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Designing Autonomous Ai
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Book Synopsis Designing Autonomous AI by : Kence Anderson
Download or read book Designing Autonomous AI written by Kence Anderson and published by "O'Reilly Media, Inc.". This book was released on 2022-06-14 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Designing Autonomous AI by : Kence Anderson
Download or read book Designing Autonomous AI written by Kence Anderson and published by O'Reilly Media. This book was released on 2022-07-19 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Designing Autonomous Agents by : Pattie Maes
Download or read book Designing Autonomous Agents written by Pattie Maes and published by MIT Press. This book was released on 1990 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Designing Autonomous AI by : Kence Anderson
Download or read book Designing Autonomous AI written by Kence Anderson and published by "O'Reilly Media, Inc.". This book was released on 2022-06-22 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Designing Agentive Technology by : Christopher Noessel
Download or read book Designing Agentive Technology written by Christopher Noessel and published by Rosenfeld Media. This book was released on 2017-05-01 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in narrow artificial intelligence make possible agentive systems that do things directly for their users (like, say, an automatic pet feeder). They deliver on the promise of user-centered design, but present fresh challenges in understanding their unique promises and pitfalls. Designing Agentive Technology provides both a conceptual grounding and practical advice to unlock agentive technology’s massive potential.
Book Synopsis Human-Centered AI by : Ben Shneiderman
Download or read book Human-Centered AI written by Ben Shneiderman and published by Oxford University Press. This book was released on 2022 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.
Book Synopsis Designing Mobile Autonomous Robots by : John M. Holland
Download or read book Designing Mobile Autonomous Robots written by John M. Holland and published by . This book was released on 2004 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Artificial Life Route to Artificial Intelligence by : Luc Steels
Download or read book The Artificial Life Route to Artificial Intelligence written by Luc Steels and published by Routledge. This book was released on 2018-05-15 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Autonomous Assembly by : Skylar Tibbits
Download or read book Autonomous Assembly written by Skylar Tibbits and published by John Wiley & Sons. This book was released on 2017-11-20 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are now on the brink of a new era in construction – that of autonomous assembly. For some time, the widespread adoption of robotic and digital fabrication technologies has made it possible for architects and academic researchers to design non-standard, highly customised structures. These technologies have largely been limited by scalability, focusing mainly on top-down, bespoke fabrication projects, such as experimental pavilions and structures. Autonomous assembly and bottom-up construction techniques hold the promise of greater scalability, adaptability and potentially evolved design possibilities. By capitalising on the advances made in swarm robotics, the collective construction of the animal/insect kingdom, and advances in physical computational, programmable materials or self-assembly, architects and designers are now able to build from the bottom up. This issue presents future scenarios of autonomous assembly by highlighting the viability of decentralised, collective assembly systems, demonstrating the potential to deliver reconfigurable and adaptive solutions. Contributors include: Marcelo Coelho, Andong Liu, Robin Meier, Kieran Murphy and Heinrich Jaeger, Radhika Nagpal and Kirstin Petersen, and Zorana Zeravcic. Featured architects: Aranda\Lasch, Arup, Philippe Block, Gramazio Kohler Architects, Ibañez Kim, Achim Menges, Caitlin Mueller, Jose Sanchez, Athina Papadopoulou and Jared Laucks, and Skylar Tibbits.
Book Synopsis Intelligent Autonomous Drones with Cognitive Deep Learning by : David Allen Blubaugh
Download or read book Intelligent Autonomous Drones with Cognitive Deep Learning written by David Allen Blubaugh and published by Apress. This book was released on 2022-11-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is an artificial intelligence (AI)-enabled drone and what can it do? Are AI-enabled drones better than human-controlled drones? This book will answer these questions and more, and empower you to develop your own AI-enabled drone. You'll progress from a list of specifications and requirements, in small and iterative steps, which will then lead to the development of Unified Modeling Language (UML) diagrams based in part to the standards established by for the Robotic Operating System (ROS). The ROS architecture has been used to develop land-based drones. This will serve as a reference model for the software architecture of unmanned systems. Using this approach you'll be able to develop a fully autonomous drone that incorporates object-oriented design and cognitive deep learning systems that adapts to multiple simulation environments. These multiple simulation environments will also allow you to further build public trust in the safety of artificial intelligence within drones and small UAS. Ultimately, you'll be able to build a complex system using the standards developed, and create other intelligent systems of similar complexity and capability. Intelligent Autonomous Drones with Cognitive Deep Learning uniquely addresses both deep learning and cognitive deep learning for developing near autonomous drones. What You’ll Learn Examine the necessary specifications and requirements for AI enabled drones for near-real time and near fully autonomous drones Look at software and hardware requirements Understand unified modeling language (UML) and real-time UML for design Study deep learning neural networks for pattern recognition Review geo-spatial Information for the development of detailed mission planning within these hostile environments Who This Book Is For Primarily for engineers, computer science graduate students, or even a skilled hobbyist. The target readers have the willingness to learn and extend the topic of intelligent autonomous drones. They should have a willingness to explore exciting engineering projects that are limited only by their imagination. As far as the technical requirements are concerned, they must have an intermediate understanding of object-oriented programming and design.
Book Synopsis Value Sensitive Design by : Batya Friedman
Download or read book Value Sensitive Design written by Batya Friedman and published by MIT Press. This book was released on 2019-05-21 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using our moral and technical imaginations to create responsible innovations: theory, method, and applications for value sensitive design. Implantable medical devices and human dignity. Private and secure access to information. Engineering projects that transform the Earth. Multigenerational information systems for international justice. How should designers, engineers, architects, policy makers, and others design such technology? Who should be involved and what values are implicated? In Value Sensitive Design, Batya Friedman and David Hendry describe how both moral and technical imagination can be brought to bear on the design of technology. With value sensitive design, under development for more than two decades, Friedman and Hendry bring together theory, methods, and applications for a design process that engages human values at every stage. After presenting the theoretical foundations of value sensitive design, which lead to a deep rethinking of technical design, Friedman and Hendry explain seventeen methods, including stakeholder analysis, value scenarios, and multilifespan timelines. Following this, experts from ten application domains report on value sensitive design practice. Finally, Friedman and Hendry explore such open questions as the need for deeper investigation of indirect stakeholders and further method development. This definitive account of the state of the art in value sensitive design is an essential resource for designers and researchers working in academia and industry, students in design and computer science, and anyone working at the intersection of technology and society.
Book Synopsis Design Justice by : Sasha Costanza-Chock
Download or read book Design Justice written by Sasha Costanza-Chock and published by MIT Press. This book was released on 2020-03-03 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exploration of how design might be led by marginalized communities, dismantle structural inequality, and advance collective liberation and ecological survival. What is the relationship between design, power, and social justice? “Design justice” is an approach to design that is led by marginalized communities and that aims expilcitly to challenge, rather than reproduce, structural inequalities. It has emerged from a growing community of designers in various fields who work closely with social movements and community-based organizations around the world. This book explores the theory and practice of design justice, demonstrates how universalist design principles and practices erase certain groups of people—specifically, those who are intersectionally disadvantaged or multiply burdened under the matrix of domination (white supremacist heteropatriarchy, ableism, capitalism, and settler colonialism)—and invites readers to “build a better world, a world where many worlds fit; linked worlds of collective liberation and ecological sustainability.” Along the way, the book documents a multitude of real-world community-led design practices, each grounded in a particular social movement. Design Justice goes beyond recent calls for design for good, user-centered design, and employment diversity in the technology and design professions; it connects design to larger struggles for collective liberation and ecological survival.
Download or read book Designing Autonomous Agents written by and published by . This book was released on 1990 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intelligent Autonomous Systems by : Dilip Kumar Pratihar
Download or read book Intelligent Autonomous Systems written by Dilip Kumar Pratihar and published by Springer Science & Business Media. This book was released on 2010-02-24 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research book contains a sample of most recent research in the area of intelligent autonomous systems. The contributions include: General aspects of intelligent autonomous systems Design of intelligent autonomous robots Biped robots Robot for stair-case navigation Ensemble learning for multi-source information fusion Intelligent autonomous systems in psychiatry Condition monitoring of internal combustion engine Security management of an enterprise network High dimensional neural nets and applications This book is directed to engineers, scientists, professor and the undergraduate/postgraduate students who wish to explore this field further.
Book Synopsis Autonomous Mobile Robots in Unknown Outdoor Environments by : Xiaorui Zhu
Download or read book Autonomous Mobile Robots in Unknown Outdoor Environments written by Xiaorui Zhu and published by CRC Press. This book was released on 2017-12-15 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile robots have been increasingly applied in many different scenarios, such as space exploration and search and rescue, where the robots are required to travel over uneven terrain while outdoors. This book provides a new framework and the related algorithms for designing autonomous mobile robotic systems in such unknown outdoor environments.
Book Synopsis Designing and Building AI Products and Services by : Cybellium Ltd
Download or read book Designing and Building AI Products and Services written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-05 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era defined by technological innovation, artificial intelligence (AI) has emerged as a transformative force shaping industries across the globe. "Designing and Building AI Products and Services" is an authoritative guide that navigates readers through the intricate process of creating AI-powered solutions, empowering them to craft products and services that are not only cutting-edge but also deeply impactful. About the Book: This comprehensive volume, penned by seasoned experts in AI and product design, provides a roadmap for conceiving, developing, and launching AI-infused products and services. From ideation to execution, "Designing and Building AI Products and Services" delivers a step-by-step framework that demystifies the complexities of AI integration, enabling readers to harness its potential with confidence. Key Features: Foundations of AI Integration: The book commences by establishing a strong foundation in AI fundamentals. Readers will grasp the core concepts, terminologies, and methodologies crucial for successfully integrating AI into products and services. Human-Centric Design: Emphasizing user-centricity, the book explores design thinking and user experience principles tailored for AI solutions. Readers will learn how to create intuitive, seamless experiences that resonate with end-users. From Concept to Prototype: Guiding readers through the iterative design process, the book details how to transform initial concepts into tangible prototypes, refining ideas and validating assumptions along the way. AI Techniques and Algorithms: Readers are introduced to an array of AI techniques, from machine learning and natural language processing to computer vision and recommendation systems. The book elucidates when and how to apply these techniques effectively. Data Collection and Ethics: Addressing a critical aspect of AI development, the book delves into responsible data collection, privacy considerations, and ethical concerns that must be integrated into the product design process. Scalability and Deployment: The book covers strategies for scaling AI solutions and navigating challenges associated with deployment. Readers will learn how to manage infrastructure, ensure performance, and adapt to evolving user needs. Case Studies and Real-World Examples: Featuring real-world case studies, readers gain insights into successful AI product launches across diverse industries, illuminating best practices and lessons learned. Who Should Read This Book: "Designing and Building AI Products and Services" caters to a wide audience, including product managers, designers, developers, business leaders, and entrepreneurs seeking to capitalize on the AI revolution. Whether you're a novice eager to explore AI's potential or an industry veteran looking to integrate AI into existing offerings, this book equips you with the knowledge and strategies needed to navigate the evolving landscape of AI product design. About the Authors: The authors of "Designing and Building AI Products and Services" are distinguished thought leaders in AI and product design, bringing a wealth of expertise to the table. With a proven track record of AI innovation, research, and successful product launches, they share their insights and experiences to empower readers to create AI-powered solutions that resonate in the market.
Book Synopsis Artificial Intelligence for Robotics by : Francis X. Govers
Download or read book Artificial Intelligence for Robotics written by Francis X. Govers and published by Packt Publishing Ltd. This book was released on 2018-08-30 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book DescriptionArtificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot’s intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.
