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Robotics Research
The Eighth International Symposium of Robotics Research was held in Kanagawa, Japan, on October 4-7 1997; Robotics Research presents the findings of this symposium. The papers, written by international specialists in the field, cover the many topics concerning advanced robotics today, ranging from practical system design to theoretical reasoning and planning. They assess the state of the field and discuss all the current and emerging trends dealing with, amongst many other topics, mobile robotics, manufacturing, learning from humans, autonomous land vehicles, humanoid robots, future robots, and new components. The reader will share with the attendees the meaningful steps forward in building the emerging body of concepts, methods, scientific and technical knowledge that shape modern day robotics.
Investigating Explanation-Based Learning
Explanation-Based Learning (EBL) can generally be viewed as substituting background knowledge for the large training set of exemplars needed by conventional or empirical machine learning systems. The background knowledge is used automatically to construct an explanation of a few training exemplars. The learned concept is generalized directly from this explanation. The first EBL systems of the modern era were Mitchell's LEX2, Silver's LP, and De Jong's KIDNAP natural language system. Two of these systems, Mitchell's and De Jong's, have led to extensive follow-up research in EBL. This book outlines the significant steps in EBL research of the Illinois group under De Jong. This volume describes theoretical research and computer systems that use a broad range of formalisms: schemas, production systems, qualitative reasoning models, non-monotonic logic, situation calculus, and some home-grown ad hoc representations. This has been done consciously to avoid sacrificing the ultimate research significance in favor of the expediency of any particular formalism. The ultimate goal, of course, is to adopt (or devise) the right formalism.
The Monthly Magazine
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Systems that Learn
This introduction to the concepts and techniques of formal learning theory is based on a number-theoretical approach to learning and uses the tools of recursive function theory to understand how learners come to an accurate view of reality.
The Alkaloids: Chemistry and Pharmacology
The Alkaloids: Chemistry and Pharmacology
