Data Structures And Ai
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The Handbook Of Artificial Intelligence
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Author : Avron Barr
language : en
Publisher: Butterworth-Heinemann
Release Date : 2014-05-12
The Handbook Of Artificial Intelligence written by Avron Barr and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Mathematics categories.
The Handbook of Artificial Intelligence, Volume II focuses on the improvements in artificial intelligence (AI) and its increasing applications, including programming languages, intelligent CAI systems, and the employment of AI in medicine, science, and education. The book first elaborates on programming languages for AI research and applications-oriented AI research. Discussions cover scientific applications, teiresias, applications in chemistry, dependencies and assumptions, AI programming-language features, and LISP. The manuscript then examines applications-oriented AI research in medicine and education, including ICAI systems design, intelligent CAI systems, medical systems, and other applications of AI to education. The manuscript explores automatic programming, as well as the methods of program specification, basic approaches, and automatic programming systems. The book is a valuable source of data for computer science experts and researchers interested in conducting further research in artificial intelligence.
A Textbook Of Data Structures And Algorithms Volume 3
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Author : G. A. Vijayalakshmi Pai
language : en
Publisher: John Wiley & Sons
Release Date : 2023-01-25
A Textbook Of Data Structures And Algorithms Volume 3 written by G. A. Vijayalakshmi Pai and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-25 with Computers categories.
Data structures and algorithms is a fundamental course in Computer Science, which enables learners across any discipline to develop the much-needed foundation of efficient programming, leading to better problem solving in their respective disciplines. A Textbook of Data Structures and Algorithms is a textbook that can be used as course material in classrooms, or as self-learning material. The book targets novice learners aspiring to acquire advanced knowledge of the topic. Therefore, the content of the book has been pragmatically structured across three volumes and kept comprehensive enough to help them in their progression from novice to expert. With this in mind, the book details concepts, techniques and applications pertaining to data structures and algorithms, independent of any programming language. It includes 181 illustrative problems and 276 review questions to reinforce a theoretical understanding and presents a suggestive list of 108 programming assignments to aid in the implementation of the methods covered.
Data Structures And Ai
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Author : Jake Brown
language : en
Publisher: Independently Published
Release Date : 2023-11-13
Data Structures And Ai written by Jake Brown and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-13 with categories.
In the ever-evolving landscape of computer science, data structures and artificial intelligence (AI) stand as the cornerstones of efficient and organized information handling and intelligent problem-solving. Whether you're a novice programmer looking to grasp the fundamentals or a seasoned developer seeking to optimize your code while incorporating AI, understanding the interplay of data structures and AI is a pivotal skill. This book delves into the world of data structures and their seamless integration with AI, providing you with a comprehensive guide to mastering them in two of the most influential programming languages: Python and C++. Python's simplicity and readability, coupled with C++'s performance and power, offer a dynamic duo for exploring and implementing data structures in the context of AI-driven projects.
Artificial Intelligence For Games
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Author : Ian Millington
language : en
Publisher: CRC Press
Release Date : 2018-12-14
Artificial Intelligence For Games written by Ian Millington and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-14 with Computers categories.
Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques. "Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). Key Features * The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience. * Walks through the entire development process from beginning to end. * Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.
Advances In Artificial And Human Intelligence In The Modern Era
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Author : Rajest, S. Suman
language : en
Publisher: IGI Global
Release Date : 2023-09-11
Advances In Artificial And Human Intelligence In The Modern Era written by Rajest, S. Suman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-11 with Computers categories.
In the realm of psychological and brain sciences, there is a growing urgency to refine individual performance using personalized interventions that account for unique cognitive and biological attributes. Yet, the quest for such tailored approaches has proven challenging, as conventional methods often fall short. The limited integration of domain expertise and human judgment curtails the potential of artificial intelligence (AI) in effectively optimizing human performance, particularly in areas like customized training, health monitoring, and cognitive enhancement. Bridging the gap between AI capabilities and the specific requirements of individuals becomes crucial in meeting this rising demand. Advances in Artificial and Human Intelligence in the Modern Era present a transformative solution to tackle the prevailing challenges at the intersection of AI and human performance enhancement. This book delves deeply into the latest empirical research, literature reviews, and methodological advancements to introduce precision AI techniques for personalized interventions. By examining how the amalgamation of domain expertise and human insights can enhance AI performance, the book establishes a comprehensive framework for modeling individual distinctions and devising effective, tailored AI approaches. Tailored for academic scholars and researchers in psychological and brain sciences, computer science, and related fields, this book provides a comprehensive exploration of pioneering advancements in the convergence of artificial and human intelligence. Its diverse chapters encompass a wide array of topics, including the identification of mental health concerns, integration of human intelligence into AI tools, enhancement of reliability, and exploration of data standards. As it fuses expertise from these two disciplines, the book paves the way for a new era of personalized interventions with the potential to revolutionize human cognitive enhancement, training, and overall well-being.
Artificial Intelligence Programming
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Author : Eugene Charniak
language : en
Publisher: Psychology Press
Release Date : 1987
Artificial Intelligence Programming written by Eugene Charniak and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
First Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.
Ai 2016 Advances In Artificial Intelligence
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Author : Byeong Ho Kang
language : en
Publisher: Springer
Release Date : 2016-11-25
Ai 2016 Advances In Artificial Intelligence written by Byeong Ho Kang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-25 with Computers categories.
This book constitutes the refereed proceedings of the 29th Australasian Joint Conference on Artificial Intelligence, AI 2016, held in Hobart, TAS, Australia, in December 2016. The 40 full papers and 18 short papers presented together with 8 invited short papers were carefully reviewed and selected from 121 submissions. The papers are organized in topical sections on agents and multiagent systems; AI applications and innovations; big data; constraint satisfaction, search and optimisation; knowledge representation and reasoning; machine learning and data mining; social intelligence; and text mining and NLP. The proceedings also contains 2 contributions of the AI 2016 doctoral consortium and 6 contributions of the SMA 2016.
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.
Generative Ai For Web Engineering Models
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Author : Shah, Imdad Ali
language : en
Publisher: IGI Global
Release Date : 2024-10-22
Generative Ai For Web Engineering Models written by Shah, Imdad Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.
Web engineering faces a pressing challenge in keeping pace with the rapidly evolving digital landscape. Developing, designing, testing, and maintaining web-based systems and applications require innovative approaches to meet the growing demands of users and businesses. Generative Artificial Intelligence (AI) emerges as a transformative solution, offering advanced capabilities to enhance web engineering models and methodologies. This book presents a timely exploration of how Generative AI can revolutionize the web engineering discipline, providing insights into future challenges and societal impacts. Generative AI for Web Engineering Models offers a comprehensive examination of integrating AI-driven generative approaches into web engineering practices. It delves into methodologies, models, and the transformative impact of Generative AI on web-based systems and applications. By addressing topics such as web browser technologies, website scalability, security, and the integration of Machine Learning, this book provides a roadmap for researchers, scientists, postgraduate students, and AI enthusiasts interested in the intersection of AI and web engineering.
Attacks On Artificial Intelligence
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Author : Kukatlapalli Pradeep Kumar
language : en
Publisher: CRC Press
Release Date : 2025-09-23
Attacks On Artificial Intelligence written by Kukatlapalli Pradeep Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-23 with Computers categories.
Cyber attacks, both on national infrastructures and private companies, have ramped up exponentially in recent years. AI tools and algorithms can help detect and fend off cyber threats, but they can also be used by hackers in their cyber attacks. Defensive measures to address cyber attacks are not sufficient for artificial intelligence-based architectures, which present a new range of challenges. This new volume takes these concerns into consideration and examines recent developments and issues in attacks that target AI based systems and cyber infrastructures while also presenting research on using AI technologies to prevent attacks.