Architecture in the Age of Artificial Intelligence

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Author :
Publisher : Bloomsbury Publishing
ISBN 13 : 1350165549
Total Pages : 281 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Architecture in the Age of Artificial Intelligence by : Neil Leach

Download or read book Architecture in the Age of Artificial Intelligence written by Neil Leach and published by Bloomsbury Publishing. This book was released on 2021-11-18 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is everywhere – from the apps on our phones to the algorithms of search engines. Without us noticing, the AI revolution has arrived. But what does this mean for the world of design? The first volume in a two-book series, Architecture in the Age of Artificial Intelligence introduces AI for designers and considers its positive potential for the future of architecture and design. Explaining what AI is and how it works, the book examines how different manifestations of AI will impact the discipline and profession of architecture. Highlighting current case-studies as well as near-future applications, it shows how AI is already being used as a powerful design tool, and how AI-driven information systems will soon transform the design of buildings and cities. Far-sighted, provocative and challenging, yet rooted in careful research and cautious speculation, this book, written by architect and theorist Neil Leach, is a must-read for all architects and designers – including students of architecture and all design professionals interested in keeping their practice at the cutting edge of technology.

Artificial Intelligence and Architecture

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Author :
Publisher : Birkhäuser
ISBN 13 : 3035624046
Total Pages : 208 pages
Book Rating : 4.0/5 (356 download)

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Book Synopsis Artificial Intelligence and Architecture by : Stanislas Chaillou

Download or read book Artificial Intelligence and Architecture written by Stanislas Chaillou and published by Birkhäuser. This book was released on 2022-03-07 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Künstliche Intelligenz (KI) hat Eingang in unzählige Branchen gefunden. In der Architektur steckt der Einsatz von KI noch in den Kinderschuhen, doch die Entwicklung der letzten Jahre hat vielversprechende Ergebnisse gebracht. Das Buch ist eine gut verständliche Einführung. Sie bietet einen Überblick über die Geschichte der KI und ihre ersten Anwendungen in der Architektur. Im zweiten Teil präsentiert der Autor konkrete Beispiele für den kreativen Einsatz von KI in der Praxis. Führende Experten, von der Havard-University bis zur Bauhaus Universität, eröffnen schließlich in Essays vielfältige Perspektiven auf das Potenzial von KI. Als Einführung zeigt das Buch ein Panorama dieser neuen technologischen Möglichkeiten und verdeutlicht so das Versprechen, das sie für die Architektur darstellen.

A History of Artificially Intelligent Architecture

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Author :
Publisher :
ISBN 13 : 9781003401858
Total Pages : 0 pages
Book Rating : 4.4/5 (18 download)

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Book Synopsis A History of Artificially Intelligent Architecture by : Danyal Ahmed

Download or read book A History of Artificially Intelligent Architecture written by Danyal Ahmed and published by . This book was released on 2023-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A History of Artificially Intelligent Architecture: Case Studies from the USA, UK, Europe and Japan, 1949-1987 provides a comprehensive survey of architectural projects exhibiting intelligence since the Late First Century right up to the present day. Tracing the social, scientific and technological developments, this book analyses case studies from both conceived and executed architectural projects by Architects and Cyberneticians from the United States, United Kingdom, Europe and Japan from 1949-87. From the Late First Century through to the Seventeenth Century, the scientific endeavors of the Hero of Alexandria, Ramon Llull, Paracelsus, René Descartes, Jacques de Vaucanson, Pierre Jacquet-Droz, and Charles Babbage have been presented in which they attempted to review, analyse and conclude the notion of artificial intelligence. Coming to the Twenty-First Century and witnessing a period, particularly from 1949-87, where nothing had been constant, Architects and Cyberneticians whose architectural projects attempted to simulate intelligence include Cedric Price, Richard Saul Wurman, Nicholas Negroponte, Kenzo Tange, Arata Isozaki, Charles Eames, Ezra D. Ehrenkrantz, Richard Rogers, Renzo Piano, and Gordon Pask respectively. This book asks: How have Polymaths, Architects and Cyberneticians simulated artificial intelligence in their scientific/architectural projects? Is it possible to define intelligence purely based on the history of architecture? Or, on a more extensive level, is it possible to view artificial intelligence originating from the history of architecture instead of computational paradigm? The transdisciplinarity of the book makes it of interest to researchers and students of technologically advanced architecture's history, theory, and criticism, artificial intelligence, cybernetics, information and communications, urban and sustainable design, ergonomics, computer applications, and digital design and fabrication"--

The Routledge Companion to Artificial Intelligence in Architecture

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Author :
Publisher : Routledge
ISBN 13 : 1000372413
Total Pages : 632 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis The Routledge Companion to Artificial Intelligence in Architecture by : Imdat As

Download or read book The Routledge Companion to Artificial Intelligence in Architecture written by Imdat As and published by Routledge. This book was released on 2021-05-06 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference.

Architectural Intelligence

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Author :
Publisher : MIT Press
ISBN 13 : 0262037068
Total Pages : 329 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Architectural Intelligence by : Molly Wright Steenson

Download or read book Architectural Intelligence written by Molly Wright Steenson and published by MIT Press. This book was released on 2017-12-22 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Architects who engaged with cybernetics, artificial intelligence, and other technologies poured the foundation for digital interactivity. In Architectural Intelligence, Molly Wright Steenson explores the work of four architects in the 1960s and 1970s who incorporated elements of interactivity into their work. Christopher Alexander, Richard Saul Wurman, Cedric Price, and Nicholas Negroponte and the MIT Architecture Machine Group all incorporated technologies—including cybernetics and artificial intelligence—into their work and influenced digital design practices from the late 1980s to the present day. Alexander, long before his famous 1977 book A Pattern Language, used computation and structure to visualize design problems; Wurman popularized the notion of “information architecture”; Price designed some of the first intelligent buildings; and Negroponte experimented with the ways people experience artificial intelligence, even at architectural scale. Steenson investigates how these architects pushed the boundaries of architecture—and how their technological experiments pushed the boundaries of technology. What did computational, cybernetic, and artificial intelligence researchers have to gain by engaging with architects and architectural problems? And what was this new space that emerged within these collaborations? At times, Steenson writes, the architects in this book characterized themselves as anti-architects and their work as anti-architecture. The projects Steenson examines mostly did not result in constructed buildings, but rather in design processes and tools, computer programs, interfaces, digital environments. Alexander, Wurman, Price, and Negroponte laid the foundation for many of our contemporary interactive practices, from information architecture to interaction design, from machine learning to smart cities.

A History of Artificially Intelligent Architecture

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Author :
Publisher : Taylor & Francis
ISBN 13 : 1000965708
Total Pages : 200 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis A History of Artificially Intelligent Architecture by : Danyal Ahmed

Download or read book A History of Artificially Intelligent Architecture written by Danyal Ahmed and published by Taylor & Francis. This book was released on 2023-10-23 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: A History of Artificially Intelligent Architecture: Case Studies from the USA, UK, Europe and Japan, 1949-1987 provides a comprehensive survey of architectural projects exhibiting intelligence since the Late First Century right up to the present day. Tracing the social, scientific and technological developments, this book analyses case studies from both conceived and executed architectural projects by Architects and Cyberneticians from the United States, United Kingdom, Europe and Japan from 1949-87. From the Late First Century through to the Seventeenth Century, the scientific endeavors of the Hero of Alexandria, Ramon Llull, Paracelsus, René Descartes, Jacques de Vaucanson, Pierre Jacquet-Droz, and Charles Babbage have been presented in which they attempted to review, analyse and conclude the notion of artificial intelligence. Coming to the Twenty-First Century and witnessing a period, particularly from 1949-87, where nothing had been constant, Architects and Cyberneticians whose architectural projects attempted to simulate intelligence include Cedric Price, Richard Saul Wurman, Nicholas Negroponte, Kenzo Tange, Arata Isozaki, Charles Eames, Ezra D. Ehrenkrantz, Richard Rogers, Renzo Piano, and Gordon Pask respectively. This book asks: How have Polymaths, Architects and Cyberneticians simulated artificial intelligence in their scientific/architectural projects? Is it possible to define intelligence purely based on the history of architecture? Or, on a more extensive level, is it possible to view artificial intelligence originating from the history of architecture instead of computational paradigm? The transdisciplinarity of the book makes it of interest to researchers and students of technologically advanced architecture’s history, theory, and criticism, artificial intelligence, cybernetics, information and communications, urban and sustainable design, ergonomics, computer applications, and digital design and fabrication.

Architects of Intelligence

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 178913126X
Total Pages : 540 pages
Book Rating : 4.7/5 (891 download)

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Book Synopsis Architects of Intelligence by : Martin Ford

Download or read book Architects of Intelligence written by Martin Ford and published by Packt Publishing Ltd. This book was released on 2018-11-23 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Times Best Books of the Year 2018 TechRepublic Top Books Every Techie Should Read Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. Meet the minds behind the AI superpowers as they discuss the science, business and ethics of modern artificial intelligence. Read James Manyika’s thoughts on AI analytics, Geoffrey Hinton’s breakthroughs in AI programming and development, and Rana el Kaliouby’s insights into AI marketing. This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.

Machine Learning

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Author :
Publisher : Routledge
ISBN 13 : 1000600688
Total Pages : 173 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Machine Learning by : Phil Bernstein

Download or read book Machine Learning written by Phil Bernstein and published by Routledge. This book was released on 2022-04-30 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: ‘The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.’ - Phil Bernstein The profession is changing. A new era is rapidly approaching when computers will not merely be instruments for data creation, manipulation and management, but, empowered by artificial intelligence, they will become agents of design themselves. Architects need a strategy for facing the opportunities and threats of these emergent capabilities or risk being left behind. Architecture’s best-known technologist, Phil Bernstein, provides that strategy. Divided into three key sections – Process, Relationships and Results – Machine Learning lays out an approach for anticipating, understanding and managing a world in which computers often augment, but may well also supplant, knowledge workers like architects. Armed with this insight, practices can take full advantage of the new technologies to future-proof their business. Features chapters on: Professionalism Tools and technologies Laws, policy and risk Delivery, means and methods Creating, consuming and curating data Value propositions and business models.

Machine Hallucinations

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119748844
Total Pages : 147 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Hallucinations by : Matias del Campo

Download or read book Machine Hallucinations written by Matias del Campo and published by John Wiley & Sons. This book was released on 2022-07-13 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI is already part of our lives even though we might not realise it. It is in our phones, filtering spam, identifying Facebook friends, and classifying our images on Instagram. It is in our homes in the form of Siri, Alexa and other AI assistants. It is in our cars and our planes. AI is literally everywhere. Artworks generated by AI have won international prizes, and have been sold at auction. But what does AI mean for the world of design? This issue of AD explores the nature of AI, and considers its potential for architecture. But this is no idle speculation. Architects have already started using AI for architectural design and fabrication. Yet – astonishingly – there has been almost no debate about AI within the discipline of architecture so far. Surely, nothing can be more important for the profession of architecture right now. The issue looks at all aspects of AI: its potential to assist architects in designing buildings so that it becomes a form of ‘augmented intelligence’; its capacity to design buildings on its own; and whether AI might open up an extraordinary new chapter in architectural design. Contributors: Refik Anadol; Daniel Bolojan; Alexa Carlson; Sofia Crespo and Feileacan McCormick; Gabriel Esquivel, Jean Jaminet and Shane Bugni; Behnaz Farahi; Theodoros Galanos and Angelos Chronis; Eduard Haiman; Wanyu He; Damjan Jovanovic and Lidija Kljakovic; Immanuel Koh; Maria Kuptsova; Sandra Manninger; Lev Manovich; Achim Menges and Thomas Wortmann; Wolf dPrix, Karolin Schmidbaur and Efilena Baseta; M Casey Rehm; and Hao Zheng and Masoud Akbarzadeh. Featured architects: Alisa Andrasek, Coop Himmelb(l)au, Lifeforms.io, Nonstandardstudio,SPAN, Kyle Steinfeld, Studio Kinch and Xkool Technology.

Neural Architecture

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Author :
Publisher : Applied Research & Design
ISBN 13 : 9781951541682
Total Pages : 250 pages
Book Rating : 4.5/5 (416 download)

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Book Synopsis Neural Architecture by : Matias del Campo

Download or read book Neural Architecture written by Matias del Campo and published by Applied Research & Design. This book was released on 2022-03-14 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the interdisciplinary project that brings the long tradition of humanistic inquiry in architecture together with cutting-edge research in artificial intelligence. The main goal of Neural Architecture is to understand how to interrogate artificial intelligence - a technological tool - in the field of architectural design, traditionally a practice that combines humanities and visual arts. Matias del Campo, the author of Neural Architecture is currently exploring specific applications of artificial intelligence in contemporary architecture, focusing on their relationship to material and symbolic culture. AI has experienced an explosive growth in recent years in a range of fields including architecture but its implications for the humanistic values that distinguish architecture from technology have yet to be measured. The book illustrates in a series of projects a set of crucial questions for the development of architecture in the future. An opportunity to survey the emerging field of Architecture and Artificial Intelligence, and to reflect on the implications of a world increasingly entangled in questions of the agency, culture and ethics of AI.

Architectural Intelligence

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Author :
Publisher : Springer Nature
ISBN 13 : 9811565686
Total Pages : 324 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Architectural Intelligence by : Philip F. Yuan

Download or read book Architectural Intelligence written by Philip F. Yuan and published by Springer Nature. This book was released on 2020-09-03 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected papers from The 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019). Focusing on novel architecture theories, tools, methods, and procedures for digital design and construction in architecture, it promotes dialogs between architecture, engineer, computer science, robotics, and other relevant disciplines to establish a new way of production in the building industry in the digital age. The contents make valuable contributions to academic researchers and engineers in the industry. At the same time, it offers readers new ideas for the application of digital technology.

Learning Deep Architectures for AI

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Author :
Publisher : Now Publishers Inc
ISBN 13 : 1601982941
Total Pages : 145 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Learning Deep Architectures for AI by : Yoshua Bengio

Download or read book Learning Deep Architectures for AI written by Yoshua Bengio and published by Now Publishers Inc. This book was released on 2009 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theoretical results suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in vision, language, and other AI-level tasks), one may need deep architectures. Deep architectures are composed of multiple levels of non-linear operations, such as in neural nets with many hidden layers or in complicated propositional formulae re-using many sub-formulae. Searching the parameter space of deep architectures is a difficult task, but learning algorithms such as those for Deep Belief Networks have recently been proposed to tackle this problem with notable success, beating the state-of-the-art in certain areas. This paper discusses the motivations and principles regarding learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer models such as Restricted Boltzmann Machines, used to construct deeper models such as Deep Belief Networks.

Big Data, Big Design

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Author :
Publisher : Chronicle Books
ISBN 13 : 1648960782
Total Pages : 177 pages
Book Rating : 4.6/5 (489 download)

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Book Synopsis Big Data, Big Design by : Helen Armstrong

Download or read book Big Data, Big Design written by Helen Armstrong and published by Chronicle Books. This book was released on 2021-11-04 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design. Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design principles and cultural context at the heart of AI and ML through real-life case studies and examples. This portable, accessible guide will give beginners and more advanced AI and ML users the confidence to make reasoned, thoughtful decisions when implementing ML design solutions.

The Second Digital Turn

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Author :
Publisher : MIT Press
ISBN 13 : 0262341255
Total Pages : 236 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis The Second Digital Turn by : Mario Carpo

Download or read book The Second Digital Turn written by Mario Carpo and published by MIT Press. This book was released on 2017-10-20 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first digital turn in architecture changed our ways of making; the second changes our ways of thinking. Almost a generation ago, the early software for computer aided design and manufacturing (CAD/CAM) spawned a style of smooth and curving lines and surfaces that gave visible form to the first digital age, and left an indelible mark on contemporary architecture. But today's digitally intelligent architecture no longer looks that way. In The Second Digital Turn, Mario Carpo explains that this is because the design professions are now coming to terms with a new kind of digital tools they have adopted—no longer tools for making but tools for thinking. In the early 1990s the design professions were the first to intuit and interpret the new technical logic of the digital age: digital mass-customization (the use of digital tools to mass-produce variations at no extra cost) has already changed the way we produce and consume almost everything, and the same technology applied to commerce at large is now heralding a new society without scale—a flat marginal cost society where bigger markets will not make anything cheaper. But today, the unprecedented power of computation also favors a new kind of science where prediction can be based on sheer information retrieval, and form finding by simulation and optimization can replace deduction from mathematical formulas. Designers have been toying with machine thinking and machine learning for some time, and the apparently unfathomable complexity of the physical shapes they are now creating already expresses a new form of artificial intelligence, outside the tradition of modern science and alien to the organic logic of our mind.

Cognitive Design for Artificial Minds

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Author :
Publisher : Routledge
ISBN 13 : 1315460513
Total Pages : 133 pages
Book Rating : 4.3/5 (154 download)

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Book Synopsis Cognitive Design for Artificial Minds by : Antonio Lieto

Download or read book Cognitive Design for Artificial Minds written by Antonio Lieto and published by Routledge. This book was released on 2021-03-31 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental, and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. Beginning with an overview of the historical, methodological, and technical issues in the field of cognitively inspired artificial intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realize biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biological and cognitive accuracy of artificial systems in order to project and predict their explanatory power with respect to the natural systems taken as a source of inspiration. Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science.

Artificial Minds

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Author :
Publisher : MIT Press
ISBN 13 : 9780262561099
Total Pages : 468 pages
Book Rating : 4.5/5 (61 download)

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Book Synopsis Artificial Minds by : Stan Franklin

Download or read book Artificial Minds written by Stan Franklin and published by MIT Press. This book was released on 1997 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stan Franklin is the perfect tour guide through the contemporary interdisciplinary matrix of artificial intelligence, cognitive science, cognitive neuroscience, artificial neural networks, artificial life, and robotics that is producing a new paradigm of mind. Along the way, Franklin makes the case for a perspective that rejects a rigid distinction between mind and non-mind in favor of a continuum from less to more mind.

The Cambridge Handbook of Artificial Intelligence

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Author :
Publisher : Cambridge University Press
ISBN 13 : 0521871425
Total Pages : 367 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis The Cambridge Handbook of Artificial Intelligence by : Keith Frankish

Download or read book The Cambridge Handbook of Artificial Intelligence written by Keith Frankish and published by Cambridge University Press. This book was released on 2014-06-12 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists.