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This book is written by several medical educators from developed as well as developing countries based on decades of experience in teaching. The unique experience gained during the COVID-19 pandemic has added new dimensions to the traditional pedagogy, andragogy, and heutagogy, documented here. The salient topics include distance learning, virtual classrooms, virtual workshops on OSCEs, open book exams, micro-learning, micro-credentialing, blended or digitalized curriculum delivery, academic leadership, communication skills, professionalism, telemedicine, bioethics, cyber clinics, artificial intelligence, etc. This book is used as a text or reference book by physicians, teachers, scholars, students, and medical universities for teachers'training, capacity building, and guidance on fundamental pillars of cognitive domains of knowledge, skills, and attitude, as well as factual, conceptual, procedural, and metacognitive skills. It is also a source of guidance in faculty enhancement and toward continued quality improvement in medical education.

ファーストステップシリーズは、コンピュータを初めて本格的に学ぶ大学生・高専生を対象にしたものです。シリーズの中で、本書は、政府の「AI 戦略2019」によって、すべての大学・高専生が習得すべき「数理・データサイエンス・AI ／リテラシーレベル」として策定されたモデルカリキュラム（2024年2月改訂）に準拠した内容のテキストです。特に、コンピュータに関する学習をこれから始める文系学部の学生の皆さんにとっても、分かりやすく学んでいただけるように配慮しました。 本書ではAI やデータサイエンスの知識や仕組みについて、事例や図解を使って具体的に説明しています。また、それらがどのように使われ、どんな有効性があるのか、反面、どんな問題があるのかについても示しました。AI・データサイエンスを1から学ぶためにこの上ない一冊です。

'This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications'--

This book presents the advances in the concept, model, method, and tools for the global supply chain management. The conference took place in Marrakesh from May 2 to May 4, 2024. The 7th edition of this conference focused on Smart Sustainable and Green Logistics. The papers included in the book's proceedings cover various themes, such as:. Metaheuristics for industry 4.0. Multi-agent systems for solving combinatorial optimization problems. Sustainability in supply chain management: a paradigm for global transformation. Sustainable and agile supply chain management. Sustainable and smart management of water resources: innovative optimization. Artificial intelligence and emerging technologies: advancements and applications. Artificial intelligence techniques and statistical modeling for mobility and urban logistics planning. Smart and green process in transport and logistics. Viability of logistics networks, structural dynamics and recovery strategy—low certainty context. Modeling, simulation and optimization. Planning and scheduling. Decision support systems. Risk management. Project management. Information systems integration. Supply chain design and control. Models and algorithms for electric mobility

This book delves into contemporary business analytics techniques across sectors for critical decision-making. It combines data, mathematical and statistical models, and information technology to present alternatives for decision evaluation. Offering systematic mechanisms, it explores business contexts, factors, and relationships to foster competitiveness. Beyond managerial perspectives, it includes contributions from professionals, academics, and scholars worldwide, delivering comprehensive knowledge and skills through diverse viewpoints, cases, and applications of analytical tools. As an international business science reference, it targets professionals, academics, researchers, doctoral scholars, postgraduate students, and research organizations seeking a nuanced understanding of modern business analytics.

La doctrina expuesta representa la antesala que justifica la necesidad de implementar el control interno con enfoque de innovación hacia tecnologías modernas e inteligencia artificial no solo en el ámbito de la gestión organizacional, que abarca el control previo y continuo, sino en el ejercicio de la auditoría que representa el control posterior...

This book explains how to embed artificial intelligence in digitized business processes of ERP software by solving the two related substantial challenges: how can artificial intelligence be systematically integrated into ERP business processes for ease of consumption, and how can artificial intelligence be made enterprise-ready by covering ERP qualities like compliance, lifecycle management, extensibility, or scalability? As a general introduction, the first part of this book takes the reader through a historical journey towards intelligent ERP systems. In addition, reference processes and a reference architecture for ERP systems are proposed which build the foundation for the suggested subsequent solution concept, including a method for operationalizing intelligence for ERP business processes. Subsequently, in the second part detailed concepts of embedding artificial intelligence into ERP software are proposed. In this context the suggested solution architecture is depicted, and specific topics are resolved like data integration, model validation, explainability, data protection and privacy, model degradation and performance. In the last part an implementation framework is suggested which enables the previously introduced concepts and harmonizes the development and operations of artificial intelligent ERP applications. This part concludes with case studies considering artificial intelligence scenarios of SAP S/4HANA in the areas of logistics, finance and sales which apply the defined solution approach and shows its real-world feasibility. This book is written for professionals who want to implement (as developers) or exploit (as business analysts or consultants) or consider/plan the implementation/exploitation (as managers) of artificial intelligence in business information systems.

The ever-evolving marketing technologies now include the extensive use of advanced AI with important implications for the decision making processes of both marketers and consumers. This detailed and insightful book rigorously examines the role of heuristics and marketers'decision making within the industry's growing utilisation of AI.Simone Guercini analyses over a decade of research, arguing that heuristics remain an important behavioural indicator despite complex data-driven models now characterising marketers'decision making. Key examples of heuristics within marketing automation are referenced, including customer clustering, recommendation systems and programmatic advertising. Marketing Automation and Decision Making convincingly asserts that technological tools which adopt functional heuristics have the potential to integrate AI into marketing competences without replacing human capabilities, instead using machine capabilities to support and augment human capacity with highly beneficial outcomes.This innovative and forward-thinking book will be a fascinating read for students and academics interested in marketing, social science, social policy, psychology, AI and cognitive science. Marketing scholars and practitioners will also find this a highly interesting read.

This book covers topics needed to be considered in research around usable privacy. The book starts from a psychological perspective and introduces readers to basic behavioral theories and models that can explain end-user privacy behavior (including the “privacy paradox”) on a theoretical level. Subsequently, an introduction to different study methods (e.g., experiment, survey, interviews, co-creation) used in usable privacy research is given. Based on this, different methodological aspects, such as identifying appropriate questionnaires, and applying User-Centered Design, will be discussed. Finally, the book describes application areas for privacy research such as dark patterns and presents solutions for privacy protection, e.g., regarding consent-giving and PETs. The book aims to bring together the different research approaches to the topic of usable privacy, which often originate from computer science, psychology, and law, and provide a methodologically sound basis for researchers who want to delve deeper into this topic.This is an open access book.

This book reflects the various dimensions of play. It gathers together experience with role-play, tabletop, and online games and develops and assesses tools. It also reflects the human condition in this world of games as it becomes a digital world. We are living in a World of Games where every game is a world through which we learn about the world. A World of Games is fun and engaging, but it also provides deceptive pleasures. What may seem like fun is far from harmless. And then there are the many ways of learning in the mode of play.

本書は，新たに注目される，さまざまな経営分野における業務特化型AIの作り方を指南，意思決定への貢献を目指す。マネジメントでの応用を踏まえ，ツールの使い方を解説している。

This book constitutes thoroughly revised and selected papers from the 8th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2020, held in Valletta, Malta, in February 2020. The 15 revised and extended papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research results and development activities in using models and model driven engineering techniques for software development. The papers are organized in topical sections on​ methodologies, processes and platforms; applications and software development; modeling languages, tools and architectures.

This book describes methods for statistical brain imaging data analysis from both the perspective of methodology and from the standpoint of application for software implementation in neuroscience research. These include those both commonly used (traditional established) and state of the art methods. The former is easier to do due to the availability of appropriate software. To understand the methods it is necessary to have some mathematical knowledge which is explained in the book with the help of figures and descriptions of the theory behind the software. In addition, the book includes numerical examples to guide readers on the working of existing popular software. The use of mathematics is reduced and simplified for non-experts using established methods, which also helps in avoiding mistakes in application and interpretation. Finally, the book enables the reader to understand and conceptualize the overall flow of brain imaging data analysis, particularly for statisticians and data-scientists unfamiliar with this area. The state of the art method described in the book has a multivariate approach developed by the authors'team. Since brain imaging data, generally, has a highly correlated and complex structure with large amounts of data, categorized into big data, the multivariate approach can be used as dimension reduction by following the application of statistical methods. The R package for most of the methods described is provided in the book. Understanding the background theory is helpful in implementing the software for original and creative applications and for an unbiased interpretation of the output. The book also explains new methods in a conceptual manner. These methodologies and packages are commonly applied in life science data analysis. Advanced methods to obtain novel insights are introduced, thereby encouraging the development of new methods and applications for research into medicine as a neuroscience.

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.•The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniquesfor energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and

In a world of accelerating unending change, perpetual surveillance, and increasing connectivity, conflict has become ever more complex. Wars are no longer limited to the traditional military conflict domains—land, sea, air; even space and cyber space. The new battlefield will be the cognitive domain and the new conflict a larger contest for power; a contest for cognitive superiority. Written by experts in military operations research and neuropsychology, this book introduces the concept of cognitive superiority and provides the keys to succeeding within a complex matrix where the only rules are the laws of physics, access to information, and the boundaries of cognition.The book describes the adversarial environment and how it interacts with the ongoing, accelerating change that we are experiencing, irrespective of adversaries. It talks about the ascendant power of information access, pervasive surveillance, personalized persuasion, and emerging new forms of cognition. It profiles salient technologies and science, including persuasion science, artificial intelligence and machine learning (AI/ML), surveillance technologies, complex adaptive systems, network science, directed human modification, and biosecurity. Readers will learn about human and machine cognition, what makes it tick, and why and how we and our technologies are vulnerable.Following in the tradition of Sun-Tsu and von Clausewitz, this book writes a new chapter in the study of warfare and strategy. It is written for those who lead, aspire to leadership, and those who teach or persuade, especially in the fields of political science, military science, computer science, and business.

This two-volume set constitutes the proceedings of the 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, held in Skukuza, South Africa, in April 2020.• The total of 80 full and 7 short papers presented in these volumes were carefully reviewed and selected from 191 submissions. The papers are organized in the following topical sections: Part I: block chain; fourth industrial revolution; eBusiness; business processes; big data and machine learning; and ICT and education Part II: eGovernment; eHealth; security; social media; knowledge and knowledge management; ICT and gender equality and development; information systems for governance; and user experience and usability•Due to the global COVID-19 pandemic and the consequential worldwide imposed travel restrictions and lockdown, the I3E 2020 conference event scheduled to take place in Skukuza, South Africa, was unfortunately cancelled.

This book presents cutting-edge research on innovative human systems integration and human–machine interaction, with an emphasis on artificial intelligence and automation, as well as computational modeling and simulation. It covers a wide range of applications in the areas of design, construction and operation of products, systems and services, and discusses the human factors in a wide range of settings. Gathering the proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020), held on February 19–21, 2020, in Modena, Italy, the book's goal is to advance the theory and applications of artificial cognitive systems and improve human-artificial systems collaboration. Special emphasis is placed on automotive design, autonomous vehicles and the applications of artificial intelligence. The book offers a timely survey and source of inspiration for human factors engineers, automotive engineers, IT developers and UX designers who are working toshape the future of automated intelligent systems.

This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.” A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.

PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2017 in the special sessions: Agent-Based Social Simulation, Modelling and Big-Data Analytics (ABM); Advances on Demand Response and Renewable Energy Sources in Agent Based Smart Grids (ADRESS); Agents and Mobile Devices (AM); Computer vision in Multi-Agent Robotics (RV); Persuasive Technologies (PT); Web and Social Media Mining (WASMM). Thevolume also includes the papers accepted for publication in the Doctoral Consortium (DCAI, DCAI-DECON, ISAMI, MIS4TEL, PAAMS, PACBB 2017 conferences).

This handbook offers the first comprehensive reference guide to the interdisciplinary field of model-based reasoning. It highlights the role of models as mediators between theory and experimentation, and as educational devices, as well as their relevance in testing hypotheses and explanatory functions. The Springer Handbook merges philosophical, cognitive and epistemological perspectives on models with the more practical needs related to the application of this tool across various disciplines and practices. The result is a unique, reliable source of information that guides readers toward an understanding of different aspects of model-based science, such as the theoretical and cognitive nature of models, as well as their practical and logical aspects. The inferential role of models in hypothetical reasoning, abduction and creativity once they are constructed, adopted, and manipulated for different scientific and technological purposes is also discussed. Written by a group of internationally renowned experts in philosophy, the history of science, general epistemology, mathematics, cognitive and computer science, physics and life sciences, as well as engineering, architecture, and economics, this Handbook uses numerous diagrams, schemes and other visual representations to promote a better understanding of the concepts. This also makes it highly accessible to an audience of scholars and students with different scientific backgrounds. All in all, the Springer Handbook of Model-Based Science represents the definitive application-oriented reference guide to the interdisciplinary field of model-based reasoning.

This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Münster, Germany in March 2017. The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO algorithm implementations.

This book constitutes the refereed workshop proceedings of the 16th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016. The 30 full papers presented were carefully reviewed and selected from 58 submissions. They cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems trying to push beyond the limits of existing technologies, including experimental efforts, innovative systems, and investigations that identify weaknesses in existing parallel processing technology.

The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.

This volume contains the proceedings of the 2012 International Conference of Modern Computer Science and Applications (MCSA 2012) which was held on September 8, 2012 in Wuhan, China. The MCSA 2012 provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of modern computer science and applications in theoretical and practical aspects.

'This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges'

The 7th IFIP Workshop on Software Technologies for Future Embedded and Ubiquitous Systems (SEUS) followed on the success of six previous editions in Capri, Italy (2008), Santorini, Greece (2007), Gyeongju, Korea (2006), Seattle, USA (2005), Vienna, Austria (2004), and Hokodate, Japan (2003), establishing SEUS as one of the emerging workshops in the?eld of embedded and ubiq- tous systems. SEUS 2009 continued the tradition of fostering cross-community scienti?c excellence and establishing strong links between researchand industry. The?elds of both embedded computing and ubiquitous systems have seen considerable growth over the past few years. Given the advances in these?elds, and also those in the areas of distributed computing, sensor networks, midd- ware, etc., the area of ubiquitous embedded computing is now being envisioned as the wayof the future. The systems and technologies that will arise in support of ubiquitous embedded computing will undoubtedly need to address a variety of issues, including dependability, real-time, human–computer interaction, - tonomy, resource constraints, etc. All of these requirements pose a challenge to the research community. The purpose of SEUS 2009 was to bring together - searchersand practitioners with an interest in advancing the state of the artand the state of practice in this emerging?eld, with the hope of fostering new ideas, collaborations and technologies. SEUS 2009 would not have been possible without the e?ort of many people.

The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum with dedication to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both the academia and industry to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. The ICIC 2006 to be held in Kunming, Yunnan, China, 16-19 August 2006 is the second International Conference on Intelligent Computing, which is built upon the success of ICIC 2005 held in Hefei, China, 2005. This year, the conference mainly concentrates on the theories & methodologies as well as the emerging applications of intelligent computing. It intends to unify the contemporary intelligent computing techniques within an integral framework that highlights the trends in advanced computational intelligence and bridges the theoretical research with the applications. In particular, the bio-inspired computing emerges as a key role in pursuing for novel technology in recently years. The resulting techniques vitalize the life science engineering and daily life applications. In light of this trend, the theme for this conference is the Emerging Intelligent Computing Technology and Applications. Papers related to this theme were especially solicited, including theories, methodologies, and applications in science and technology.