Ronald Brachman: 7 books

Book cover of Markov Logic

Markov Logic

An Interface Layer for Artificial Intelligence

by Pedro Domingos, Daniel Lowd, Ronald Brachman
Language: English
Release Date: May 8, 2009

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...
Book cover of Knowledge Representation and Reasoning
by Ronald Brachman, Hector Levesque
Language: English
Release Date: June 17, 2004

Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to...
Book cover of Game Theory for Data Science

Game Theory for Data Science

Eliciting Truthful Information

by Boi Faltings, Goran Radanovic, Ronald Brachman
Language: English
Release Date: September 19, 2017

Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness...
Book cover of Predicting Human Decision-Making

Predicting Human Decision-Making

From Prediction to Action

by Ariel Rosenfeld, Sarit Kraus, Ronald Brachman
Language: English
Release Date: January 22, 2018

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...
Book cover of Multi-Objective Decision Making
by Diederik M. Roijers, Shimon Whiteson, Ronald Brachman
Language: English
Release Date: April 20, 2017

Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but...
Book cover of Lifelong Machine Learning

Lifelong Machine Learning

Second Edition

by Zhiyuan Chen, Bing Liu, Ronald Brachman
Language: English
Release Date: August 14, 2018

Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given...
Book cover of Adversarial Machine Learning
by Yevgeniy Vorobeychik, Murat Kantarcioglu, Ronald Brachman
Language: English
Release Date: August 8, 2018

The increasing abundance of large high-quality datasets, combined with significant technical advances over the last several decades have made machine learning into a major tool employed across a broad array of tasks including vision, language, finance, and security. However, success has been accompanied...
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