Self-organising Multi-agent Systems: Algorithmic Foundations Of Cyber-anarcho-socialism

The paradigm of self-organization is fundamental to theories of collective action in economic science and democratic governance. This book provides an innovative and systematic approach to transforming these theories into an executable logical specification of conventional rules, which can be used to design and implement cyber-physical systems that manage themselves in the face of competition for scarce resources. It also provides a basis for implementing socio-technical systems with interacting human and computational intelligences in a way that is sustainable, fair, and legitimate.

Format: Hardback
Length: 400 pages
Publication date: 07 October 2021
Publisher: World Scientific Europe Ltd

The concept of self-organization holds significant importance in the realms of economic science and democratic governance, as it underpins theories of collective action. In these social systems, self-organization relies heavily on voluntary adherence to conventional rules, which are established, mutually agreed upon, and adaptable on the fly. This poses a crucial question: how can we draw inspiration from the self-organization observed in these social systems and apply it to decentralized computer systems, which encounter similar challenges in terms of coordination, cooperation, and collaboration among autonomous peers?

To address this question, Self-Organising Multi-Agent Systems presents a groundbreaking and comprehensive approach. It endeavors to transform theories from various fields, including economics, politics, philosophy, psychology, and jurisprudence, into an executable logical specification of conventional rules. By doing so, it establishes a framework for designing and implementing cyber-physical systems that enable intelligent software processes, known as agents, to autonomously manage themselves in the face of competition for scarce resources. Moreover, this book provides a foundation for developing socio-technical systems that seamlessly integrate human and computational intelligences, promoting sustainable, fair, and legitimate outcomes.

This interdisciplinary book is a must-read for anyone interested in the deliberate emergence of global properties, shared values, or successful collective action, particularly as a result of social construction, knowledge management, and political arrangements. For students studying both computer science and social sciences, this book offers a novel gateway to a transformative understanding of complex system development and social system modeling. By delving into the computational representation of qualitative values, it sheds light on the mechanisms that drive self-organization and collaboration in social systems, offering valuable insights for designing decentralized computer systems that can emulate and enhance these processes.

In conclusion, the paradigm of self-organization plays a pivotal role in understanding collective action in economic science and democratic governance. By leveraging the principles of self-organization observed in social systems, we can develop decentralized computer systems that emulate and enhance these processes, fostering coordination, cooperation, and collaboration among autonomous peers. Through the interdisciplinary lens of Self-Organising Multi-Agent Systems, we gain a deeper understanding of complex system development and social system modeling, paving the way for a more sustainable, fair, and legitimate future.

Weight: 728g
Dimension: 159 x 237 x 30 (mm)
ISBN-13: 9781800610422