Artificial Intelligence How Computers Think
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An Introduction To Artificial Intelligence
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Author : Richard Bellman
language : en
Publisher: Thomson Course Technology
Release Date : 1978
An Introduction To Artificial Intelligence written by Richard Bellman and has been published by Thomson Course Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Reference categories.
Artificial Intelligence How Computers Think
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Author : Kawal Arora
language : en
Publisher: Walnut Publication
Release Date : 2020-10-02
Artificial Intelligence How Computers Think written by Kawal Arora and has been published by Walnut Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-02 with Computers categories.
We have seen lots of books, blogs, YouTube channels, and other resources on Artificial Intelligence. We decided to write this book because there are very few of them on the internet that connects essential learning to industry requirements. After experiencing various shades of academia and industry, we thought of bringing our experience for others.
Artificial Intelligence
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Author : Richard Bellman
language : en
Publisher: Course Technology
Release Date : 1985-05
Artificial Intelligence written by Richard Bellman and has been published by Course Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-05 with Artificial intelligence categories.
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
The Myth Of Artificial Intelligence
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Author : Erik J. Larson
language : en
Publisher: Belknap Press
Release Date : 2021-04-06
The Myth Of Artificial Intelligence written by Erik J. Larson and has been published by Belknap Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Computers categories.
“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
The Handbook Of Artificial Intelligence
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Author : Avron Barr
language : en
Publisher:
Release Date : 1982
The Handbook Of Artificial Intelligence written by Avron Barr and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Artificial intelligence categories.
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 Machines Think
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Author : Nigel Ford
language : en
Publisher:
Release Date : 1987-05-11
How Machines Think written by Nigel Ford and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-05-11 with Computers categories.
Aims to introduce those without a mathematical or scientific basck ground to key AI concepts. Programming details are given in PROLOG but with parallel plain English versions, so the book can be read in either language.
Knowledge Transfer Through Artificial Intelligence A I In Multinational Companies
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Author : Alexandra Arbter
language : en
Publisher: GRIN Verlag
Release Date : 2022-11-24
Knowledge Transfer Through Artificial Intelligence A I In Multinational Companies written by Alexandra Arbter and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-24 with Business & Economics categories.
Diploma Thesis from the year 2009 in the subject Business economics - Information Management, grade: 1, Universities of Applied Sciences Wien (FHWien), language: English, abstract: The subject of this paper is to research and evaluate, the results and the potential of knowledge acquisition through a framework by involving artificial intelligence (in the form of an automated intelligent agent) to acquire and manage intellectual capital for future organizational research and development, availability and competitiveness. Focus of this study is multinational corporations, which are complex knowledge-driven industries, managing their intellectual capital over multiple cultures, locally and globally. Even though codified knowledge and its acquisition is widespread applied, tacit knowledge has showed intangible in its inclusion within the organization‘s knowledge base. The aim is to determine in which relation or what kind of potential there is to locate in an artificial intelligence approach, in order to obtain the most precious knowledge, which is tacit. Market complexity as well as internal organizational trends and developments have changed the way firms organize their activities locally as well as globally, both in terms of tangible and intangible assets. The dynamics of multinational companies (MNCs) within the markets and their efforts to manage their intellectual capital has become a competitive factor in the present economic globalization. Their competitive advantage is dependent on their employee‘s expert knowledge, which is mostly tacit. Concomitantly, the exploitation and protection of intellectual property or more also described as assets, as well as how they are being managed, depends a firm‘s economical future. The science of artificial intelligence aims to attempt not just to comprehend how humans think, but also to construct and design intelligent entities.
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.