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”.

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 is an open access book.The 4th International Conference on Literature, Art and Human Development (ICLAHD 2022) was successfully held on October 28th-30th, 2022 in Xi’an, China (virtual conference). ICLAHD 2022 brought together academics and experts in the field of Literature, Art and Human Development research to a common forum, promoting research and developmental activities in related fields as well as scientific information interchange between researchers, developers, and engineers working all around the world.We were honored to have Assoc. Prof. Chew Fong Peng from University of Malaya, Malaysia to serve as our Conference Chair. The conference covered keynote speeches, oral presentations, and online Q&A discussion, attracting over 300 individuals. Firstly, keynote speakers were each allocated 30-45 minutes to hold their speeches. Then in the oral presentations, the excellent papers selected were presented by their authors in sequence.

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.

Design of cognitive systems for assistance to people poses a major challenge to the fields of robotics and artificial intelligence. The Cognitive Systems for Cognitive Assistance (CoSy) project was organized to address the issues of i) theoretical progress on design of cognitive systems ii) methods for implementation of systems and iii) empirical studies to further understand the use and interaction with such systems. To study, design and deploy cognitive systems there is a need to considers aspects of systems design, embodiment, perception, planning and error recovery, spatial insertion, knowledge acquisition and machine learning, dialog design and human robot interaction and systems integration. The CoSy project addressed all of these aspects over a period of four years and across two different domains of application – exploration of space and task / knowledge acquisition for manipulation. The present volume documents the results of the CoSy project. The CoSy project was funded by the European Commission as part of the Cognitive Systems Program within the 6th Framework Program.

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.