
Adaptive Modelling and Planning
A computational approach for learning intelligent behaviour
Mykel J. Kochenderfer(Author)
LAP Lambert Academic Publishing
Published on 16. September 2010
Book
Paperback/Softback
244 pages
978-3-8383-9400-8 (ISBN)
Description
An intelligent agent must be capable of using its past experience to understand how its actions affect the world. Given some objective, the agent must use its understanding to produce a plan that is robust to uncertainty. This book presents a novel computational framework called the Adaptive Modelling and Planning System (AMPS) that attempts to meet these requirements for intelligence. AMPS generalises from limited experience by grouping together similar states and actions using a process called abstraction. Several different abstraction approaches have been proposed in past, but they generally only increase resolution, require a large amount of data before changing the abstraction, do not generalise over actions, and are computationally expensive. AMPS aims to address these issues by continuously adapting the abstraction in response to experience as it is accumulated and replanning in the regions of the state space where it is needed most.
More details
Language
English
Place of publication
Germany
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 16 mm
Weight
381 gr
ISBN-13
978-3-8383-9400-8 (9783838394008)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Mykel Kochenderfer is a computer scientist at MIT Lincoln Laboratory. He holds a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees from Stanford University.