MARC details
000 -LEADER |
fixed length control field |
03537nam a22004575i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20231104114212.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
160108s2015 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783319252322 |
Canceled/invalid ISBN |
978-3-319-25232-2 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-3-319-25232-2 |
Source of number or code |
doi |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
TR-AnTOB |
Language of cataloging |
eng |
Transcribing agency |
TR-AnTOB |
Description conventions |
rda |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.9.D343 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UNF |
Source |
bicssc |
|
Subject category code |
COM021030 |
Source |
bisacsh |
|
Subject category code |
UNF |
Source |
thema |
|
Subject category code |
UYQE |
Source |
thema006.312 |
-- |
23 |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
İngilizce |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Mohammad, Yasser. |
Relator term |
author. |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT |
Title |
Data Mining for Social Robotics : |
Remainder of title |
Toward Autonomously Social Robots / |
Statement of responsibility, etc. |
by Yasser Mohammad, Toyoaki Nishida. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2015. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Cham : |
Name of producer, publisher, distributor, manufacturer |
Springer International Publishing : |
-- |
Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice |
2015. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
490 0# - SERIES STATEMENT |
Series statement |
Advanced Information and Knowledge Processing, |
International Standard Serial Number |
1610-3947 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Preface -- Introduction -- Part I: Time Series Mining -- Mining Time-Series Data -- Change Point Discovery -- Motif Discovery -- Causality Analysis -- Part II: Autonomously Social Robots -- Introduction to Social Robotics -- Imitation and Social Robotics -- Theoretical Foundations -- The Embodied Interactive Control Architecture -- Interacting Naturally -- Interaction Learning through Imitation -- Fluid Imitation -- Learning through Demonstration -- Conclusion -- Index. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
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. . |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Data mining. |
|
Topical term or geographic name entry element |
Artificial intelligence. |
|
Topical term or geographic name entry element |
Data Mining and Knowledge Discovery. |
Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/I18030 |
|
Topical term or geographic name entry element |
Artificial Intelligence. |
Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/I21000 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Nishida, Toyoaki. |
Relator term |
author. |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Materials specified |
Springer eBooks |
Public note |
Online access link to the resource |
Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-319-25232-2">https://doi.org/10.1007/978-3-319-25232-2</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
E-Book |