Synthesis Lectures on Artificial Intelligence and Machine Learning – serie
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54 produkter
Essentials of Game Theory
A Concise Multidisciplinary Introduction
Av Kevin Leyton-Brown, Yoav Shoham
Häftad, 2008
334 kr
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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, economics, linguistics, sociology, and computer …
Statistical Relational Artificial Intelligence
Logic, Probability, and Computation
Av Luc De Raedt, Kristian Kersting m. fl.
Inbunden, 2016
552 kr
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An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied …
Predicting Human Decision-Making
From Prediction to Action
Av Ariel Rosenfeld, Sarit Kraus
Inbunden, 2018
552 kr
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Human decision-making often transcends our formal models of "rationality." Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explore the task of automatically predicting human …
Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
Häftad, 2007
366 kr
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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 the theoretical foundations as well as more recent …
Intelligent Autonomous Robotics
A Robot Soccer Case Study
Av Peter Stone
Häftad, 2007
366 kr
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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 productively use a cutting-edge advanced robotics …
Representation Discovery using Harmonic Analysis
Häftad, 2008
366 kr
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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 the state space - prior to the application of …
Action Programming Languages
Häftad, 2008
312 kr
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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 employ a mental model of their environment and which …
Introduction to Semi-Supervised Learning
Av Xiaojin Zhu, Andrew. B Goldberg
Häftad, 2009
366 kr
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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 paradigm (e.g., clustering, outlier detection) …
Markov Logic
An Interface Layer for Artificial Intelligence
Av Pedro Domingos, Daniel Lowd
Häftad, 2009
366 kr
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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 layer has been missing in AI. First-order logic …
Data Integration
The Relational Logic Approach
Häftad, 2010
366 kr
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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 surprisingly, the sources often use different …
Algorithms for Reinforcement Learning
Häftad, 2010
334 kr
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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 that only partial feedback is given to the learner …
Learning with Support Vector Machines
Av Colin Campbell, Yiming Ying
Häftad, 2011
312 kr
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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 range of applications from recognizing hand-written digits, to face identification, text categorisation, bioinformatics, and database marketing. In …
Visual Object Recognition
Av Kristen Grauman, Bastian Leibe
Häftad, 2011
366 kr
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The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and …
Trading Agents
Häftad, 2011
366 kr
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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 of strategic issues that commonly manifest in …
Human Computation
Häftad, 2011
312 kr
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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 computation systems can now leverage the abilities …
Short Introduction to Preferences
Between AI and Social Choice
Av Francesca Rossi, Kristen Brent Venable m. fl.
Häftad, 2011
312 kr
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Computational social choice is an expanding field that merges classical topics like economics and voting theory with more modern topics like artificial intelligence, multiagent systems, and computational complexity. This book provides a concise introduction to the main research lines in this field, …
Representations and Techniques for 3D Object Recognition and Scene Interpretation
Av Derek Hoiem, Silvio Savarese
Häftad, 2011
388 kr
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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, with a focus on recent efforts to fuse models of …
Computational Aspects of Cooperative Game Theory
Av Georgios Chalkiadakis, Edith Elkind m. fl.
Häftad, 2011
388 kr
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Cooperative game theory is a branch of (micro-)economics that studies the behavior of self-interested agents in strategic settings where binding agreements among agents are possible. Our aim in this book is to present a survey of work on the computational aspects of cooperative game theory. We …
Planning with Markov Decision Processes
An AI Perspective
Av Mausam, Andrey Kolobov
Häftad, 2012
388 kr
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Markov Decision Processes (MDPs) are widely popular in Artificial Intelligence for modeling sequential decision-making scenarios with probabilistic dynamics. They are the framework of choice when designing an intelligent agent that needs to act for long periods of time in an environment where its …
Active Learning
Av Burr Settles
Häftad, 2012
388 kr
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The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose "queries," usually in the form of unlabeled data instances to be labeled by an "oracle" (e.g., a human …
Answer Set Solving in Practice
Av Martin Gebser, Roland Kaminski m. fl.
Häftad, 2012
334 kr
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Answer Set Programming (ASP) is a declarative problem solving approach, initially tailored to modeling problems in the area of Knowledge Representation and Reasoning (KRR). More recently, its attractive combination of a rich yet simple modeling language with high-performance solving capacities has …
Case-Based Reasoning
A Concise Introduction
Häftad, 2013
312 kr
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Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past …
Essential Principles for Autonomous Robotics
Häftad, 2013
366 kr
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From driving, flying, and swimming, to digging for unknown objects in space exploration, autonomous robots take on varied shapes and sizes. In part, autonomous robots are designed to perform tasks that are too dirty, dull, or dangerous for humans. With nontrivial autonomy and volition, they may …
Concise Introduction to Models and Methods for Automated Planning
Häftad, 2013
366 kr
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Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. The main challenges in planning are computational as all models, whether featuring uncertainty and feedback or not, are intractable in the …
Introduction to Intelligent Systems in Traffic and Transportation
Av Ana L.C. Bazzan, Franziska Klügl
Häftad, 2013
366 kr
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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 improve access to other services. Currently, however, there are a number of negative issues related to traffic, especially in mega-cities, such as …
Introduction to Constraint-Based Temporal Reasoning
Av Roman Barták, Robert A. Morris m. fl.
Häftad, 2014
366 kr
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Solving challenging computational problems involving time has been a critical component in the development of artificial intelligence systems almost since the inception of the field. This book provides a concise introduction to the core computational elements of temporal reasoning for use in AI …
Judgment Aggregation
A Primer
Av Davide Grossi, Gabriella Pigozzi
Häftad, 2014
388 kr
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Judgment aggregation is a mathematical theory of collective decision-making. It concerns the methods whereby individual opinions about logically interconnected issues of interest can, or cannot, be aggregated into one collective stance. Aggregation problems have traditionally been of interest for …
General Game Playing
Av Michael Genesereth, Michael Thielscher
Häftad, 2014
388 kr
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General game players are computer systems able to play strategy games based solely on formal game descriptions supplied at "runtime" (n other words, they don't know the rules until the game starts). Unlike specialized game players, such as Deep Blue, general game players cannot rely on algorithms …
Robot Learning from Human Teachers
Av Sonia Chernova, Andrea L. Thomaz
Häftad, 2014
366 kr
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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 …
Graph-Based Semi-Supervised Learning
Av Amarnag Subramanya, Partha Pratim Talukdar
Häftad, 2014
366 kr
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While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of …
