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Human and Machine Thinking

Human and Machine Thinking
Author: Philip N. Johnson-Laird
Publisher: Psychology Press
Total Pages: 221
Release: 2013-11-05
Genre: Language Arts & Disciplines
ISBN: 1135440379

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This book aims to reach an understanding of how the mind carries out three sorts of thinking -- deduction, induction, and creation -- to consider what goes right and what goes wrong, and to explore computational models of these sorts of thinking. Written for students of the mind -- psychologists, computer scientists, philosophers, linguists, and other cognitive scientists -- it also provides general readers with a self-contained account of human and machine thinking. The author presents his point of view, rather than a review, as simply as possible so that no technical background is required. Like the field of research itself, it calls for hard thinking about thinking.


Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
Author: Krishna Kant Singh
Publisher: John Wiley & Sons
Total Pages: 272
Release: 2020-07-08
Genre: Computers
ISBN: 1119640369

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Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.


The Cognitive Approach to Conscious Machines

The Cognitive Approach to Conscious Machines
Author: Pentti O. Haikonen
Publisher: Imprint Academic
Total Pages: 302
Release: 2003
Genre: Computers
ISBN: 9780907845423

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The author argues that true conscious machines can be built, but rejects artificial intelligence and classical neural networks in favor of the emulation of the cognitive processes of the brain. Novel views on consciousness and the mind-body problem are presented.


Thinking Machines and the Philosophy of Computer Science

Thinking Machines and the Philosophy of Computer Science
Author: Jordi Vallverdú
Publisher: IGI Global
Total Pages: 461
Release: 2010-01-01
Genre: Computers
ISBN: 1616920157

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"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.


Mind Computation

Mind Computation
Author: Shi Zhongzhi
Publisher: World Scientific
Total Pages: 488
Release: 2017-02-17
Genre: Computers
ISBN: 981314582X

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Mind computation is a hot topic of intelligence science. It is explored by computing to explain the theoretical basis of human intelligence. Through long-term research, a mind model CAM (Consciousness and Memory) is proposed, which provides a general framework for brain-like intelligence and brain-like intelligent systems. This novel book centers on mind model CAM, systematically discusses the theoretical basis of mind computation in nine chapters. Because of its advanced progresses on brain-like intelligence, it is useful as a primary reference volume for professionals and graduate students in intelligence science, cognitive science and artificial intelligence.


Thinking Computers and Virtual Persons

Thinking Computers and Virtual Persons
Author: Eric Dietrich
Publisher: Academic Press
Total Pages: 376
Release: 2014-05-10
Genre: Computers
ISBN: 1483217655

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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.


Human and Machine Perception 3

Human and Machine Perception 3
Author: Virginio Cantoni
Publisher: Springer Science & Business Media
Total Pages: 247
Release: 2012-12-06
Genre: Computers
ISBN: 1461513618

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The following are the proceedings of the Fourth International Workshop on Human and Machine Perception held in Palermo, Italy, on June 20 -23, 2000, under the auspices of three Institutions: the Cybernetic and Biophysics Group (GNCB) of the Italian National Research Council (CNR) and the two Inter-Department Centers of Cognitive Sciences of Palermo and Pavia University respectively. A broad spectrum of topics are covered in this series, ranging from computer perception to psychology and physiology of perception. The theme of this workshop on Human and Machine Perception was focused on Thinking, Deciding, and Acting. As in the past editions the final goal has been the analysis and the comparison of biological and artificial solutions. The focus of the lectures has been on presenting the state-of-the-art and outlining open questions. In particular, they sought to stress links, suggesting possible synergies between the different cultural areas. The panel discussion has been conceived as a forum for an open debate, briefly introduced by each panelist, and mainly aimed at deeper investigation of the different approaches to perception and strictly related topics. The panelists were asked to prepare a few statements on hot-points as a guide for discussion. These statements were delivered to the participants together with the final program, for a more qualified discussion.


Cognitive Computing and Big Data Analytics

Cognitive Computing and Big Data Analytics
Author: Judith S. Hurwitz
Publisher: John Wiley & Sons
Total Pages: 288
Release: 2015-04-08
Genre: Computers
ISBN: 1118896785

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A comprehensive guide to learning technologies that unlock thevalue in big data Cognitive Computing provides detailed guidance towardbuilding a new class of systems that learn from experience andderive insights to unlock the value of big data. This book helpstechnologists understand cognitive computing's underlyingtechnologies, from knowledge representation techniques and naturallanguage processing algorithms to dynamic learning approaches basedon accumulated evidence, rather than reprogramming. Detailed caseexamples from the financial, healthcare, and manufacturing walkreaders step-by-step through the design and testing of cognitivesystems, and expert perspectives from organizations such asCleveland Clinic, Memorial Sloan-Kettering, as well as commercialvendors that are creating solutions. These organizations provideinsight into the real-world implementation of cognitive computingsystems. The IBM Watson cognitive computing platform is describedin a detailed chapter because of its significance in helping todefine this emerging market. In addition, the book includesimplementations of emerging projects from Qualcomm, Hitachi, Googleand Amazon. Today's cognitive computing solutions build on establishedconcepts from artificial intelligence, natural language processing,ontologies, and leverage advances in big data management andanalytics. They foreshadow an intelligent infrastructure thatenables a new generation of customer and context-aware smartapplications in all industries. Cognitive Computing is a comprehensive guide to thesubject, providing both the theoretical and practical guidancetechnologists need. Discover how cognitive computing evolved from promise toreality Learn the elements that make up a cognitive computingsystem Understand the groundbreaking hardware and softwaretechnologies behind cognitive computing Learn to evaluate your own application portfolio to find thebest candidates for pilot projects Leverage cognitive computing capabilities to transform theorganization Cognitive systems are rightly being hailed as the new era ofcomputing. Learn how these technologies enable emerging firms tocompete with entrenched giants, and forward-thinking establishedfirms to disrupt their industries. Professionals who currently workwith big data and analytics will see how cognitive computing buildson their foundation, and creates new opportunities. CognitiveComputing provides complete guidance to this new level ofhuman-machine interaction.


Advanced Lessons in Artificial Intelligence: A Technical Novel and a Readable Primer

Advanced Lessons in Artificial Intelligence: A Technical Novel and a Readable Primer
Author: Harry Katzan Jr.
Publisher: iUniverse
Total Pages: 474
Release: 2024-04-11
Genre: Business & Economics
ISBN: 1663261555

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There are a lot of people that are worried about artificial intelligence, where artificial intelligence is commonly regarded as the science of making machines do things that would require intelligence if performed by humans. Primarily, they think that the adoption of that technology will cause them to lose their jobs, and they will not have anywhere to go for employment. The computer will be doing everything from scrubbing the floor to running an investment bank, and all that is in between. These are primarily educated people who thought they were okay for their entire life. And, it’s not like the bookkeeping and word processing jobs of years ago. It’s everything. Really everything. To boot, you hear statements like, “That could be true that you might lose your job, unless you know AI,” where the acronym AI stands for the two terrible words, artificial intelligence. It is something to worry about, even though deep down, you probably realize it isn’t going to be true. Somehow, the government will take of it. AI stands for Artificial Intelligence, as I said, and we will use those two letters throughout this volume. AI books are simply hard to read, and authors like to throw around unfamiliar terms like neuron, cognitive science, and Singularity, and sooner or later, they will end up with some math, and there are many people that don’t like math. They could do math if they need to, but they prefer not to. Moreover, it is hard to remember the subject when it is just thrown at you, like you should love it to death. This book uses dialog to ease the pain. The first book is an easy-to-read novel with AI thrown in when appropriate, or it is an AI book with the novel thrown in when the AI is getting sketchy. You can share their misgivings. We have added something more to help you with the subject matter of the first book. We have included a supplemental book. The second book is a pure and simple AI Primer, and we mean really simple, when you like what you’ve read about AI in the technical/novel first part, and you want to get into it more fully. There is another option. You could read the Primer first and then read the novel part for enjoyment and to find out how the people in the first book are getting along with AI. You will be surprised. The volume, that is both books, is a good bargain that you could share with your family or give to a friend. The books contain no violence, no sex, and no bad language, and is suitable to readers of all ages. I hope you enjoy it!