Описание: Artificial intelligence serves as a catalyst for transformation in the field of education. This shift in the educational paradigm has a profound impact on the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Cultural and Social Implications of Artificial Intelligence in Education addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as ethics, critical thinking, and augmented intelligence and is designed for educators, academicians, administrators, researchers, and professionals.
Автор: Millington, Ian, Funge, John Название: Artificial Intelligence for Games ISBN: 0123747317 ISBN-13(EAN): 9780123747310 Издательство: Taylor&Francis Рейтинг: Цена: 10870.00 р. Наличие на складе: Поставка под заказ.
Описание: 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.<br><br>"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). <br><br>* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.<br>* Walks through the entire development process from beginning to end.<br>* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.
Описание: With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company.
Автор: Radek Silhavy; Roman Senkerik; Zuzana Kominkova Op Название: Artificial Intelligence Perspectives in Intelligent Systems ISBN: 3319336231 ISBN-13(EAN): 9783319336237 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Classification Schema for the Job Shop Scheduling Problem with Transportation Resources: State-Of-The-Art Review.- Narration Framework of Chinese Ancient Fiction Images in the Digital Environment.- Toward Computing Oriented Representation of Sets.- Simplified Version of White Wine Grape Berries Detector Based on SVM and HOG Features.- Automated Product Design and Development Using Evolutionary Ontology.- Energy Conservation Technique on Multiple Radio Incorporated Smart Phones.- Real Time Tasks Scheduling Optimization Using Quantum Inspired Genetic Algorithms.- Fuzzy Energy Aware Real Time Scheduling Targeting Mono-Processor Embedded Architectures.- Total Tardiness Minimization in a Flow Shop With Blocking Using An Iterated Greedy Algorithm.- A Firefly Algorithm to Solve the Manufacturing Cell Design Problem.- Solving the Manufacturing Cell Design Problem Via Invasive Weed Optimization.- VLSI Placement Problem Based on Ant Colony Optimization Algorithm.- Pattern Recognition on the Basis of Boltzmann Machine Model.- Parallel Genetic Algorithm Based on Fuzzy Controller for Design Problems.- To Scheduling Quality of Sets of Precise Form Which Consist of Tasks of Circular And Hyperbolic Type In Grid Systems.- Exploring Performance of Instance Selection Methods in Text Sentiment Classification.- Placement of Vlsi Fragments Based on A Multilayered Approach.- Genetic Algorithm Approach in Optimizing the Energy Intake for Health Purpose.- Formal Verification and Accelerated Inference.- A Hybrid Approach to Automated Music Composition.- Detection of White Grapes in Natural Environment Using Neural Network as A Classifier.- A Concept of Innovative Speech Interfaces With Augmented Reality and Interactive Systems for Controlling Lifting Devices.- Sentiment Analysis of Customer Reviews Using Robust Hierarchical Bidirectional Recurrent Neural Network.- Binary Image Quality Assessment - A Hybrid Approach Based on Binarization Evaluation Methods.- Biogeography-Based Optimization Algorithm for Solving the Set Covering Problem.- Approaches to Tackle the Nesting Problems.- Lozi Map Generated Initial Population in Analytical Programming.- Comparison of Success Rate of Numerical Weather Prediction Models With Forecasting System of Convective Precipitation.- High Speed, Efficient Area, Low Power Novel Modified Booth Encoder Multiplier for Signed-Unsigned Number.- Mining Customer Behavior in Trial Period of a Web Application Usage - Case Study.- In Search of a Semantic Book Search Engine on the Web: Are we there Yet?.- Automated Design and Optimization of Specific Algebras by Genetic Algorithms.- Hybrid Nature-Inspired Algorithm for Symbol Regression Problem.- Albanian Advertising Keyword Generation and Expansion.- A Beam-Search Approach to the Set Covering Problem.- Generating Fuzzy Rules for Constructing Interpretable Classifier of Diabetes Disease In Bangladesh.- A Semantic Annotation Model for Arabic Normative Provisions.- A Touch Sensitive Keypad Layout for Improved Usability of Smartphones for the Blind and Visually Impaired Persons.- A Nature Inspired Intelligent Water Drop Algorithm and its Application for Solving the Set Covering Problem.- Firefly Algorithm to Solve a Project Scheduling Problem.- A Binary Invasive Weed Optimization Algorithm for the Set Covering Problem.- A Simplified Form of Fuzzy Multiset Finite Automata.- Fireworks Explosion can Solve the Set Covering Problem.- A Bi-Objective Cat Swarm Optimization Algorithm for Set Covering Problem.- An Alternative Solution to the Software Project Scheduling Problem.- A Binary Cat for the Set Covering Problem.- Study on the Time Development of Complex Network for Metaheuristic.
Автор: Yong Jin, Dal Название: Artificial intelligence in cultural production ISBN: 0367758458 ISBN-13(EAN): 9780367758455 Издательство: Taylor&Francis Рейтинг: Цена: 5511.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers an in-depth academic discourse on the convergence of AI, digital platforms, and popular culture, in order to understand the ways in which the platform and cultural industries have reshaped and developed AI-driven algorithmic cultural production and consumption.
Автор: by Shashi Narayan, Claire Gardent Название: Deep Learning Approaches to Text Production ISBN: 1681737604 ISBN-13(EAN): 9781681737607 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14276.00 р. Наличие на складе: Нет в наличии.
Описание: Text production has many applications. It is used, for instance, to generate dialogue turns from dialogue moves, verbalise the content of knowledge bases, or generate English sentences from rich linguistic representations, such as dependency trees or abstract meaning representations. Text production is also at work in text-to-text transformations such as sentence compression, sentence fusion, paraphrasing, sentence (or text) simplification, and text summarisation. This book offers an overview of the fundamentals of neural models for text production. In particular, we elaborate on three main aspects of neural approaches to text production: how sequential decoders learn to generate adequate text, how encoders learn to produce better input representations, and how neural generators account for task-specific objectives. Indeed, each text-production task raises a slightly different challenge (e.g, how to take the dialogue context into account when producing a dialogue turn, how to detect and merge relevant information when summarising a text, or how to produce a well-formed text that correctly captures the information contained in some input data in the case of data-to-text generation). We outline the constraints specific to some of these tasks and examine how existing neural models account for them. More generally, this book considers text-to-text, meaning-to-text, and data-to-text transformations. It aims to provide the audience with a basic knowledge of neural approaches to text production and a roadmap to get them started with the related work. The book is mainly targeted at researchers, graduate students, and industrials interested in text production from different forms of inputs.
The use of computation in archaeology is a kind of magic, a way of heightening the archaeological imagination. Agent-based modelling allows archaeologists to test the ‘just-so’ stories they tell about the past. It requires a formalization of the story so that it can be represented as a simulation; researchers are then able to explore the unintended consequences or emergent outcomes of stories about the past. Agent-based models are one end of a spectrum that, at the opposite side, ends with video games. This volume explores this spectrum in the context of Roman archaeology, addressing the strengths, weaknesses, and opportunities of a formalized approach to computation and archaeogaming.
The use of computation in archaeology is a kind of magic, a way of heightening the archaeological imagination. Agent-based modelling allows archaeologists to test the ‘just-so’ stories they tell about the past. It requires a formalization of the story so that it can be represented as a simulation; researchers are then able to explore the unintended consequences or emergent outcomes of stories about the past. Agent-based models are one end of a spectrum that, at the opposite side, ends with video games. This volume explores this spectrum in the context of Roman archaeology, addressing the strengths, weaknesses, and opportunities of a formalized approach to computation and archaeogaming.
Автор: Robert G. Reynolds, Yousof Gawasmeh Название: Cultural Algorithms: Tools to Model Complex Dynamic Social Systems ISBN: 1119403081 ISBN-13(EAN): 9781119403081 Издательство: Wiley Рейтинг: Цена: 17258.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A thorough look at how societies can use cultural algorithms to understand human social evolution
For those working in computational intelligence, developing an understanding of how cultural algorithms and social intelligence form the essential framework for the evolution of human social interaction is essential. This book, Cultural Algorithms: Tools to Model Complex Dynamic Social Systems, is the foundation of that study. It showcases how we can use cultural algorithms to organize social structures and develop socio-political systems that work.
For such a vast topic, the text covers everything from the history of the development of cultural algorithms and the basic framework with which it was organized. Readers will also learn how other nature-inspired algorithms can be expressed and how to use social metrics to assess the performance of various algorithms.
In addition to these topics, the book covers topics including:
● The CAT system including the Repast Simphony System and CAT Sample Runs
● How to problem solve using social networks in cultural algorithms with auctions
● Understanding Common Value Action to enhance Social Knowledge Distribution Systems
● Case studies on team formations
● An exploration of virtual worlds using cultural algorithms
For industry professionals or new students, Cultural Algorithms provides an impactful and thorough look at both social intelligence and how human social evolution translates into the modern world.
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy.
In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering.
This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source.
Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care.
With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.
This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.
The groundbreaking book presents state-of-the-art chapters on many subjects including:
A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
A review of current augmenting dental care
An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
A review of telemedicine technologies
Building empathy in young children using augmented reality
AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
Mobile doctor brain AI App
An artificial intelligence mobile cloud computing tool
Development of a robotic teaching aid for disabled children
Training system design of lower limb rehabilitation robot based on virtual reality
Автор: Bohr, Adam Название: Artificial Intelligence In Healthcare ISBN: 0128184388 ISBN-13(EAN): 9780128184387 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Artificial Intelligence in Healthcare Data is more than a comprehensive introduction to artificial intelligence and machine learning. The book is split into two sections with an introduction to current healthcare data challenges that is followed by specific applications and case studies. The editors explore how AI is used as a tool in the analysis of healthcare data, specifically focusing on machine learning, deep learning, natural language processing. data privacy, cybersecurity and the ethics. Other sections explore how AI tools can help to interrogate data across a range of healthcare applications, including AI driven wearables and sensors and AI assisted surgery.
This book will be useful for researchers, graduate students and practitioners in computer science, data science, bioinformatics, health informatics, biomedical engineering and clinical engineering.
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