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Heuristics, Probability, and Casuality
The field of Artificial Intelligence has changed a great deal since the 80s, and arguably no one has played a larger role in that change than Judea Pearl. Judea Pearl's work made probability the prevailing language of modern AI and, perhaps more significantly, it placed the elaboration of crisp and meaningful models, and of effective computational mechanisms, at the center of AI research. This book is a collection of articles in honor of Judea Pearl, written by close colleagues and former students. Its three main parts, heuristics, probabilistic reasoning, and causality, correspond to the titles of the three ground-breaking books authored by Judea, and are followed by a section of short remi...
Progress in Inorganic Chemistry, Volume 53
The cutting edge of scientific reporting . . . PROGRESS in Inorganic Chemistry Nowhere is creative scientific talent busier than in the world of inorganic chemistry experimentation. Progress in Inorganic Chemistry continues in its tradition of being the most respected avenue for exchanging innovative research. This series provides inorganic chemists and materials scientists with a forum for critical, authoritative evaluations of advances in every area of the discipline. With contributions from internationally renowned chemists, this latest volume offers an in-depth, far-ranging examination of the changing face of the field, providing a tantalizing glimpse of the emerging state of the science. "This series is distinguished not only by its scope and breadth, but also by the depth and quality of the reviews." -Journal of the American Chemical Society "[This series] has won a deservedly honored place on the bookshelf of the chemist attempting to keep afloat in the torrent of original papers on inorganic chemistry." -Chemistry in Britain CONTENTS OF VOLUME 53 * Main Group Dithiocarbamate Complex (Peter J. Heard) * Transition Metal Dithiocarbamates-1978-2003 (Graeme Hogarth)
Robot Learning from Human Teachers
Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the past 30 years, with a wide variety of approaches for encoding human demonstrations and modeling skills and tasks. Additionally, we have recently seen a focus on gathering data from non-expert human teachers (i.e., domain experts but not robotics experts). In this book, we provide an introduction to the field with a focus on the unique technical challenges associated with designing robots that learn from naive human teachers. We begin, in the introduction, with a unification of the various terminolo...
Progress in Inorganic Chemistry
The cutting edge of scientific reporting . . . PROGRESS in Inorganic Chemistry Nowhere is creative scientific talent busier than in the world ofinorganic chemistry experimentation. Progress in InorganicChemistry continues in its tradition of being the most respectedavenue for exchanging innovative research. This series providesinorganic chemists and materials scientists with a forum forcritical, authoritative evaluations of advances in every area ofthe discipline. With contributions from internationally renownedchemists, this latest volume offers an in-depth, far-rangingexamination of the changing face of the field, providing atantalizing glimpse of the emerging state of the science. "This s...
An Introduction to the Planning Domain Definition Language
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given situation. AI planning is model-based: a planning system takes as input a description (or model) of the initial situation, the actions available to change it, and the goal condition to output a plan composed of those actions that will accomplish the goal when executed from the initial situation. The Planning Domain Definition Language (PDDL) is a formal knowledge representation language designed to express planning models. Developed by the planning research community as a means of facilitating ...
Progress in Inorganic Chemistry, Volume 55
The cutting edge of scientific reporting . . . PROGRESS in Inorganic Chemistry Nowhere is creative scientific talent busier than in the world of inorganic chemistry experimentation. Progress in Inorganic Chemistry continues in its tradition of being the most respected avenue for exchanging innovative research. This series provides inorganic chemists and materials scientists with a forum for critical, authoritative evaluations of advances in every area of the discipline. With contributions from internationally renowned chemists, this latest volume offers an in-depth, far-ranging examination of the changing face of the field, providing a tantalizing glimpse of the emerging state of the science...
Reasoning with Probabilistic and Deterministic Graphical Models
Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning, diagnosis and prediction, design, hardware and software verification, and bioinformatics. These problems can be stated as the formal tasks of constraint satisfaction and satisfiability, combinatorial optimization, and probabilistic inference. It is well known that the tasks are computationally hard, but research during the past three decades has yielde...
Handbook on Scheduling
This book provides a theoretical and application-oriented analysis of deterministic scheduling problems in advanced planning and computer systems. The text examines scheduling problems across a range of parameters: job priority, release times, due dates, processing times, precedence constraints, resource usage and more, focusing on such topics as computer systems and supply chain management. Discussion includes single and parallel processors, flexible shops and manufacturing systems, and resource-constrained project scheduling. Many applications from industry and service operations management and case studies are described. The handbook will be useful to a broad audience, from researchers to practitioners, graduate and advanced undergraduate students.
