Knowing Our World An Artificial Intelligence Perspective
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Knowing Our World An Artificial Intelligence Perspective
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Author : George F. Luger
language : en
Publisher:
Release Date : 2021
Knowing Our World An Artificial Intelligence Perspective written by George F. Luger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Knowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world. While humankind's history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals. Based on insights afforded by the challenges of AI design and program building, Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations. .
Knowing Our World An Artificial Intelligence Perspective
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Author : George F. Luger
language : en
Publisher: Springer Nature
Release Date : 2021-07-02
Knowing Our World An Artificial Intelligence Perspective written by George F. Luger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-02 with Computers categories.
Knowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world. While humankind’s history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals. Based on insights afforded by the challenges of AI design and program building, Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations. This monograph is organized in three Parts; the first three chapters introduce the reader to the foundations of computing and the philosophical background that supports the AI tradition. These three chapters describe the origins of AI, programming as iterative refinement, and the representations and very high-level language tools that support AI application building. The book’s second Part introduces three of the four paradigms that represent research and development in AI over the past seventy years: the symbol-based, connectionist, and complex adaptive systems. Luger presents several introductory programs in each area and demonstrates their use. The final three chapters present the primary theme of the book: bringing together the rationalist, empiricist, and pragmatist philosophical traditions in the context of a Bayesian world view. Luger describes Bayes' theorem with a simple proof to demonstrate epistemic insights. He describes research in model building and refinement and several philosophical issues that constrain the future growth of AI. The book concludes with his proposal of the epistemic stance of an active, pragmatic, model-revising realism.
Artificial Intelligence Principles And Practice
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Author : George F. Luger
language : en
Publisher: Springer Nature
Release Date : 2024-12-02
Artificial Intelligence Principles And Practice written by George F. Luger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Computers categories.
This book provides a complete introduction to Artificial Intelligence, covering foundational computational technologies, mathematical principles, philosophical considerations, and engineering disciplines essential for understanding AI. Artificial Intelligence: Principles and Practice emphasizes the interdisciplinary nature of AI, integrating insights from psychology, mathematics, neuroscience, and more. The book addresses limitations, ethical issues, and the future promise of AI, emphasizing the importance of ethical considerations in integrating AI into modern society. With a modular design, it offers flexibility for instructors and students to focus on specific components of AI, while also providing a holistic view of the field. Taking a comprehensive but concise perspective on the major elements of the field; from historical background to design practices, ethical issues and more, Artificial Intelligence: Principles and Practice provides the foundations needed for undergraduate or graduate-level courses. The important design paradigms and approaches to AI are explained in a clear, easy-to-understand manner so that readers will be able to master the algorithms, processes, and methods described. The principal intellectual and ethical foundations for creating artificially intelligent artifacts are presented in Parts I and VIII. Part I offers the philosophical, mathematical, and engineering basis for our current AI practice. Part VIII presents ethical concerns for the development and use of AI. Part VIII also discusses fundamental limiting factors in the development of AI technology as well as hints at AI's promising future. We recommended that PART I be used to introduce the AI discipline and that Part VIII be discussed after the AI practice materials. Parts II through VII present the three main paradigms of current AI practice: the symbol-based, the neural network or connectionist, and the probabilistic. Generous use of examples throughout helps illustrate the concepts, and separate end-of-chapter exercises are included. Teaching resources include a solutions manual for the exercises, PowerPoint presentation, and implementations for the algorithms in the book.
Artificial Intelligence And Biological Sciences
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Author : P.V. Mohanan
language : en
Publisher: CRC Press
Release Date : 2025-06-17
Artificial Intelligence And Biological Sciences written by P.V. Mohanan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.
Advancements of AI in medical and biological sciences have opened new ways for drug development. Novel therapeutic molecules and their target action can be easily predicted and can be modified. AI helps in disease detection and diagnosis faster. The breakthrough of AI is made especially in the area of personalized precision medicine, host-pathogen interaction and predictive epidemiology. These approaches could help in faster decision-making with minimal errors that can improve risk analysis, especially disease diagnosis and selecting treatment strategy. In agricultural practices, an exact combination of fertilizers, pesticides, herbicides, soil management, water requirement analysis, yield prediction and overall crop management can be modified by implementing AI interventions. AI could provide a better improvement in agriculture, medical research, pharmaceuticals and bio-based industries for a sustainable life. The key features of this book are: AI in medical Sciences, biotechnology and drug discovery; Application of AI in Digital Pathology, cytology and bioinformatics; Overview of AI, Machine Learning and Deep Learning; Impact of Artificial Intelligence in Society; Artificial Intelligence in Pharmacovigilance; and Ethics in Artificial Intelligence. The volume aims to comprehensively cover the application of AI in biological sciences. It is a collection of contributions from different authors who have several years of experience in their specific areas. The book will be useful for pharma companies, CROs, product developers, students, researchers, academicians, policymakers and practitioners.
The Confluence Of Cryptography Blockchain And Artificial Intelligence
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Author : Ankita Sharma
language : en
Publisher: CRC Press
Release Date : 2025-05-26
The Confluence Of Cryptography Blockchain And Artificial Intelligence written by Ankita Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Computers categories.
With blockchain underpinning cryptocurrencies and improving IoT security, this book uncovers the evolution of blockchain (1.0 to 4.0) and its applications. It also introduces AI, discussing its development, paradigms, and industry-wide impact. The book explores the integration of cryptography, blockchain, and artificial intelligence (AI) in areas such as big data, bioinformatics, IoT, 5G, and Industry 4.0. It highlights how these technologies drive the digital revolution, enabling multi-agent systems, autonomous models, and enhanced security.
Artificial Intelligence For A Better Future
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Author : Bernd Carsten Stahl
language : en
Publisher: Springer Nature
Release Date : 2021-03-17
Artificial Intelligence For A Better Future written by Bernd Carsten Stahl and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Computers categories.
This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
Impact And Potential Of Machine Learning In The Metaverse
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Author : Mehta, Shilpa
language : en
Publisher: IGI Global
Release Date : 2024-08-09
Impact And Potential Of Machine Learning In The Metaverse written by Mehta, Shilpa and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Computers categories.
In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience. Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.
Exploring Youth Studies In The Age Of Ai
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Author : Zaremohzzabieh, Zeinab
language : en
Publisher: IGI Global
Release Date : 2024-07-24
Exploring Youth Studies In The Age Of Ai written by Zaremohzzabieh, Zeinab and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Computers categories.
In an era defined by the relentless march of technology, the seamless integration of Artificial Intelligence (AI) into our daily lives has ushered in a transformative landscape. At the forefront of this evolution are the Digital Natives of Generation AI, navigating the complexities of a digital world where algorithms are integral to their daily experiences. This juncture presents a dual influence, marked by the continuous progression of technological advancements and the dynamic ways the youngest members of our society engage with and adapt to the digital environment. As we stand at the crossroads of youth studies and AI, there arises a pressing need to comprehend the profound impact of this convergence on the future leaders of our world. Addressing this imperative, Exploring Youth Studies in the Age of AI emerges as a comprehensive solution to unravel the complexities and opportunities within this evolving landscape. This book, meticulously crafted for academics, researchers, educators, policymakers, and technology ethicists, serves as a guiding beacon in understanding how AI shapes the experiences of today's youth and, in turn, how youth culture influences the development and application of AI technologies. With a collection of enlightening chapters covering topics from "Data-Driven Pedagogies" to "Ethical AI: Guiding Principles for Youth-Centric Development," the book delves deep into the diverse dimensions of this intersection, providing actionable insights and fostering a nuanced understanding for those invested in the ethical, social, and educational implications of AI within the context of youth.
Generative Ai In Higher Education Guiding Principles For Teaching And Learning
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Author : Emmanuel K Nartey
language : en
Publisher: CRC Press
Release Date : 2025-02-27
Generative Ai In Higher Education Guiding Principles For Teaching And Learning written by Emmanuel K Nartey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.
Divided into two volumes, this book develops guiding principles for higher education institutions to use GenAI effectively and ethically in teaching and learning, articulating a roadmap for implementation at institutional levels and addressing the conundrum of using GenAI in higher education. As higher education institutions take different attitudes and approaches to Generative AI (GenAI), with some viewing it as a threat to academic integrity and therefore banning its use, while others have embraced it as an innovation to academic practice and have implemented guidance on how to use it ethically, this book makes clear that GenAI, such as ChatGPT, is not the problem itself; the issue is how we engage with it.
Bioinformatics Tools And Big Data Analytics For Patient Care
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Author : Rishabha Malviya
language : en
Publisher: CRC Press
Release Date : 2022-08-31
Bioinformatics Tools And Big Data Analytics For Patient Care written by Rishabha Malviya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-31 with Computers categories.
Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks. Features: Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care. Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery. Summarizes several strategies, analyses, and optimization methods for patient healthcare. Focuses on drug discovery and development by cloud computing and data-driven research The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.