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Can Computers Do What Humans Do Microform A Comparison Between Artificial Intelligence And Human Intelligence Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Can Computers Do What Humans Do Microform A Comparison Between Artificial Intelligence And Human Intelligence book. This book definitely worth reading, it is an incredibly well-written.
Author : Mikhael Bebela Missakabo
Publisher : National Library of Canada = Bibliothèque nationale du Canada
Page : 288 pages
File Size : 54,8 Mb
Release : 1998
Category : Artificial intelligence
ISBN : 0612339939
Author : Erik J. Larson
Publisher : Harvard University Press
Page : 321 pages
File Size : 48,5 Mb
Release : 2021-04-06
Category : Computers
ISBN : 9780674259928
“Exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it.” —John Horgan “If you want to know about AI, read this book...It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence.” —Peter Thiel Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. A computer scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to reveal why this is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don’t correlate data sets. We make conjectures, informed by context and experience. And we haven’t a clue how to program that kind of intuitive reasoning, which lies at the heart of common sense. Futurists insist AI will soon eclipse the capacities of the most gifted mind, but Larson shows how far we are from superintelligence—and what it would take to get there. “Larson worries that we’re making two mistakes at once, defining human intelligence down while overestimating what AI is likely to achieve...Another concern is learned passivity: our tendency to assume that AI will solve problems and our failure, as a result, to cultivate human ingenuity.” —David A. Shaywitz, Wall Street Journal “A convincing case that artificial general intelligence—machine-based intelligence that matches our own—is beyond the capacity of algorithmic machine learning because there is a mismatch between how humans and machines know what they know.” —Sue Halpern, New York Review of Books
Author : Jobst Landgrebe,Barry Smith
Publisher : Taylor & Francis
Page : 355 pages
File Size : 51,7 Mb
Release : 2022-08-12
Category : Philosophy
ISBN : 9781000628678
The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society.
Author : Edwin Muchiri
Publisher : GRIN Verlag
Page : 4 pages
File Size : 52,9 Mb
Release : 2018-03-09
Category : Computers
ISBN : 9783668656796
Essay from the year 2017 in the subject Engineering - Artificial Intelligence, , language: English, abstract: Artificial intelligence is a technological development that most experts consider to be a significant element of the future. The term Artificial Intelligence (AI) refers to the capability of a computer program to perform tasks or reasoning processes that relate to human intelligence. In his theoretical physics book, Physics of the Future, Michio Kaku, the theoretical physics professor, imagines and describes a future world where artificial intelligence research will evolve to the extent of human beings merging with robots. The current level of AI development has had to grapple with the limited technology that inhibits much achievement in the field. Nonetheless, it is expected to improve human lives and enable brain control of machines in every aspect of life even though this might translate to a future in which scientists predict the existence of human-like machines. Through different approaches of development and implementations of artificial intelligence, it is clear that advancing the sophisticated software and hardware will assist humans in many endeavors, but also surpass human brain and gain conscious abilities in the future.
Author : Cesar A. Hidalgo,Diana Orghian,Jordi Albo Canals,Filipa De Almeida,Natalia Martin
Publisher : MIT Press
Page : 257 pages
File Size : 54,5 Mb
Release : 2021-02-02
Category : Computers
ISBN : 9780262362528
How people judge humans and machines differently, in scenarios involving natural disasters, labor displacement, policing, privacy, algorithmic bias, and more. How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination depending on whether they were carried out by a machine or by a human? What about public surveillance? How Humans Judge Machines compares people's reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions. Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender? César Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly. Through original research, How Humans Judge Machines bring us one step closer tounderstanding the ethical consequences of AI.
Author : Stuart Russell
Publisher : Penguin
Page : 352 pages
File Size : 48,8 Mb
Release : 2019-10-08
Category : Technology & Engineering
ISBN : 9780525558620
"The most important book on AI this year." --The Guardian "Mr. Russell's exciting book goes deep, while sparkling with dry witticisms." --The Wall Street Journal "The most important book I have read in quite some time" (Daniel Kahneman); "A must-read" (Max Tegmark); "The book we've all been waiting for" (Sam Harris) A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage. If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.
Author : Richard J Wallace
Publisher : World Scientific
Page : 368 pages
File Size : 55,6 Mb
Release : 2021-03-02
Category : Computers
ISBN : 9789811232893
This book presents a novel view of intelligence, and of the relationship between machine intelligence and human beings. From this perspective, machine intelligence is viewed as an artificial aid to human intelligence, and the two are seen to form a 'seamless web'.Having established this new perspective on intelligence, the book highlights some basic deficiencies of unaided human intelligence through case studies to show how human beings are capable of destroying existing intelligence networks as well as how they fail to recognize that such intelligence networks are needed. In many such cases, along with the other aspects of the problem, there is also a failure of discourse: bad arguments and the like dominate the discourse, and crucial aspects of the situation are overlooked or glossed over.The book then lays out a proposal on how to deal with this kind of problem — one that relies heavily on techniques developed in AI. This is done in the form of a new kind of grand challenge for AI, involving software monitors that are applied to discourse on major issues. All this is in keeping with the perspective on intelligence and AI presented in this book.
Author : Jon Gabriel
Publisher : Createspace Independent Publishing Platform
Page : 76 pages
File Size : 45,8 Mb
Release : 2016-08-06
Category : Electronic
ISBN : 1536939552
I want to thank you for choosing this book Artificial Intelligence. I wrote this book to help you to understand artificial intelligence and its application to daily activities in life and our modern world. Although most people are familiar with AI in a general way, most of this information will likely surprise you. What will you learn in this Book? This guide will help you discover what artificial intelligence is, as well as how it utilized, in the computing world. You will learn about the use of artificial intelligence in virtual help desks, which help many companies provide answers immediately to their clients. This guide will cover the use of AI in trading and Financial Investing, Artificial Intelligent Software, and Sentence Diagramming. You will find out about the challenges present in artificial intelligence. You will be presented with some important questions and considerations about whether AI can ever be truly creative. You will also be given some examples of AI creating work that seems nearly human. Furthermore, this guide focuses on the differences between human responses to stimuli and those given by artificial intelligence machines. I invite you to grab a copy and have an interesting read! "
Author : Massimo Negrotti
Publisher : Springer Science & Business Media
Page : 168 pages
File Size : 54,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447117766
In recent years a vast literature has been produced on the feasibility of Artificial Intelligence (AI). The topic most frequently discussed is the concept of intelligence, with efforts to demonstrate that it is or is not transferable to the computer. Only rarely has attention been focused on the concept of the artificial per se in order to clarify what kind, depth and scope of performance (including intelligence) it could support. Apart from the classic book by H.A. Simon, The Sciences of the Artificial, published in 1969, no serious attempt has been made to define a conceptual frame for understanding the intimate nature of intelligent machines independently of its claimed or denied human-like features. The general aim of this book is to discuss, from different points of view, what we are losing and what we are gaining from the artificial, particularly from AI, when we abandon the original anthropomorphic pretension. There is necessarily a need for analysis of the history of AI and the limits of its plausibility in reproducing the human mind. In addition, the papers presented here aim at redefining the epistemology and the possible targets of the AI discipline, raising problems, and proposing solutions, which should be understood as typical of the artificial rather than of an information-based conception of man.
Author : Mitch Hoppe
Publisher : Murphy & Moore Publishing
Page : 247 pages
File Size : 41,8 Mb
Release : 2021-11-16
Category : Computers
ISBN : 1639870598
The intelligence exhibited by machines is known as artificial intelligence (AI). The long-term objective of research in AI is to mimic human intelligence. Artificial Intelligence can be classified into artificial general intelligence and artificial biological intelligence. Artificial general intelligence refers to the ability of any intelligent agent to mimic an intellectual task which humans can perform. Artificial biological intelligence aims to understand the natural intelligence of humans. Some of the recent advances in artificial intelligence have been driven by progress in data processing power of modern machines, the use of computational intelligence, statistical methods, and traditional symbolic AI. Some of the tools used include artificial neural networks and mathematical optimization. This book is a valuable compilation of topics, ranging from the basic to the most complex advancements in the field of artificial intelligence. The topics covered herein deal with advanced algorithms as well as the concepts, tools, and techniques that are furthering this discipline. Researchers and students in this field will be assisted by this book.
Author : Jack Belzer,Albert G. Holzman,Allen Kent
Publisher : CRC Press
Page : 522 pages
File Size : 44,7 Mb
Release : 1976-12-01
Category : Computers
ISBN : 0824722558
"This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions."
Author : Paul Thagard
Publisher : MIT Press
Page : 307 pages
File Size : 48,7 Mb
Release : 2021-10-19
Category : Computers
ISBN : 9780262045940
An expert on mind considers how animals and smart machines measure up to human intelligence. Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts, Paul Thagard looks at how computers ("bots") and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines--including Watson, AlphaZero, virtual assistants, and self-driving cars--and the most intelligent animals--including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities.
Author : Cesar Keller
Publisher : Unknown
Page : 210 pages
File Size : 47,8 Mb
Release : 2018-12-08
Category : Electronic
ISBN : 1733501606
We are living through the first stages of the Fourth Industrial Revolution. Workers of all stripes, at all levels, stand to be replaced by machines-by artificial intelligence, in most cases, which is only beginning to have its impact. In years to come, lives will be disrupted. Jobs will be lost. But the news is not altogether bad.(NON) HUMAN INTELLIGENCE shows how the changes to come can be leveraged in favor of the many and not the few. The revolution can be turned to our advantage. Chapter by chapter, the book walks us through how that can be done, with attention to the need for constant education, the rising importance of collective intelligence, and the changing face of leadership, among other things.There is a great deal of potential in moments like this, when the old structures crumble and we must build something new. The new machines will threaten the status quo. But we must look always to the future. If we play our cards right, we can abandon the strictures of everyday labor in favor of rediscovering the best parts of being human.
Author : Callum Wilson,Francesco Marchetti,Marilena Di Carlo,Annalisa Riccardi,Edmondo Minisci
Publisher : Infinite Study
Page : 19 pages
File Size : 48,5 Mb
Release : 2024-06-13
Category : Education
ISBN : 8210379456XXX
The quest to create machines that can solve problems as humans do leads us to intelligent control. This field encompasses control systems that can adapt to changes and learn to improve their actions—traits typically associated with human intelligence. In this work we seek to determine how intelligent these classes of control systems are by quantifying their level of adaptability and learning. First we describe the stages of development towards intelligent control and present a definition based on literature. Based on the key elements of this definition, we propose a novel taxonomy of intelligent control methods, which assesses the extent to which they handle uncertainties in three areas: the environment, the controller, and the goals. This taxonomy is applicable to a variety of robotic and other autonomous systems, which we demonstrate through several examples of intelligent control methods and their classifications. Looking at the spread of classifications based on this taxonomy can help researchers identify where control systems can be made more intelligent.
Author : Stephen Muggleton,Nicholas Chater
Publisher : Oxford University Press
Page : 560 pages
File Size : 45,7 Mb
Release : 2021-07-15
Category : Computers
ISBN : 9780192607461
In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society. This book addresses the leading edge of research in this area. The research described aims to address present incompatibilities of Human and Machine reasoning and learning approaches. According to the influential US funding agency DARPA (originator of the Internet and Self-Driving Cars) this new area represents the Third Wave of Artificial Intelligence (3AI, 2020s-2030s), and is being actively investigated in the US, Europe and China. The chapters of this book have been authored by a mixture of UK and other international specialists. Some of the key questions addressed by the Human-Like Computing programme include how AI systems might 1) explain their decisions effectively, 2) interact with human beings in natural language, 3) learn from small numbers of examples and 4) learn with minimal supervision. Solving such fundamental problems involves new foundational research in both the Psychology of perception and interaction as well as the development of novel algorithmic approaches in Artificial Intelligence.