Description: Data Mining for Social Robotics: Toward Autonomously Social Robots (Advanced Information and Knowledge Processing) [Hardcover] Mohammad, Yasser and Nishida, Toyoaki Product Overview This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining. The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by imitating humans using algorithms from time- series analysis and machine learning. The first part provides a comprehensive and structured introduction to time-series analysis, change point discovery, motif discovery and causality analysis focusing on possible applicability to HRI problems. Detailed explanations of all the algorithms involved are provided with open-source implementations in MATLAB enabling the reader to experiment with them. Imitation and simulation are the key technologies used to attain social behavior autonomously in the proposed approach. Part two gives the reader a wide overview of research in these areas in psychology, and ethology. Based on this background, the authors discuss approaches to endow robots with the ability to autonomously learn how to be social. Data Mining for Social Robots will be essential reading for graduate students and practitioners interested in social and developmental robotics. Read more Details Publisher : Springer; 1st ed. 2015 edition (February 10, 2016) Language : English Hardcover : 340 pages ISBN-10 : 3319252305 ISBN-13 : 08 Item Weight : 1.44 pounds Dimensions : 6.14 x 0.81 x 9.21 inches Best Sellers Rank: #12,523,525 in Books (See Top 100 in Books) #4,376 in Data Mining (Books) #6,037 in Database Storage & Design #7,473 in Artificial Intelligence (Books) #4,376 in Data Mining (Books) #6,037 in Database Storage & Design We have been selling used books since 2012, and we've learned that the most important thing is doing good business. Honesty is our policy. Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.
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ISBN: 3319252305
ISBN10: 3319252305
ISBN13: 9783319252308
EAN: 9783319252308
MPN: does not apply
Brand: Springer
GTIN: 09783319252308
Number of Pages: Xii, 328 Pages
Language: English
Publication Name: Data Mining for Social Robots
Publisher: Springer International Publishing A&G
Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, Databases / Data Mining, Robotics
Publication Year: 2016
Type: Textbook
Item Weight: 223.2 Oz
Subject Area: Mathematics, Computers, Technology & Engineering
Author: Toyoaki Nishida, Yasser Mohammad
Item Length: 9.3 in
Series: Advanced Information and Knowledge Processing Ser.
Item Width: 6.1 in
Format: Hardcover
