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The truth about robots: two experts look beyond the hype, offering a lively and accessible guide to what robots can (and can't) do. There’s a lot of hype about robots; some of it is scary and some of it utopian. In this accessible book, two robotics experts reveal the truth about what robots can and can’t do, how they work, and what we can reasonably expect their future capabilities to be. It will not only make you think differently about the capabilities of robots; it will make you think differently about the capabilities of humans. Ruth Aylett and Patricia Vargas discuss the history of our fascination with robots—from chatbots and prosthetics to autonomous cars and robot swarms. They...
Animated interactive characters and robots that are able to function in human social environments are being developed by a large number of research groups worldwide. Emotional expression, as a key element of human social interaction and communication, is often added in an attempt to make them appear more natural to us. How can such artefacts be given emotional displays that are believable and acceptable to humans? This is the central question of Animating Expressive Characters for Social Interaction. The ability to express and recognize emotions is a fundamental aspect of social interaction. Not only is it a central research question, it has been explored in animated films, dance, and other expressive arts for a much longer period. This book is unique in presenting a multi-disciplinary approach to animation in its broadest sense: from internal mechanisms to external displays, not only from a graphical perspective, but more generally examining how to give characters an anima, so that they appear as life-like entities and social partners to humans. (Series B)
Standard ML has become the principal teaching language for introducing functional programming. This textbook places emphasis on teaching the essential features of ML, with extensive practical examples, and is intended for undergraduates studying functional programming with Standard ML.
This volume, containing the proceedings of IVA 2003, held at Kloster Irsee, in Germany, September 15–17, 2003, is testimony to the growing importance of IntelligentVirtualAgents(IVAs) asaresearch?eld.Wereceived67submissions, nearly twice as many as for IVA 2001, not only from European countries, but from China, Japan, and Korea, and both North and South America. As IVA research develops, a growing number of application areas and pl- forms are also being researched. Interface agents are used as part of larger - plications, often on the Web. Education applications draw on virtual actors and virtual drama, while the advent of 3D mobile computing and the convergence of telephones and PDAs produce geographically-aware guides and mobile - tertainment applications. A theme that will be apparent in a number of the papers in this volume is the impact of embodiment on IVA research – a char- teristic di?erentiating it to some extent from the larger ?eld of software agents.
This book constitutes the refereed proceedings of the 6th International Workshop on Intelligent Virtual Agents, IVA 2006. The book presents 24 revised full papers and 11 revised short papers together with 3 invited talks and the abstracts of 19 poster papers. The papers are organized in topical sections on social impact of IVAs, IVAs recognizing human behavior, human interpretation of IVA behavior, embodied conversational agents, characteristics of nonverbal behavior and more.
Discusses the fundamentals of building and engineering robots, addresses the challenges of making them more functional and intelligent, and provides examples from science, technology, and motion pictures.
This book constitutes the refereed proceedings of the 4th International Conference on Virtual Storytelling, ICVS 2007, held in Saint-Malo, France, in December 2007. The 12 revised full papers, three invited papers and seven poster and demo papers were carefully reviewed and selected. The papers are organized in topical sections on authoring tools and story models, behavior modeling, user interactivity, an invited session: related EU projects, as well as the poster and demo session.
Five travellers meet on a train: a teacher, a technologist, an educational researcher and two children. As they travel across the continent towards the Future of Learning conference, they exchange their stories. This book explores the ways in which new technology can support storytelling skills in learners. Written in the form of discussions between teachers, learners and researchers, it is an accessible introduction to issues in educational storytelling and technology. "A challengingly thoughtful book about narrative, daringly written in the narrative form.Bravo!" Jerome Bruner, New York University. "This is the perfect introduction to the possibilities of narrative learning...I warmly recommend Inside Stories: A Narrative Journey to creative educators of every variety." Dr Donald Smith, Director of the Scottish Storytelling Centre.
Artificial Intelligence is one of the most fascinating and unusual areas of academic study to have emerged this century. For some, AI is a true scientific discipline, that has made important and fundamental contributions to the use of computation for our understanding of nature and phenomena of the human mind; for others, AI is the black art of computer science. Artificial Intelligence Today provides a showcase for the field of AI as it stands today. The editors invited contributions both from traditional subfields of AI, such as theorem proving, as well as from subfields that have emerged more recently, such as agents, AI and the Internet, or synthetic actors. The papers themselves are a mixture of more specialized research papers and authorative survey papers. The secondary purpose of this book is to celebrate Springer-Verlag's Lecture Notes in Artificial Intelligence series.
The Intelligent Techniques for Planning presents a number of modern approaches to the area of automated planning. These approaches combine methods from classical planning such as the construction of graphs and the use of domain-independent heuristics with techniques from other areas of artificial intelligence. This book discuses, in detail, a number of state-of-the-art planning systems that utilize constraint satisfaction techniques in order to deal with time and resources, machine learning in order to utilize experience drawn from past runs, methods from knowledge systems for more expressive representation of knowledge and ideas from other areas such as Intelligent Agents. Apart from the thorough analysis and implementation details, each chapter of the book also provides extensive background information about its subject and presents and comments on similar approaches done in the past.