This book deals with "Computer Aided Writing", CAW for short. The contents of that is a sector of Knowledge based technics and Knowledge Management. The role of Knowledge Management in social media, education and Industry 4.0 is out of question. More important is the expectation of combining Knowledge Management and Cognitive Technology, which needs more and more new innovations in this field to face recent problems in social and technological areas. The book is intended to provide an overview of the state of research in this field, show the extent to which computer assistance in writing is already being used and present current research contributions. After a brief introduction into the history of writing and the tools that were created, the current developments are examined on the basis of a formal writing model. Tools such as word processing and content management systems will be discussed in detail. The special form of writing, "journalism", is used to examine the effects of Computer Aided Writing. We dedicate a separate chapter to the topic of research, since it is of essential importance in the writing process. With Knowledge Discovery from Text (KDT) and recommendation systems we enter the field of Knowledge Management in the context of Computer Aided Writing. Finally, we will look at methods for automated text generation before giving a final outlook on future developments.

It is often the case - perhaps more often than not - that new ideas arrive long before there is the me ans to clothe and deli ver them. We can think ofLeonardo da Vinci's drawings of helicopters and submarines among many other examples. Computer-Assisted Learning (CAL) is an example of an idea which has had a particularly long gestation. As I will illustrate early in the book, the principles of CAL were really first discovered by Socrates. As a formal method of teaching, the Socratic method disappeared for over two millennia until the 1950s. It was then revived in the form ofProgrammed Learning (PL) which resulted from the researches ofB. F. Skinner at Harvard University. Even then, PL was premature. In the 1950s and 60s, methods were devised, such as teaching machines and various sorts ofPL text books, and there was a mushrooming of PL publishing at that time. For a complex of reason- economic, logistical and technical-PL also largely disappeared from the mid- 60s, although it continued in a few specialized areas ofteaching and industrial training. However, during the same period, PL quietly transformed itselfinto CAL. But the computerized form was not capable of mass dissemination until recently hecause personal microcomputers did not have sufficient internal memory sizes. That situation has now changed very dramatically and 128K microcomputers are becoming cheap and widely available. Cheap memory chips of256K and 1024K cannot be far away, either.

This volume includes insights into, and reflections about, different perspectives of the relationship between L2 writing and technology with particular emphasis on the writing process, development of linguistic skills, development of writing competencies and literacy, educational approaches to writing, as well as task creation and assessmetn in diverse writing contexts. In this regards, the chapters incorporate the recognition of a connection between the fields of second language writing, pedagogy, second language acquisition, and CALL emphasizing the need for technological innovation and integration to be built upon a strong pedagogical and research-based foundation.

This book broadly covers a scope of the latest advances for the development of artificial intelligence systems and their applications in various fields from medicine and technology to education. The proceedings comprise refereed papers presented at the Fifth International Conference of Artificial Intelligence, Medical Engineering, and Education (AIMEE2021), which took place at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, on 1–3 October 2021. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in medical engineering to increase the effectiveness of medical diagnosing and treatment. In digital artificial intelligence systems, scientists endeavour to reproduce the innate intellectual abilities of humans and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and biomathematics; medical approaches; technological and educational approaches. The book is a compilation of cutting-edge research papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students who are interested in artificial intelligence, bioinformatics systems, also their expanding applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.

A complete update to a classic, respected resource Invaluable reference, supplying a comprehensive overview on how to undertake and present research

This fascinating book explores machines as authors of fiction, past, present, and future. For centuries, writers have dreamed of mechanical storytellers. We can now build these devices. What will be the impact on society of AI programs that generate original stories to entertain and persuade? What can we learn about human creativity from probing how they work? In Story Machines, two pioneers of creative artificial intelligence explore the design and impact of AI story generators. The book covers three themes: language generators that compose coherent text, storyworlds with believable characters, and AI models of human storytellers. Providing examples of story machines through the ages, it covers the history, recent developments, and future implications of automated story generation. Anyone with an interest in story writing will gain a new perspective on what it means to be a creative writer, what parts of creativity can be mechanized, and what is essentially human. Story Machines is for those who have ever wondered what makes a good story, why stories are important to us, and what the future holds for storytelling.

Are you confused by the feedback you get from your academic teachers and mentors? This clear and accessible guide to decoding academic feedback will help you interpret what your lecturer or research supervisor is really trying to tell you about your writing—and show you how to fix it. It will help you master a range of techniques and strategies to take your writing to the next level and along the way you’ll learn why academic text looks the way it does, and how to produce that ‘authoritative scholarly voice’ that everyone talks about. This book is an easy-to-use resource for postgraduate students and researchers in all disciplines, and even professional academics, to diagnose their writing issues and find ways to fix them. This book would also be a valuable text for academic writing courses and writing groups, such as those offered in doctoral and Master's by research degree programmes. 'Whether they have writing problems or not, every academic writer will want this handy compendium of effective strategies and sound explanations on their book shelf—it’s a must-have.' Pat Thomson, Professor of Education, University of Nottingham, UK