Overview
- The first book to introduce electronic institutions, a computational analogue coordinating software agents interaction
- Illustrates real-life applications focused on mixed human-agent communities through uHelp, WeCurate and PeerLearn
- Presents a distributed implementation via peer-to-peer networks, featuring contributions from leading AI researchers
Part of the book series: Artificial Intelligence: Foundations, Theory, and Algorithms (AIFTA)
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Keywords
- Artificial Intelligence
- Community Governance
- Electronic Institutions
- Human-Software Agent Communities
- Interaction Protocols
- Multiagent Systems
- Normative Rules
- Online Learning
- Organisational Models
- Peer-to-Peer Electronic Institutions
- PeerFlow
- PeerLearn
- Social Networks
- uHelp
- WeCurate
About this book
This book introduces readers to electronic institutions (EIs), where complex interactions between human or software agents are governed by specified rules, mirroring those found in human organisations. Extending beyond theoretical concepts, the book offers practical applications in real-life scenarios.
Through detailed case studies, such as the uHelp, WeCurate, and PeerLearn platforms, readers understand how electronic institutions may be specified to regulate interactions within mixed human/software agent communities. From coordinating volunteer efforts with a social network, to collectively curating museum exhibits online, and facilitating collaborative learning in an online classroom setting, these applications exemplify the versatility and efficacy of electronic institutions in diverse contexts. The book also presents PeerFlow, a system designed and built for peer-to-peer electronic institutions that provides an intuitive user interface allowing nontechnical users to specify and share institutions.
Featuring contributions from leading researchers in the areas of agent technologies and artificial intelligence, the book will be useful for postgraduates, researchers, and practitioners in these domains. Readers will gain insight into how electronic institutions facilitate autonomous agent interactions while ensuring compliance with predefined rules.
Editors and Affiliations
About the editor
Dr. Nardine Osman is a Tenured Scientist at the Artificial Intelligence Research Institute (IIIA) within the Spanish National Research Council (CSIC). She obtained her Ph.D. (2008) in Computer Science from the University of Edinburgh, UK. Her research in artificial intelligence has centered on multiagent systems, formal verification, normative systems, and trust and reputation. More recently, her focus has been on the topic of value engineering, that is, developing systems that understand human values, reason about them, and ensure behaviour is aligned with those values. She is currently leading the Ethics and AI research line at IIIA-CSIC. Throughout her career, Nardine has authored over 70 peer-reviewed articles in leading international journals and conferences. She is currently a member of the editorial board of the Journal of Artificial Intelligence Research (JAIR) and an associate editor of AI Communications. In the past, she also served as a member of the editorial board of the International Journal of Human-Computer Studies (IJHCS), as well as as vice president, treasurer, and board member of the European Association for Multi-Agent Systems (EURAMAS).
Bibliographic Information
Book Title: Electronic Institutions
Book Subtitle: Applications to uHelp, WeCurate and PeerLearn
Editors: Nardine Osman
Series Title: Artificial Intelligence: Foundations, Theory, and Algorithms
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-319-65604-5Due: 11 November 2024
eBook ISBN: 978-3-319-65605-2Due: 11 November 2024
Series ISSN: 2365-3051
Series E-ISSN: 2365-306X
Edition Number: 1