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Urban mobility is not only one of the pillars of modern economic systems, but also a key issue in the quest for equality of opportunity, once it can i...Savoir plus
From driving, flying, and swimming, to digging for unknown objects in space exploration, autonomous robots take on varied shapes and sizes. In part, a...Savoir plus
Logic Programming is a style of programming in which programs take the form of sets of sentences in the language of Symbolic Logic. Over the years, th...Savoir plus
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This book provides a tutorial introduction to modern techniques for representing and reasoning about qualitative preferences with respect to a set of ...Savoir plus
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Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide ...Savoir plus
Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques ...Savoir plus
The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference and behavior...Savoir plus
Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of t...Savoir plus
Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer scie...Savoir plus
Answer Set Programming (ASP) is a declarative problem solving approach, initially tailored to modeling problems in the area of Knowledge Representatio...Savoir plus
Representations are at the heart of artificial intelligence (AI). This book is devoted to the problem of representation discovery: how can an intellig...Savoir plus
Robotics technology has recently advanced to the point of being widely accessible for relatively low-budget research, as well as for graduate, undergr...Savoir plus
Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. This second...Savoir plus
Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in...Savoir plus
General game players are computer systems able to play strategy games based solely on formal game descriptions supplied at "runtime" (n other words, t...Savoir plus
Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of ...Savoir plus
Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown...Savoir plus
The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference and behavior...Savoir plus
Judgment aggregation is a mathematical theory of collective decision-making. It concerns the methods whereby individual opinions about logically inter...Savoir plus
Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past kn...Savoir plus
While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomen...Savoir plus
From its inception, artificial intelligence (AI) has had a rather ambivalent relationship with humans--swinging between their augmentation and replace...Savoir plus