HOME > Detail View

Detail View

Data Mining for social robotics [electronic resource] : toward autonomously social robots

Data Mining for social robotics [electronic resource] : toward autonomously social robots

Material type
E-Book(소장)
Personal Author
Mohammad, Yasser. Nishida, Toyoaki.
Title Statement
Data Mining for social robotics [electronic resource] : toward autonomously social robots / Yasser Mohammad, Toyoaki Nishida.
Publication, Distribution, etc
Cham :   Springer International Publishing :   Imprint: Springer,   2015.  
Physical Medium
1 online resource (xii, 328 p.) : ill. (some col.).
Series Statement
Advanced information and knowledge processing,1610-3947
ISBN
9783319252322
요약
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.
General Note
Title from e-Book title page.  
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Computer science. Data mining. Artificial intelligence.
Short cut
URL
000 00000nam u2200205 a 4500
001 000046038713
005 20200731105809
006 m d
007 cr
008 200728s2015 sz a ob 001 0 eng d
020 ▼a 9783319252322
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a QA76.9.D343
082 0 4 ▼a 006.312 ▼2 23
084 ▼a 006.312 ▼2 DDCK
090 ▼a 006.312
100 1 ▼a Mohammad, Yasser.
245 1 0 ▼a Data Mining for social robotics ▼h [electronic resource] : ▼b toward autonomously social robots / ▼c Yasser Mohammad, Toyoaki Nishida.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2015.
300 ▼a 1 online resource (xii, 328 p.) : ▼b ill. (some col.).
490 1 ▼a Advanced information and knowledge processing, ▼x 1610-3947
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a 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 ▼a 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computer science.
650 0 ▼a Data mining.
650 0 ▼a Artificial intelligence.
700 1 ▼a Nishida, Toyoaki.
830 0 ▼a Advanced information and knowledge processing.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-25232-2
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.312 Accession No. E14028602 Availability Loan can not(reference room) Due Date Make a Reservation Service M

New Arrivals Books in Related Fields