This volume brings together the work of researchers from various disciplines where aspects of descriptive, mathematical, computational or design knowledge concerning metaphor and analogy, especially in the context of agents, have emerged. The book originates from an international workshop on Computation for Metaphors, Analogy, and Agents (CMAA), held in Aizu, Japan in April 1998. The 19 carefully reviewed and revised papers presented together with an introduction by the volume editor are organized into sections on Metaphor and Blending, Embodiment, Interaction, Imitation, Situated Mapping in Space and Time, Algebraic Engineering: Respecting Structure, and a Sea-Change in Viewpoints.

Narrative Intelligence (NI) — the confluence of narrative, Artificial Intelligence, and media studies — studies, models, and supports the human use of narrative to understand the world. This volume brings together established work and founding documents in Narrative Intelligence to form a common reference point for NI researchers, providing perspectives from computational linguistics, agent research, psychology, ethology, art, and media theory. It describes artificial agents with narratively structured behavior, agents that take part in stories and tours, systems that automatically generate stories, dramas, and documentaries, and systems that support people telling their own stories. It looks at how people use stories, the features of narrative that play a role in how people understand the world, and how human narrative ability may have evolved. It addresses meta-issues in NI: the history of the field, the stories AI researchers tell about their research, and the effects those stories have on the things they discover. (Series B)

Collaborative learning has become an increasingly important part of education, but the research supporting it is distributed across a wide variety of fields including social, cognitive, developmental, and educational psychology, instructional design, the learning sciences, educational technology, socio-cultural studies, and computer-supported collaborative learning. The goal of this book is to integrate theory and research across these diverse fields of study and, thereby, to forward our understanding of collaborative learning and its instructional applications. The book is structured into the following 4 sections: 1) Theoretical Foundations 2) Research Methodologies 3) Instructional Approaches and Issues and 4) Technology. Key features include the following: Comprehensive and Global – This is the first book to provide a comprehensive review of the widely scattered research on collaborative learning including the contributions of many international authors. Cross disciplinary – The field of collaborative learning is highly interdisciplinary drawing scholars from psychology, computer science, mathematics education, science education, and educational technology. Within psychology, the book brings together perspectives from cognitive, social, and developmental psychology as well as from the cross-disciplinary field of the learning sciences. Chapter Structure – To ensure consistency across the book, authors have organized their chapters around integrative themes and issues. Each chapter author summarizes the accumulated literature related to their chapter topic and identifies the strengths and weaknesses of the supporting evidence. Strong Methodology – Each chapter within the extensive methodology section describes a specific methodology, its underlying assumptions, and provide examples of its application. This book is appropriate for researchers and graduate level instructors in educational psychology, learning sciences, cognitive psychology, social psychology, computer science, educational technology, teacher education and the academic libraries serving them. It is also appropriate as a graduate level textbook in collaborative learning, computer-supported collaborative learning, cognition and instruction, educational technology, and learning sciences.

"...a must-read text that provides a historical lens to see how ubicomp has matured into a multidisciplinary endeavor. It will be an essential reference to researchers and those who want to learn more about this evolving field." -From the Foreword, Professor Gregory D. Abowd, Georgia Institute of Technology First introduced two decades ago, the term ubiquitous computing is now part of the common vernacular. Ubicomp, as it is commonly called, has grown not just quickly but broadly so as to encompass a wealth of concepts and technology that serves any number of purposes across all of human endeavor. While such growth is positive, the newest generation of ubicomp practitioners and researchers, isolated to specific tasks, are in danger of losing their sense of history and the broader perspective that has been so essential to the field’s creativity and brilliance. Under the guidance of John Krumm, an original ubicomp pioneer, Ubiquitous Computing Fundamentals brings together eleven ubiquitous computing trailblazers who each report on his or her area of expertise. Starting with a historical introduction, the book moves on to summarize a number of self-contained topics. Taking a decidedly human perspective, the book includes discussion on how to observe people in their natural environments and evaluate the critical points where ubiquitous computing technologies can improve their lives. Among a range of topics this book examines: How to build an infrastructure that supports ubiquitous computing applications Privacy protection in systems that connect personal devices and personal information Moving from the graphical to the ubiquitous computing user interface Techniques that are revolutionizing the way we determine a person’s location and understand other sensor measurements While we needn’t become expert in every sub-discipline of ubicomp, it is necessary that we appreciate all the perspectives that make up the field and understand how our work can influence and be influenced by those perspectives. This is important, if we are to encourage future generations to be as successfully innovative as the field’s originators.

Prodigiously influential, Jacques Derrida gave rise to a comprehensive rethinking of the basic concepts and categories of Western philosophy in the latter part of the twentieth century, with writings central to our understanding of language, meaning, identity, ethics and values. In 1993, a conference was organized around the question, 'Whither Marxism?’, and Derrida was invited to open the proceedings. His plenary address, 'Specters of Marx', delivered in two parts, forms the basis of this book. Hotly debated when it was first published, a rapidly changing world and world politics have scarcely dented the relevance of this book.

This collection of short expository, critical and speculative texts offers a field guide to the cultural, political, social and aesthetic impact of software. Experts from a range of disciplines each take a key topic in software and the understanding of software, such as algorithms and logical structures.

"A good balance between theory and practice . . . it definitely fills a void in the [lack of] texts in the area and the change literature in general . . . a good fit for my graduate class on 'Managing Organizational Change.'" —Anthony F. Buono, McCallum Graduate School of Business, Bentley College "Like Gareth Morgan's Images of Organization, this book is a superb blend of theory and practicality. It demystifies chaos and paradox, and it encourages the understanding of organizational dynamics from multiple perspectives. It is refreshing to read a book that presents diverse theories and interventions so even-handedly." —Andrea Markowitz, Ph.D., President, OB&D, Inc. Learning to Change: A Guide for Organizational Change Agents provides a comprehensive overview of organizational change theories and practices developed by both U.S. and European change theorists. The authors compare and contrast five fundamentally different ways of thinking about change: yellow print thinking, blue print thinking, red print thinking, green print thinking and white print thinking. They also discuss in detail the steps change agents take, such as diagnosis, change strategy, the intervention plan, and interventions. In addition, they explore the attributes of a successful change agent and provide advice for career and professional development. The book includes case studies that describe multiple approaches to organizational change issues. This book will appeal to both the practitioner and academic audiences. It can be used as a text in graduate courses in change management and will also be a useful reference for consultants and managers. Features: Discusses the abilities, attitudes, and styles of successful change agents Describes five fundamentally different ways of thinking about change Presents a state-of-the-art overview of change management insights, methods, and instruments Summarizes an extensive amount of organizational change literature Supplies readers with useful insights and courses of action that will allow them to design and implement change professionally Learning to Change became a bestseller upon its initial publication in the Netherlands. The color-model on change is very popular among thousands of managers and change consultants and presents a new approach to change processes and a new language for change.