Artificial Intelligence and Machine Learning

SERIES EDITORS:
Ronald Brachman, Yahoo! Labs
William W. Cohen, Carnegie Mellon University
Peter Stone, University of Texas at Austin

Editor Bios

	Human Computation Edith Law, Luis von Ahn Human computation is a new and evolving research area that centers around harnessing human intelligence to solve computational problems that are beyond the scope of existing Artificial Intelligence (AI) algorithms. With the growth of the Web, human c… Publication Date: 01/01/2011 Read More
	Representations and Techniques for 3D Object Recognition and Scene Interpretation Derek Hoiem, Silvio Savarese One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, wi… Publication Date: 01/01/2011 Read More
	Trading Agents Michael Wellman Automated trading in electronic markets is one of the most common and consequential applications of autonomous software agents. Design of effective trading strategies requires thorough understanding of how market mechanisms operate, and appreciation … Publication Date: 01/01/2011 Read More
	Algorithms for Reinforcement Learning Csaba Szepesvari Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. What distinguishes reinforcement learning from supervised learning is th… Publication Date: 01/01/2010 Read More
	Data Integration Michael Genesereth Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world. There are numerous data sources available in organizational databases and on public information systems like the World Wide Web. Not surpris… Publication Date: 01/01/2010 Read More
	Introduction to Semi-Supervised Learning Xiaojin Zhu, Andrew Goldberg 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 both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised… Publication Date: 01/01/2009 Read More
	Markov Logic Pedro Domingos, Daniel Lowd Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface… Publication Date: 01/01/2009 Read More
	Action Programming Languages Michael Thielscher Artificial systems that think and behave intelligently are one of the most exciting and challenging goals of Artificial Intelligence. Action Programming is the art and science of devising high-level control strategies for autonomous systems which emp… Publication Date: 01/01/2008 Read More
	Essentials of Game Theory Kevin Leyton-Brown, Yoav Shoham Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, econo… Publication Date: 01/01/2008 Read More
	Representation Discovery using Harmonic Analysis Sridhar Mahadevan Representations are at the heart of artificial intelligence (AI). This book is devoted to the problem of representation discovery: how can an intelligent system construct representations from its experience? Representation discovery re-parameterizes … Publication Date: 01/01/2008 Read More
	Essentials of Game Theory (E-Book Only) Kevin Leyton-Brown, Yoav Shoham Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, econo… Publication Date: 01/01/2008 Read More
	A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence Nikos Vlassis Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering th… Publication Date: 01/01/2007 Read More
	Intelligent Autonomous Robotics Peter Stone Robotics technology has recently advanced to the point of being widely accessible for relatively low-budget research, as well as for graduate, undergraduate, and even secondary and primary school education. This lecture provides an example of how to … Publication Date: 01/01/2007 Read More