Problem solving is a central topic for both cognitive psychology and artificial intelligence (AI). Psychology seeks to analyze naturally occur ring problem solving into hypothetical processes, while AI seeks to synthesize problem-solving performance from well-defined processes. Psychology may suggest possible processes to AI and, in turn, AI may suggest plausible hypotheses to psychology. It should be useful for both sides to have some idea of the other's contribution-hence this book, which brings together overviews of psychological and AI re search in major areas of problem solving. At a more general level, this book is intended to be a contribution toward comparative cognitive science. Cognitive science is the study of intelligent systems, whether natural or artificial, and treats both organ isms and computers as types of information-processing systems. Clearly, humans and typical current computers have rather different functional or cognitive architectures. Thus, insights into the role of cognitive ar chitecture in performance may be gained by comparing typical human problem solving with efficient machine problem solving over a range of tasks. Readers may notice that there is little mention of connectionist ap proaches in this volume. This is because, at the time of writing, such approaches have had little or no impact on research at the problem solving level. Should a similar volume be produced in ten years or so, of course, a very different story may need to be told.

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.

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.

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.

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.

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].

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.

A leading artificial intelligence researcher lays out a new approach to AI that will enable people to coexist successfully with increasingly intelligent machines.

This book shows how collective intelligence combined with new technologies can help us solve the world's biggest problems.

The most comprehensive, up-to-date, and readable textbook on human intelligence, written by leading experts in the field.