anything from observable objective data (e.g., enemy health) to subjective notions such as emotions, mood and threat. The various utilities about possible actions or decisions can be aggregated into linear or non-linear formulas and guide the agent to take decisions based on the aggregated utility. The utility values can be checked every n frames of the game. So while FSMs and BTs would examine one decision at a time, utility-based AI architectures