This is an open access book.Industrial Revolution 4.0. is a global acceleration era in creating a masterpiece to accelerate economic achievement in a country. This era is a challenge for all of us particularly in the field of language, literature, arts and education. In order to respond this challenge, creative industry should take and play important role to bring benefit for our country. For this purpose the 11th International Conference on Language and Arts (ICLA-11) invites researchers, teachers/lecturers, and students to come as presenters or participants. This year theme is “Current Issues in Collaborative Learning and Digital Technology in Languages and Arts”.

This is an open access book. The 2nd International Conference on Languages and Arts across Cultures (ICLAAC) aims to provide a venue for lecturers, teachers, researchers, as well as language and art professionals to share their insights, experiences, and ideas. This conference will also bridge the knowledge gap by presenting their works on languages and arts issues. The event will provide limitless resources and opportunities to interact with prominent scholars in this field worldwide. This will allow us to significantly expand our existing global network.The conference theme will give us a better understanding of humans through languages and arts. The development of cultural value occurring in today's global communities is certainly a stimulant for artist and language users in creating their artifacts. Restoring cross-cultural understanding is a bridge to understanding the complexities of language, culture, and the role of art in them. Cross-cultural understanding refers to people's attempts to understand one another, particularly between people of different cultural backgrounds. Significant cultural and artistic creations are incorporated into a language that promotes scholarly debate and scientific comprehension. As an attempt to minimize the spread of covid-19 virus, the conference presenters will be invited to present their papers online via zoom.

This is an open access book. International Science and Culture Center for Academic Contacts (ISCCAC) is pleased to announce The 3rd International Conference on Language, Communication and Culture Studies (ICLCCS 2022). The conference was held on August 12-13, 2022. Due to the COVID-19 pandemic, the conference was held in on-line format. ICLCCS 2022 covers a number of problems, such as: prospects for the development of linguistics, modern approaches and topical issues of teaching foreign languages, information technologies as a medium of language existence, language as the means of intercultural communication, problems of modern translation studies and other topical issues in the interrelated fields of language, communication and culture.

We are pleased to introduce the proceedings of the second edition of the International Conference of Humanities and Social Science 2022 (ICHSS). The conference has brought researchers, developers, and practitioners around the world to write about their work in social and humanities research aimed at strengthening diversity. The theme of ICHSS 2022 is "Freedom to Learn in Education, Social, Religious, Culture, and Language Perspective."

This book offers a new and externalist perspective in ignorance studies. Agnotology, the epistemology of ignorance, and, more generally, ignorance studies have grown to cover and explore different phenomena and subjects of research, from known events in history and sociology of science to the investigation of ordinary reasoning and cognitive processing. Nonetheless, although interested scholars have discussed ignorance phenomena and their impact on cognition, most of them have only adopted an internalist perspective to approach this theme. Meanwhile, even though externalist perspectives on cognition flourished in recent literature, authors have paid little attention to the emerging field of ignorance studies. Ignorance has been generally left out from the inquiries on the extension of cognitive states, cognitive processes, and predictive reasoning. Thus, in this volume, we seek to merge the two growing areas of research and to fill this research gap fruitfully. By addressing the uncomfortable themes that pertain to ignorance and related phenomena through an externalist perspective, this book aims to provide much food for thoughts to cognitive scientists and philosophers alike, enriching the current range and reach of both ignorance studies and externalist approaches to cognition.

This edited book explores the many interesting questions that lie at the intersection between AI and HCI. It covers a comprehensive set of perspectives, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously challenging or impossible to address. It starts with addressing classic HCI topics, including human behaviour modeling and input, and then dedicates a section to data and tools, two technical pillars of modern AI methods. These chapters exemplify how state-of-the-art deep learning methods infuse new directions and allow researchers to tackle long standing and newly emerging HCI problems alike. Artificial Intelligence for Human Computer Interaction: A Modern Approach concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation.

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.