Algorithms Are Not Enough

Algorithms Are Not Enough

Author: Herbert L. Roitblat

Publisher: MIT Press

Published: 2020-10-13

Total Pages: 340

ISBN-13: 0262044129

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Why a new approach is needed in the quest for general artificial intelligence. Since the inception of artificial intelligence, we have been warned about the imminent arrival of computational systems that can replicate human thought processes. Before we know it, computers will become so intelligent that humans will be lucky to kept as pets. And yet, although artificial intelligence has become increasingly sophisticated—with such achievements as driverless cars and humanless chess-playing—computer science has not yet created general artificial intelligence. In Algorithms Are Not Enough, Herbert Roitblat explains how artificial general intelligence may be possible and why a robopocalypse is neither imminent, nor likely. Existing artificial intelligence, Roitblat shows, has been limited to solving path problems, in which the entire problem consists of navigating a path of choices—finding specific solutions to well-structured problems. Human problem-solving, on the other hand, includes problems that consist of ill-structured situations, including the design of problem-solving paths themselves. These are insight problems, and insight is an essential part of intelligence that has not been addressed by computer science. Roitblat draws on cognitive science, including psychology, philosophy, and history, to identify the essential features of intelligence needed to achieve general artificial intelligence. Roitblat describes current computational approaches to intelligence, including the Turing Test, machine learning, and neural networks. He identifies building blocks of natural intelligence, including perception, analogy, ambiguity, common sense, and creativity. General intelligence can create new representations to solve new problems, but current computational intelligence cannot. The human brain, like the computer, uses algorithms; but general intelligence, he argues, is more than algorithmic processes.


Solving Human Intelligence

Solving Human Intelligence

Author: Dan Anghel

Publisher: DAN ANGHEL

Published:

Total Pages: 83

ISBN-13:

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Solving Human Intelligence: Lessons from the Intersection of AI and Neuroscience By Dan Anghel Unlock the Secrets of Human Intelligence Through AI and Neuroscience In Solving Human Intelligence, Dan Anghel takes readers on a fascinating journey through the intersection of two groundbreaking fields: Artificial Intelligence (AI) and Neuroscience. This thought-provoking book explores how advances in AI are not only revolutionizing technology but also providing new insights into the workings of the human mind. What can machines teach us about ourselves? Dan Anghel examines how AI models, inspired by brain structures and cognitive processes, offer a unique lens to decode the mysteries of human intelligence. From neural networks that mimic brain pathways to the algorithms driving machine learning, the book delves into how these innovations help us better understand memory, learning, consciousness, and decision-making. Key Themes Explored in the Book: The AI-Neuroscience Connection: Discover how cutting-edge AI techniques are shaped by and contribute to the field of neuroscience, leading to deeper insights into how we think, learn, and adapt. Learning from Machines: How AI systems like deep learning networks are helping scientists explore cognitive functions such as pattern recognition, attention, and problem-solving. Consciousness and Artificial Intelligence: Explore the fascinating philosophical and scientific questions surrounding consciousness—both human and machine—and what it could mean for the future of AI. Bridging the Gap: Practical lessons drawn from AI and neuroscience that can help in fields like education, psychology, and even personal development. Ethical Implications: As AI advances, what responsibilities do we carry in shaping the future of intelligence, both artificial and human? Why Read This Book? Whether you're a student of neuroscience, an AI enthusiast, or simply curious about the future of human intelligence, Solving Human Intelligence offers profound insights that challenge traditional views on the mind. Dan Anghel combines rigorous scientific research with accessible language, making complex topics digestible for a broad audience. This book offers readers a deep dive into how technology and biology are converging to shape the future of intelligence—and what that means for humanity.


Birth of Intelligence

Birth of Intelligence

Author: Daeyeol Lee

Publisher:

Published: 2020

Total Pages: 233

ISBN-13: 0190908327

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As man-made machines become more powerful and smarter, will their intelligence eventually exceed our own? To accurately predict how the relationship between human and artificial intelligence will change in the future, it is essential to understand the origin and limits of human intelligence. In Birth of Intelligence, distinguished neuroscientist Daeyeol Lee tackles these pressing fundamental issues. Lee reveals how intelligence is the ability of a biological agent to solve complex decision-making problems in diverse and unpredictable environments. Furthermore, understanding how intelligent behavior emerges from interaction among multiple learning systems will provide valuable insights into the ultimate nature of human intelligence.


Artificial Intelligence and Problem Solving

Artificial Intelligence and Problem Solving

Author: Danny Kopec

Publisher: Mercury Learning and Information

Published: 2016-06-09

Total Pages: 343

ISBN-13: 1944534687

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This book lends insight into solving some well-known AI problems using the most efficient problem-solving methods by humans and computers. The book discusses the importance of developing critical-thinking methods and skills, and develops a consistent approach toward each problem. This book assembles in one place a set of interesting and challenging AI–type problems that students regularly encounter in computer science, mathematics, and AI courses. These problems are not new, and students from all backgrounds can benefit from the kind of deductive thinking that goes into solving them. The book is especially useful as a companion to any course in computer science or mathematics where there are interesting problems to solve. Features: •Addresses AI and problem-solving from different perspectives •Covers classic AI problems such as Sudoku, Map Coloring, Twelve Coins, Red Donkey, Cryptarithms, Monte Carlo Methods, Rubik’s Cube, Missionaries/Cannibals, Knight’s Tour, Monty Hall, and more •Includes a companion disc with source code, solutions, figures, and more •Offers playability sites where students can exercise the process of developing their solutions •Describes problem-solving methods that might be applied to a variety of situations eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected].


Intelligence and the Brain

Intelligence and the Brain

Author: Dennis Garlick

Publisher: AESOP Press

Published: 2010

Total Pages: 256

ISBN-13: 0615319211

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This book turns the corner and finally provides a convincing explanation of IQ and human intelligence. It begins by rejecting some of the most basic assumptions that psychologists make about intelligence, including that intelligence should be defined by behavior. Instead, it argues that intelligence is about the ability to understand. It then uses recent scientific findings about the brain to show how changes in the brain lead to understanding. Readers will find that this book contains many revelations that will profoundly change their perception of how their own brain works. This book will also explore the startling implication of a sensitive period for developing intelligence, arguing that children can learn differently than adults. Anyone who is interested in how the brain works, why people differ in intelligence, and how a child can be a genius will want to read this book.


Artificial Intelligence

Artificial Intelligence

Author: Melanie Mitchell

Publisher: Farrar, Straus and Giroux

Published: 2019-10-15

Total Pages: 336

ISBN-13: 0374715238

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Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.


Artificial Intelligence

Artificial Intelligence

Author: Stuart Russell

Publisher: Createspace Independent Publishing Platform

Published: 2016-09-10

Total Pages: 626

ISBN-13: 9781537600314

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Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.


Artificial Intelligence

Artificial Intelligence

Author: George F. Luger

Publisher: Pearson Higher Ed

Published: 2011-11-21

Total Pages: 779

ISBN-13: 0133001733

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI. In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.


A Human Algorithm

A Human Algorithm

Author: Flynn Coleman

Publisher: Catapult

Published: 2020-10-20

Total Pages: 337

ISBN-13: 1640094288

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A groundbreaking narrative on the urgency of ethically designed AI and a guidebook to reimagining life in the era of intelligent technology. The Age of Intelligent Machines is upon us, and we are at a reflection point. The proliferation of fast–moving technologies, including forms of artificial intelligence akin to a new species, will cause us to confront profound questions about ourselves. The era of human intellectual superiority is ending, and we need to plan for this monumental shift. A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socioeconomic world order, also have the potential to transform our health and well–being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness. International human rights attorney Flynn Coleman deftly argues that it is critical that we instill values, ethics, and morals into our robots, algorithms, and other forms of AI. Equally important, we need to develop and implement laws, policies, and oversight mechanisms to protect us from tech’s insidious threats. To realize AI’s transcendent potential, Coleman advocates for inviting a diverse group of voices to participate in designing our intelligent machines and using our moral imagination to ensure that human rights, empathy, and equity are core principles of emerging technologies. Ultimately, A Human Algorithm is a clarion call for building a more humane future and moving conscientiously into a new frontier of our own design. “[Coleman] argues that the algorithms of machine learning––if they are instilled with human ethics and values––could bring about a new era of enlightenment.” —San Francisco Chronicle