- Hardcover: 284 pages
- Publisher: MIT Press (4 April 2000)
- Language English
- ISBN-10: 0262194384
- ISBN-13: 978-0262194389
- Product Dimensions: 23.3 x 15.8 x 2.2 cm
- Amazon Bestsellers Rank: 4,029,665 in Books (See Top 100 in Books)
- See Complete Table of Contents
Did you know you can trade in your old books for an Amazon.co.uk Gift Card to spend on the things you want? Plus, get an extra £5 Gift Certificate when you trade in books worth £10 or more before June 30, 2012. Visit the Books Trade-In Store for more details. |
Product details |
More About the Author
Product Description
Product Description
This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. The book makes four main contributions to the fields of machine learning and multiagent systems.First, it describes an architecture within which a flexible team structure allows member agents to decompose a task into flexible roles and to switch roles while acting. Second, it presents layered learning, a general-purpose machine-learning method for complex domains in which learning a mapping directly from agents' sensors to their actuators is intractable with existing machine-learning methods. Third, the book introduces a new multiagent reinforcement learning algorithm--team-partitioned, opaque-transition reinforcement learning (TPOT-RL)--designed for domains in which agents cannot necessarily observe the state-changes caused by other agents' actions. The final contribution is a fully functioning multiagent system that incorporates learning in a real-time, noisy domain with teammates and adversaries--a computer-simulated robotic soccer team.Peter Stone's work is the basis for the CMUnited Robotic Soccer Team, which has dominated recent RoboCup competitions. RoboCup not only helps roboticists to prove their theories in a realistic situation, but has drawn considerable public and professional attention to the field of intelligent robotics. The CMUnited team won the 1999 Stockholm simulator competition, outscoring its opponents by the rather impressive cumulative score of 110-0.
About the Author
Peter Stone is Assistant Professor of Computer Sciences, Alfred P. Sloan Research Fellow, and Director of the Learning Agents Group, University of Texas at Austin. He is the recipient of the International Joint Conference on Artificial Intelligence (IJCAI) 2007 Computers and Thought Award.
Inside This Book
(Learn More)
First Sentence
Multiagent Systems (MAS) is the subfield of Artificial Intelligence (AI) that aims to provide both principles for construction of complex systems involving multiple agents and mechanisms for coordination of independent agents' behaviors. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt
Multiagent Systems (MAS) is the subfield of Artificial Intelligence (AI) that aims to provide both principles for construction of complex systems involving multiple agents and mechanisms for coordination of independent agents' behaviors. Read the first page
Explore More
Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt
Tag this product(What's this?)Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organise and find favourite items. |
Sell a Digital Version of This Book in the Kindle Store
If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store.
Learn more
Customer Reviews
Listmania!
Look for similar items by category
- Books > Computing & Internet > Computer Science > Artificial Intelligence > Machine Learning
- Books > Computing & Internet > Computer Science > Artificial Intelligence > Robotics
- Books > Computing & Internet > Computer Science > Information Systems
- Books > Computing & Internet > Programming > Algorithms > Artificial Intelligence
- Books > Computing & Internet > Programming > Algorithms > Machine Learning
Look for similar items by subject
Feedback
- Would you like to update product info or give feedback on images?
- I am the Author, and I want to comment on my book.
- I am the Publisher, and I want to comment on this book.
|
