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Computers That Think


Computers That Think
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Download Computers That Think PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Computers That Think book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Artificial Intelligence


Artificial Intelligence
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Author : Margaret Oldroyd Hyde
language : en
Publisher: Enslow Pub Incorporated
Release Date : 1986-01-01

Artificial Intelligence written by Margaret Oldroyd Hyde and has been published by Enslow Pub Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986-01-01 with Juvenile Nonfiction categories.


Describes artificial intelligence, which is that branch of computer science devoted to programming computers to carry out tasks that would require intelligence if they were performed by humans.



When Computers Can Think


When Computers Can Think
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Author : Anthony Berglas
language : en
Publisher: CreateSpace
Release Date : 2015-03-08

When Computers Can Think written by Anthony Berglas and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-08 with Computers categories.


Could computers ever really think? They can now drive cars on suburban streets, control spaceships and have even won the Jeopardy! game show. But could they ever be self aware, create original ideas, develop their own goals, and write complex computer programs?. Why can't computers already think? Why has 60 years of research failed to produce a single intelligent robot? What has been learnt, what are the technically difficult problems, and when are they likely to be solved? What would computers think about? What would be their challenges, goals and aspirations? They certainly would not need children. Would they need us? This book addresses the unseen elephant in the room. Computers are becoming ever more intelligent. The future will not be anything like it used to be. The book differs from other recent works by providing a strong focus on what caused people to ultimately be the way we are, namely upon natural selection. It then attempts to predict how natural selection would condition an intelligent machine's behaviour by considering the very different world that it would experience. Several technical and rhetorical arguments are presented both for and against the hypothesis that computers will, eventually, be able to think. There is also some discussion about what it actually means to be intelligent and the limitations of terms such as "creative" and "self aware". The second and largest part of the book then describes existing AI technologies in some detail. These include symbolic and logic based approaches, Bayesian expert systems, vision, speech, robotics, and an overview of computational neuroscience. This provides a more realistic basis for predictions of the future as well as simply gaining a better understanding of what intelligence actually is. It helps ground abstract philosophical discussions in terms of real, practical technologies. The text is moderately technical while being aimed at the general reader. The book also posits that intelligent machines will be developed as succession of ever more intelligent software tools that are released and used in the real world. The book then analyzes the medium term effects of those semi-intelligent tools upon society. This includes some surprising results from an historical review of existing technologies. There is a growing awareness of these issues, with concerns recently raised by physicist Stephen Hawking, Microsoft founder Bill Gates, and billionaire Elon Musk. 2



Thinking Machines And The Philosophy Of Computer Science Concepts And Principles


Thinking Machines And The Philosophy Of Computer Science Concepts And Principles
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Author : Vallverdú, Jordi
language : en
Publisher: IGI Global
Release Date : 2010-06-30

Thinking Machines And The Philosophy Of Computer Science Concepts And Principles written by Vallverdú, Jordi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-30 with Computers categories.


"This book offers a high interdisciplinary exchange of ideas pertaining to the philosophy of computer science, from philosophical and mathematical logic to epistemology, engineering, ethics or neuroscience experts and outlines new problems that arise with new tools"--Provided by publisher.



Computers And Thought


Computers And Thought
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Author : Edward A. Feigenbaum
language : en
Publisher:
Release Date : 1963

Computers And Thought written by Edward A. Feigenbaum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1963 with Artificial intelligence categories.




Thinking Computers And Virtual Persons


Thinking Computers And Virtual Persons
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Author : Eric Dietrich
language : en
Publisher: Academic Press
Release Date : 2014-05-10

Thinking Computers And Virtual Persons written by Eric Dietrich and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Computers categories.


Thinking Computers and Virtual Persons: Essays on the Intentionality of Machines explains how computations are meaningful and how computers can be cognitive agents like humans. This book focuses on the concept that cognition is computation. Organized into four parts encompassing 13 chapters, this book begins with an overview of the analogy between intentionality and phlogiston, the 17th-century principle of burning. This text then examines the objection to computationalism that it cannot prevent arbitrary attributions of content to the various data structures and representations involved in a computational process. Other chapters consider that the notion of original intentionality is incoherent. This book argues as well that the only way to build an intelligent machine is to build a neural network. The final chapter claims that an entire theoretical framework in cognitive psychology is incompatible with the view that human brains are computers of some sort. This book is a valuable resource for cognitive scientists.



How Ai Thinks


How Ai Thinks
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Author : Nigel Toon
language : en
Publisher: Random House
Release Date : 2024-02-08

How Ai Thinks written by Nigel Toon and has been published by Random House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-08 with Computers categories.


THE #2 TIMES BESTSELLER 'Artificial intelligence is going to have a massive impact on everyone’s lives... an accessible and sensible read that helps demystify AI' Deborah Meaden, entrepreneur and star of Dragon's Den 'Nigel Toon is a visionary leader in the field of artificial intelligence... a must-read' Marc Tremblay, Distinguished Engineer, Microsoft Those who understand how AI thinks are about to win big. We are used to thinking of computers as being a step up from calculators - very good at storing information, and maybe even at playing a logical game like chess. But up to now they haven't been able to think in ways that are intuitive, or respond to questions as a human might. All that has changed, dramatically, in the past few years. Our search engines are becoming answer engines. Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts. But how does an AI understand sentiment or context? How does it play and win games that have an almost infinite number of moves? And how can we work with AI to produce insights and innovations that are beyond human capacity, from writing code in an instant to unfolding the elaborate 3D puzzles of proteins? We stand at the brink of a historic change that will disrupt society and at the same time create enormous opportunities for those who understand how AI thinks. Nigel Toon shows how we train AI to train itself, so that it can paint images that have never existed before or converse in any language. In doing so he reveals the strange and fascinating ways that humans think, too, as we learn how to live in a world shared by machine intelligences of our own creation.



Machines Who Think


Machines Who Think
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Author : Pamela McCorduck
language : en
Publisher: CRC Press
Release Date : 2004-03-17

Machines Who Think written by Pamela McCorduck and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-17 with Computers categories.


This book is a history of artificial intelligence, that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry.



Smarter Than You Think


Smarter Than You Think
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Author : Clive Thompson
language : en
Publisher: Penguin
Release Date : 2013-09-12

Smarter Than You Think written by Clive Thompson and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-12 with Technology & Engineering categories.


A revelatory and timely look at how technology boosts our cognitive abilities—making us smarter, more productive, and more creative than ever It’s undeniable—technology is changing the way we think. But is it for the better? Amid a chorus of doomsayers, Clive Thompson delivers a resounding “yes.” In Smarter Than You Think, Thompson shows that every technological innovation—from the written word to the printing press to the telegraph—has provoked the very same anxieties that plague us today. We panic that life will never be the same, that our attentions are eroding, that culture is being trivialized. But, as in the past, we adapt—learning to use the new and retaining what is good of the old. Smarter Than You Think embraces and extols this transformation, presenting an exciting vision of the present and the future.



Computer Concepts Illustrated Complete


Computer Concepts Illustrated Complete
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Author : June Jamrich Parsons
language : en
Publisher:
Release Date : 1998-12-07

Computer Concepts Illustrated Complete written by June Jamrich Parsons and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-12-07 with Computers categories.


Master concepts quickly and easily with the Illustrated Series form Course Technology--the quick, visual way to learn about cutting-edge computer concepts!



Computational Thinking How Computers Think Decide And Learn When Human Limits Start And Computers Champ Vol 1


Computational Thinking How Computers Think Decide And Learn When Human Limits Start And Computers Champ Vol 1
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Author : Jorge Guerra Pires
language : en
Publisher: Jorge Guerra Pires
Release Date : 2022-07-05

Computational Thinking How Computers Think Decide And Learn When Human Limits Start And Computers Champ Vol 1 written by Jorge Guerra Pires and has been published by Jorge Guerra Pires this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-05 with Computers categories.


In 2013, I wrote a book[1]. At the time, I wanted to explain neural networks in simple terms, I had high school students at my mind. I have expressed my concerns that machine learning was dominating the world, and people had no idea about it, smartphones were not popular in Brazil, and started go gain attention as personal computers. Deep learning started to gain momentum on 2012, and nowadays is kind of the rule. At the time, YouTube was bad, pretty bad a must say: I used to save the links to my videos, as so I could avoid passing through the main page. . Computational thinking is synonymous of algorithms. I cannot think a single computational routine which is not an algorithm; after all, “computers are stupid”, they need to be told what to do even when it is abstract (e.g., machine learning). What is computational think, though? Think like this, a thought experiment: Suppose you give your result, from your model, to someone. Do you believe the person would be able to tell the difference between your solution, from your algorithm, and a human? If not, this is computational thinking. It is a machine (i.e., an algorithm, a routine), doing human-thinking work. As we are going to see based on Kasabov’s work, we may actually be able to send ‘thinking loads’ to computers in the future. Initially, this book supposes to be called computational intelligence. Nonetheless, I thought, we do not necessarily need ‘intelligence’ to build models, not in the sense to artificial intelligence or even human intelligence. Furthermore, as we shall learn from Daniel Kahneman and colleagues, we can achieve nice models for decision making even with simple models, when compared to humans; imagine what we can do with machine learning + cloud computing + databases (such as MongoDB and Firebase)! Possible public Web developers wanting to expand their horizon; here I am being modest, I feel any web coder should learn computational thinking, as so they can add intelligence to their “dummy” apps; People from computational intelligence, waiting to learn new tricks; Computer scientists for sure! I would recommend to computational biologists, and anyone interested in bioinformatics; Applied mathematics, and computational mathematician for sure; Anyone that is opened to new ideas, but has a minimum computer programming background; Maybe, medical doctors and biologists; one of my PhD advisors was a surgeon, with a PhD in mathematics; thus, we may have this profile in medicine and, especially, in biology; External resources and tricks My GitHub profile; Our sandbox; I have used links to my LinkedIn profile, to posts related to the discussions. Feel free to start a conversation on LinkedIn, or to connect! Just comment on the posts, and I will be noticed; I have used several external links, to articles online; this is in addition to the classical/academic reference standard; With Special release of “My selected assays from Medium on Computer programming, Artificial Intelligence” [1] Redes Neurais em termos simples: como aprendemos, pensamos e modelamos. https://www.academia.edu/18365339/Redes_Neurais_em_termos_simples_como_aprendemos_pensamos_e_modelamos?fbclid=IwAR3NLQt003L5QXZQNLSePIxJxUf7NbqsthEjj8rb1zgfpgEgzkiqoNfO0RY. Accessed on 30/06/22.