Fr. 158.00

Models for Intercultural Collaboration and Negotiation

English · Hardback

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Description

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This book is the first to bring together research material from different communities, Computer Science and especially Artificial Intelligence, and Social Sciences, e.g. Anthropology, Social Psychology, Political Science that present ideas and viewpoints, methods and models on inter-cultural collaboration and negotiation.

With increasing globalization of business and science, cultural differences of the parties are an important factor that affects the process and outcomes of collaborative and self-interested interactions. The social science literature on culture as well as human collaboration and negotiation is vast. Most of this literature is devoted to work within the same culture. Artificial intelligence researchers, on the other hand, have developed computational models of cooperation, conflict resolution and negotiation, but paying almost no attention to identifying and modeling cultural factors. In recent years, we have witnessed a great increase in interest in understanding inter-cultural interactions. This has led to increased interest of social scientists and computational scientists in theoretical and experimental analysis of inter-cultural exchanges, modeling and support. Currently, these communities are largely unconnected. There is a great need to bring them together to share research work and experiences, discuss ideas and forge interdisciplinary collaborative relations.

This book will be of interest to researchers from AI/computer science and social/behavioral sciences fields, such as psychology, sociology, communications, organizational science.

List of contents

Gerald F. Goodwin: Forword to the Volume.- Birukou, A., Blanzieri, E., Giorgini, P., & Giunchiglia, F. A: Formal Definition of Culture.- Salazar, M. R., Shuffler, M. L., Bedwell, W. L., and Salas, E.: Toward A Contextualized Cultural Framework.- Turan, N., Dai, T., Sycara, K., Weingart, L.: Toward a Unified Negotiation Framework: Leveraging Strengths in Behavioral and Computational Communities.- Hofstede, G. J., Jonker, C., Werwaart, T. A: Model of Culture in Trading Agents.- Fulmer, C. A., & Gelfand, M. J.: How Do I Trust Thee? Dynamic Trust Patterns and Their Individual and Social Contextual Determinants.- Jassin, K., Sheik, H., Obeid, N., Argo, N., Ginges, J.: Negotiating Cultural Conflicts Over Sacred Values.- Bui-Wrzosinska, L., Gelfand, M. J., Nowak, A., & Severance, L.: Studying trajectories of conflict escalation.- Dudik, M., & Gordon, G. J.: A Game-Theoretic Approach to Modeling Cross-Cultural Negotiation.- Paruchuri, P., Chakraborty, N., Zivan, R., Sycara, K., Dudik, M., & Gordon, G.: POMDP Based Negotiation modeling.- de Raad, W. E., Nowak, A., & Borkowski, W.: Modeling Dynamics of Multicultural Integration and Conflict.

About the author

Katia Sycara received her PhD in Computer Science from Georgia Institute of Technology and holds an Honorary Doctorate from the University of the Aegean (2004). She is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), Fellow of the Institute of Electrical and Electronic Engineers (IEEE) and the recipient of the 2002 ACM/SIGART Agents Research Award. She has given numerous invited talks, and has authored or co-authored more than 300 technical papers dealing with Multiagent Systems, Agents Supporting Human Teams, Human-Agent Interaction, Negotiation, Multi-Agent Learning and the application of these techniques to crisis action planning, scheduling, operations planning and e-commerce. She has served as the Program Chair of the Second International Semantic Web Conference (ISWC 2003), as General Chair of the Second International Conference on Autonomous Agents (Agents 98). She is a founding member and member of the Board of Directors of the International Foundation of Multiagent Systems (IFMAS). She is a founding member of the Semantic Web Science Association, and serves as the US co-chair of the US-Europe Semantic Web Services Initiative.

Michele Gelfand received her PhD from the University of Illinois Urbana-Champaign in 1996. She is President Elect of the International Association of Conflict Management, Past Division Chair of the Conflict Management (CM) Division of the Academy of Management, and Past Treasurer of the International Association for Cross-Cultural Psychology. She organized the program for the CM division in Hawaii in 2005, organized the IACM conference in Cergy, France, in 2001 and in Maryland in 1998, and she co-organized the conference on Negotiation and Culture at the Kellogg School of Management in 2002. She is founding editor of the series Advances in Culture and Psychology, and has published papers on culture and negotiation in the Annual Review of Psychology, Journal of Applied Psychology, Journal of Personality and Social Psychology, Academy of Management Review, and Academy of Management Journal.

Summary

This book is the first to bring together research material from different communities, Computer Science and especially Artificial Intelligence, and Social Sciences, e.g. Anthropology, Social Psychology, Political Science that present ideas and viewpoints, methods and models on inter-cultural collaboration and negotiation.
With increasing globalization of business and science, cultural differences of the parties are an important factor that affects the process and outcomes of collaborative and self-interested interactions. The social science literature on culture as well as human collaboration and negotiation is vast. Most of this literature is devoted to work within the same culture. Artificial intelligence researchers, on the other hand, have developed computational models of cooperation, conflict resolution and negotiation, but paying almost no attention to identifying and modeling cultural factors. In recent years, we have witnessed a great increase in interest in understanding inter-cultural interactions. This has led to increased interest of social scientists and computational scientists in theoretical and experimental analysis of inter-cultural exchanges, modeling and support. Currently, these communities are largely unconnected. There is a great need to bring them together to share research work and experiences, discuss ideas and forge interdisciplinary collaborative relations.
This book will be of interest to researchers from AI/computer science and social/behavioral sciences fields, such as psychology, sociology, communications, organizational science.

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