Journal of Artificial Intelligence Research, Volume 13 (JAIR) PDF Download

Author: Michael Wellman
Publisher: Morgan Kaufmann
ISBN: 9781558608078
Category : Computers
Languages : en
Pages : 0

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Book Description
The paper version of the Journal of Artificial Intelligence Research. JAIR is a refereed journal, covering all areas of Artificial Intelligence, which is distributed free of charge over the internet. The printed journal is published approximately every six months.

Author: Michael Wellman
Publisher: Morgan Kaufmann
ISBN: 9781558608573
Category : Computers
Languages : en
Pages : 400

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Book Description
The paper version of the Journal of Artificial Intelligence Research. JAIR is a refereed journal, covering all areas of Artificial Intelligence, which is distributed free of charge over the internet. The printed journal is published approximately every six months.

Author: Shlomo Zilberstein
Publisher:
ISBN: 9781577356479
Category : Computers
Languages : en
Pages : 762

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Book Description
Established in 1993 as one of the first electronic scientific journals, the Journal of Artificial Intelligence Research (JAIR) includes refereed research articles, survey articles, and technical notes. The journal encompasses all areas of artificial intelligence, including automated reasoning, cognitive modeling, knowledge representation, learning, natural language, neural networks, perception, and robotics. Articles published in JAIR must meet the highest quality standards, as measured by originality and significance of the contribution.

Author: Mykel J. Kochenderfer
Publisher: MIT Press
ISBN: 0262331713
Category : Computers
Languages : en
Pages : 350

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Book Description
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.

Author: Ahmed Rebai
Publisher: BoD – Books on Demand
ISBN: 9533071249
Category : Mathematics
Languages : en
Pages : 446

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Book Description
Bayesian networks are a very general and powerful tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. They provide a language that supports efficient algorithms for the automatic construction of expert systems in several different contexts. The range of applications of Bayesian networks currently extends over almost all fields including engineering, biology and medicine, information and communication technologies and finance. This book is a collection of original contributions to the methodology and applications of Bayesian networks. It contains recent developments in the field and illustrates, on a sample of applications, the power of Bayesian networks in dealing the modeling of complex systems. Readers that are not familiar with this tool, but have some technical background, will find in this book all necessary theoretical and practical information on how to use and implement Bayesian networks in their own work. There is no doubt that this book constitutes a valuable resource for engineers, researchers, students and all those who are interested in discovering and experiencing the potential of this major tool of the century.

Author: Chiang Jao
Publisher: BoD – Books on Demand
ISBN: 9537619648
Category : Computers
Languages : en
Pages : 424

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Book Description
Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference.

Author: Jair Ribeiro
Publisher: Jair Ribeiro
ISBN:
Category : Computers
Languages : en
Pages : 273

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Book Description
This book collects the best articles about several artificial intelligence concepts that I have published online during 2020. It is dedicated to anyone interested in Artificial Intelligence and anyone who wants to understand some of the building blocks that form this fascinating technology. Here, you will find my best articles, updated and revisited, with some more insights, with a suitable format for book readers. The content of this book results from extensive research, long nights of studies, and some of my best years of work in the field in some prestigious enterprise companies in Europe. My goal is to share as much as possible through an affordable, simple, and straightforward language, valuable knowledge that helps you understanding complex topics related to technologies such as Machine Learning, Deep Learning, Analytics, and Autonomous Vehicles, among others. It is a satisfying adventure, I must say. Every day I receive considerably positive feedback, lots of article views, lots of likes, retweets, and more on my social networks and not less, some indications as a top writer, invitations to collaborate in some prestigious online publications. All this is truly motivating. I believe that life is complicated enough, so I consider that every time someone tries to simplify concepts and knowledge useful to humanity, this can be regarded as an essential contribution to inclusiveness and equity in the world. So, this is my mission. This book is not intended to exhaust all the learning needs of those wishing to enter the AI world. It is a starting point composed of some “scattered notes” that will help you put together some valuable pieces of technology's great mosaic. The articles presented here are very beneficial to provide you a practical introduction to some of the most important concepts that many of us face daily. They also will give you some pointers on how to go beyond the first step in search of much more. Just as Dante suggested: “You were not meant to live as ugly, but to seek virtue and knowledge.”

Author: Jair
Publisher: Morgan Kaufmann Pub
ISBN: 9781558609020
Category : Computers
Languages : en
Pages :

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Author: Morgan Kaufmann Publishers
Publisher: Morgan Kaufmann Publishers
ISBN: 9781558607217
Category :
Languages : en
Pages : 440

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Book Description

Author: Craig Boutilier
Publisher:
ISBN: 9781577356493
Category : Computers
Languages : en
Pages : 722

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Book Description
Established in 1993 as one of the first electronic scientific journals, the Journal of Artificial Intelligence Research includes refereed research articles, survey articles, and technical notes. The journal encompasses all areas of artificial intelligence, including automated reasoning, cognitive modeling, knowledge representation, learning, natural language, neural networks, perception, and robotics. Articles published in JAIR must meet the highest quality standards, as measured by originality and significance of the contribution.