Designing Autonomous Ai

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Designing Autonomous Ai
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Author : Kence Anderson
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-14
Designing Autonomous Ai written by Kence Anderson and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-14 with Computers categories.
Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
Designing Autonomous Ai
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Author : Kence Anderson
language : en
Publisher: O'Reilly Media
Release Date : 2022-07-19
Designing Autonomous Ai written by Kence Anderson and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-19 with Computers categories.
Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
Designing Autonomous Agents
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Author : Pattie Maes
language : en
Publisher: MIT Press
Release Date : 1990
Designing Autonomous Agents written by Pattie Maes and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
Designing Autonomous Agents provides a summary and overview of the radically different architectures that have been developed over the past few years for organizing robots. These architectures have led to major breakthroughs that promise to revolutionize the study of autonomous agents and perhaps artificial intelligence in general. The new architectures emphasize more direct coupling of sensing to action, distributedness and decentralization, dynamic interaction with the environment, and intrinsic mechanisms to cope with limited resources and incomplete knowledge. The research discussed here encompasses such important ideas as emergent functionality, task-level decomposition, and reasoning methods such as analogical representations and visual operations that make the task of perception more realistic. Contents A Biological Perspective on Autonomous Agent Design, Randall D. Beer, Hillel J. Chiel, Leon S. Sterling * Elephants Don't Play Chess, Rodney A. Brooks * What Are Plans For? Philip E. Agre and David Chapman * Action and Planning in Embedded Agents, Leslie Pack Kaelbling and Stanley J. Rosenschein * Situated Agents Can Have Goals, Pattie Maes * Exploiting Analogical Representations, Luc Steels * Internalized Plans: A Representation for Action Resources, David W. Payton * Integrating Behavioral, Perceptual, and World Knowledge in Reactive Navigation, Ronald C. Arkin * Symbol Grounding via a Hybrid Architecture in an Autonomous Assembly System, Chris Malcolm and Tim Smithers * Animal Behavior as a Paradigm for Developing Robot Autonomy, Tracy L. Anderson and Max Donath
Ai Material Design
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Author : Kai Turing
language : en
Publisher: Publifye AS
Release Date : 2025-03-04
Ai Material Design written by Kai Turing and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-04 with Technology & Engineering categories.
""AI Material Design"" explores how artificial intelligence is revolutionizing materials science, speeding up the discovery of materials with specific properties. One intriguing aspect is using AI to predict material properties like strength or conductivity, potentially cutting down on traditional trial-and-error methods. The book also highlights AI's role in optimizing material synthesis and processing, leading to efficient production of high-quality materials. The book uniquely positions AI as more than just a tool; instead, it demonstrates how AI is essential for designing and discovering materials with unprecedented functionalities. Beginning with machine learning principles, the approach progresses to detailing how AI algorithms predict material properties and optimize synthesis techniques. Real-world case studies illustrate the effectiveness of AI in overcoming materials design challenges, making it valuable for researchers and industry professionals alike.
Artificial Intelligence In Design 96
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Author : John S. Gero
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Artificial Intelligence In Design 96 written by John S. Gero and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Change is one of the most significant parameters in our society. Designers are amongst the primary change agents for any society. As a consequence design is an important research topic in engineering and architecture and related disciplines, since design is not only a means of change but is also one of the keystones to economic competitiveness and the fundamental precursor to manufacturing. The development of computational models founded on the artificial intelligence paradigm has provided an impetus for much of current design research -both computational and cognitive. These forms of design research have only been carried out in the last decade or so and in the temporal sense they are still immature. Notwithstanding this immaturity, noticeable advances have been made both in extending our understanding of design and in developing tools based on that understanding. Whilst many researchers in the field of artificial intelligence in design utilise ideas about how humans design as one source of concepts there is normally no attempt to model human designers. Rather the results of the research presented in this volume demonstrate approaches to increasing our understanding of design as a process.
The Design Of Human Centered Artificial Intelligence For The Workplace
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Author : Constantinos K. Coursaris
language : en
Publisher: Springer Nature
Release Date : 2025-08-02
The Design Of Human Centered Artificial Intelligence For The Workplace written by Constantinos K. Coursaris and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Business & Economics categories.
Rapid advances in artificial intelligence (AI) are manifesting in increasingly sophisticated technologies and systems contributing to the digital transformation of organizations. These technological innovations involve the use of automation agents adding value through increased efficiency, effectiveness, service quality, and other performance-related dimensions. Motivated by the possibilities afforded by AI in organizational contexts of use, as well as by the challenges associated with AI, this book provides a comprehensive view of the considerations involved in designing AI-enabled systems, their application in the workplace, and the corresponding user experience. To this end, the book presents conceptual and empirical scientific perspectives on the design of human-centered AI, as well as case studies from multiple industries ranging from aerospace and automotive to retail, finance, and healthcare. These perspectives and evidence enable readers to consider and plan their own use cases for human-centered AI in the workplace. The book will be of interest to researchers and practitioners alike involved in the governance, design, development, implementation, and maintenance of human-AI-driven systems.
The Artificial Life Route To Artificial Intelligence
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Author : Luc Steels
language : en
Publisher: Routledge
Release Date : 2018-05-15
The Artificial Life Route To Artificial Intelligence written by Luc Steels and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-15 with Psychology categories.
Originally published in 1995, this volume is the direct result of a conference in which a number of leading researchers from the fields of artificial intelligence and biology gathered to examine whether there was any ground to assume that a new AI paradigm was forming itself and what the essential ingredients of this new paradigm were. A great deal of scepsis is justified when researchers, particularly in the cognitive sciences, talk about a new paradigm. Shifts in paradigm mean not only new ideas but also shifts in what constitutes good problems, what counts as a result, the experimental practice to validate results, and the technological tools needed to do research. Due to the complexity of the subject matter, paradigms abound in the cognitive sciences -- connectionism being the most prominent newcomer in the mid-1980s. This workshop group was brought together in order to clarify the common ground, see what had been achieved so far, and examine in which way the research could move further. This volume is a reflection of this important meeting. It contains contributions which were distributed before the workshop but then substantially broadened and revised to reflect the workshop discussions and more recent technical work. Written in polemic form, sometimes criticizing the work done thus far within the new paradigm, this collection includes research program descriptions, technical contributions, and position papers.
Artificial Intelligence In Ophthalmology
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Author : Andrzej Grzybowski
language : en
Publisher: Springer Nature
Release Date : 2021-10-13
Artificial Intelligence In Ophthalmology written by Andrzej Grzybowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-13 with Medical categories.
This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.
Artificial Intelligence
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Author : Kai Turing
language : en
Publisher: Publifye AS
Release Date : 2025-02-18
Artificial Intelligence written by Kai Turing and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Technology & Engineering categories.
""Artificial Intelligence"" offers a broad exploration of AI, from its historical origins to its potential future impacts across various industries. This book navigates the complexities of AI, clarifying the distinctions between AI, machine learning, and deep learning. It examines real-world applications like self-driving cars and AI-driven diagnostics, while also addressing ethical considerations such as algorithmic bias and job displacement. Did you know that AI's roots trace back to theoretical concepts in the mid-20th century, evolving through periods of breakthroughs and stagnation? Or that AI is already optimizing supply chains and personalizing education? The book progresses logically, starting with core AI concepts, then moves to specific industry applications, and concludes with ethical dilemmas and future perspectives. The central argument emphasizes that while AI holds immense potential, its deployment needs careful management to ensure equitable outcomes. The approach is accessible, avoiding excessive jargon and providing concise explanations, making it valuable for students, professionals, and anyone interested in understanding AI's transformative potential in technology and semantics.
Routledge Library Editions Artificial Intelligence
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Author : Various
language : en
Publisher: Routledge
Release Date : 2021-06-23
Routledge Library Editions Artificial Intelligence written by Various and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-23 with Computers categories.
"Artificial Intelligence" (AI) a term coined in the 1950s actually dates back as far as 1943. Now very much in the public consciousness, AI research has fallen in and out of favour over the years. Routledge Library Editions: Artificial Intelligence (10 Volumes) brings together as one set, or individual volumes, a small interdisciplinary series of previously out-of-print titles, originally published between 1970 and 1994. Covering ground in computer science, literature, philosophy, psychology, psychotherapy and sociology, this set is a fascinating insight into the development of ideas surrounding AI.