Self-Organising Multi-Agent Systems: Algorithmic Foundations of Cyber-Anarcho-Socialism
Author | : Jeremy Pitt |
Publisher | : World Scientific Publishing Europe Limited |
Total Pages | : 346 |
Release | : 2021-09 |
ISBN-10 | : 1800610424 |
ISBN-13 | : 9781800610422 |
Rating | : 4/5 (422 Downloads) |
Download or read book Self-Organising Multi-Agent Systems: Algorithmic Foundations of Cyber-Anarcho-Socialism written by Jeremy Pitt and published by World Scientific Publishing Europe Limited. This book was released on 2021-09 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is the secret of successful collective action that enables communities to maintain common-pool resources, withstand disasters and make effective decisions? How can this secret be reproduced in algorithmic form and so enable intelligent software processes (agents) to cooperate, collaborate and coordinate? The paradigm of self-organisation has often been observed in the natural sciences and is one of the foundations of sustainable common-pool resource management in economic science and democratic governance in political science. Self-Organising Multi-Agent Systems presents an innovative and systematic approach to transforming theories of economics and politics (and philosophy, psychology, and jurisprudence) into formal specifications of conventional rules. It shows how sets of such rules, called institutions, provide an algorithmic basis for designing and implementing self-organising multi-agent systems for successful collective action in cyber-physical and socio-technical systems. This interdisciplinary book is essential reading for anyone interested in the planned emergence of global properties or commonly-shared values as a product of social construction, knowledge management and political arrangements. Valuable for those studying both computer and social sciences, this book is a gateway to a better understanding of complex system development and social system analysis and an invitation to make the Digital Society better.