The two-volume set Lncs 10046 and 10047 constitutes the proceedings of the 8th International Conference on Social Informatics, SocInfo 2016, held in Bellevue, WA, Usa, in November 2016. The 33 full papers and 34 poster papers presented in this volume were
The two-volume set Lncs 10046 and 10047 constitutes the proceedings of the 8th International Conference on Social Informatics, SocInfo 2016, held in Bellevue, WA, Usa, in November 2016. The 36 full papers and 39 poster papers presented in this volume were
This book constitutes the refereed proceedings of the 8th International Conference on Social Robotics, Icsr 2016, held in Kansas City, MO, Usa, in November 2016. The 98 revised full papers presented were carefully reviewed and selected from 107 submiss
In this presentation of a general theory of systems, Germany´s most prominent and controversial social thinker sets out a contribution to sociology that reworks our understanding of meaning and communication. It closely interrelates such different traditi
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.
Social computing is concerned with the study of social behavior and social c- text based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting, scenario planning, and deep understa- ing of behavior, pat