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Evaluating Explanations
Psychology and philosophy have long studied the nature and role of explanation. More recently, artificial intelligence research has developed promising theories of how explanation facilitates learning and generalization. By using explanations to guide learning, explanation-based methods allow reliable learning of new concepts in complex situations, often from observing a single example. The author of this volume, however, argues that explanation-based learning research has neglected key issues in explanation construction and evaluation. By examining the issues in the context of a story understanding system that explains novel events in news stories, the author shows that the standard assumptions do not apply to complex real-world domains. An alternative theory is presented, one that demonstrates that context -- involving both explainer beliefs and goals -- is crucial in deciding an explanation's goodness and that a theory of the possible contexts can be used to determine which explanations are appropriate. This important view is demonstrated with examples of the performance of ACCEPTER, a computer system for story understanding, anomaly detection, and explanation evaluation.
Case-based Reasoning
It also presents lessons learned about how to design CBR systems and how to apply them to real-world problems. The final chapters include a perspective on the state of the field and the most important directions for future impact.
Goal-driven Learning
Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings tog...
Modeling and Retrieval of Context
This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Modeling and Retrieval of Context, MRC Edinburgh 2005. The 9 revised full papers presented were carefully selected and include extended versions of some presented at the MRC 2005 workshop. A major goal of the workshop was to study, understand, and explore the handling of context in IT applications. The papers illustrate the state of the art of context modeling and elicitation as well as identification and application of context in different application scenarios.
Advances in Case-Based Reasoning
This book constitutes the refereed proceedings of the 5th European Workshop on Case-Based Reasonning, EWCBR 2000, held in Trento, Italy in September 2000. The 40 revised full papers presented together with two invited contributions were carefully reviewed and selected for inclusion in the book. All curves issues in case-based reasoning, ranging from foundational and theoretical aspects to advanced applications in various fields are addressed.
Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society
This volume features the complete text of all regular papers, posters, and summaries of symposia presented at the 16th annual meeting of the Cognitive Science Society.
Soft Computing in Case Based Reasoning
This text demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning, that is, for real-life decision-making or recognition problems. Comprising contributions from experts, it introduces the basic concepts and theories, and includes many reports on real-life applications. This book is of interest to graduate students and researchers in computer science, electrical engineering and information technology, as well as researchers and practitioners from the fields of systems design, pattern recognition and data mining.
The Nature of War in the Information Age
There has been a great deal of speculation recently concerning the likely impact of the 'Information Age' on warfare. In this vein, much of the Revolution in Military Affairs (RMA) literature subscribes to the idea that the Information Age will witness a transformation in the very nature of war. In this book, David Lonsdale puts that notion to the test. Using a range of contexts, the book sets out to look at whether the classical Clausewitzian theory of the nature of war will retain its validity in this new age. The analysis covers the character of the future battlespace, the function of command, and the much-hyped concept of Strategic Information Warfare. Finally, the book broadens its perspective to examine the nature of 'Information Power' and its implications for geopolitics. Through an assessment of both historical and contemporary case studies (including the events following September 11 and the recent war in Iraq), the author concludes that although the future will see many changes to the conduct of warfare, the nature of war, as given theoretical form by Clausewitz, will remain essentially unchanged.
