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

Self-organising Multi-agent Systems: Algorithmic Foundations Of Cyber-anarcho-socialism
Title Self-organising Multi-agent Systems: Algorithmic Foundations Of Cyber-anarcho-socialism PDF eBook
Author Jeremy Pitt
Publisher World Scientific
Pages 400
Release 2021-09-21
Genre Computers
ISBN 1800610440

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The paradigm of self-organisation is fundamental to theories of collective action in economic science and democratic governance in political science. Self-organisation in these social systems critically depends on voluntary compliance with conventional rules: that is, rules which are made up, mutually agreed, and modifiable 'on the fly'. How, then, can we use the self-organisation observed in such social systems as an inspiration for decentralised computer systems, which can face similar problems of coordination, cooperation and collaboration between autonomous peers?Self-Organising Multi-Agent Systems presents an innovative and systematic approach to transforming theories of economics and politics (and elements of philosophy, psychology, and jurisprudence) into an executable logical specification of conventional rules. It shows how sets of such rules, called institutions, provide an algorithmic basis for designing and implementing cyber-physical systems, enabling intelligent software processes (called agents) to 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.This interdisciplinary book is essential reading for anyone interested in the 'planned emergence' of global properties, commonly-shared values or successful collective action, especially as a product of social construction, knowledge management and political arrangements. For those studying both computer science and social sciences, this book offers a radically new gateway to a transformative understanding of complex system development and social system modelling.Understanding how a computational representation of qualitative values like justice and democracy can lead to stability and legitimacy of socio-technical systems is among the most pressing software engineering challenges of modern times. This book can be read as an invitation to make the Digital Society better.Related Link(s)

Artificial Intelligence in Commercial Aviation

Artificial Intelligence in Commercial Aviation
Title Artificial Intelligence in Commercial Aviation PDF eBook
Author Ricardo V. Pilon
Publisher Taylor & Francis
Pages 271
Release 2023-07-10
Genre Transportation
ISBN 100090041X

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This book is a must read for aviation managers and all stakeholders that are interested in improving the business performance of airlines. In this book, the first of its kind on AI in Commercial Aviation, the author outlines how Machine Learning and AI are accelerating and improving the performance of airlines. Moreover, the author shares insights into many new use cases that emerging technology can deliver. He tackles all crucial functions from air navigation, flight operations, to sales, distribution, cargo, retailing, and commercial optimization. He then looks forward to blockchain and the metaverse and its opportunities. With connected devices and the Internet of Everything (IoE), airlines can become retailers, sell, deliver, and service holistic experiences tailored to individuals in real time. This requires airlines to modernize processes and practices supported by decision intelligence (AI) that ingests sophisticated insights and executes service automation in real time. Transforming airlines from a production to a services-based execution also requires departments to be aligned along overriding customer experience and profitability goals. The book demonstrates how AI can be deployed to redesign airline organization as well. The author also describes the next wave of business transformation around the integration of commercial functions using Composite AI at enterprise level. With his holistic understanding and experience in the airline industry, the author provides valuable insights and helps managers understand how to embrace ML and AI and contribute to future commercial aviation and cargo success.

Autonomous Agents and Multi-agent Systems

Autonomous Agents and Multi-agent Systems
Title Autonomous Agents and Multi-agent Systems PDF eBook
Author Jiming Liu
Publisher World Scientific
Pages 308
Release 2001
Genre Computers
ISBN 9789812811844

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An autonomous agent is a computational system that acquires sensory data from its environment and decides by itself how to relate the external stimulus to its behaviors in order to attain certain goals. Responding to different stimuli received from its task environment, the agent may select and exhibit different behavioral patterns. The behavioral patterns may be carefully predefined or dynamically acquired by the agent based on some learning and adaptation mechanism(s). In order to achieve structural flexibility, reliability through redundancy, adaptability, and reconfigurability in real-world tasks, some researchers have started to address the issue of multiagent cooperation. Broadly speaking, the power of autonomous agents lies in their ability to deal with unpredictable, dynamically changing environments. Agent-based systems are becoming one of the most important computer technologies, holding out many promises for solving real-world problems. The aims of this book are to provide a guided tour to the pioneering work and the major technical issues in agent research, and to give an in-depth discussion on the computational mechanisms for behavioral engineering in autonomous agents. Through a systematic examination, the book attempts to provide the general design principles for building autonomous agents and the analytical tools for modeling the emerged behavioral properties of a multiagent system. Contents: Behavioral Modeling, Planning, and Learning; Synthetic Autonomy; Dynamics of Distributed Computation; Self-Organized Autonomy in Multi-Agent Systems; Autonomy-Oriented Computation; Dynamics and Complexity of Autonomy-Oriented Computation. Readership: Undergraduate and graduate students in computer science and most engineering disciplines, as well as computer scientists, engineers, researchers and practitioners in the field of machine intelligence.

Structural Self-Organization in Multi-Agents and Multi-Robotic Systems

Structural Self-Organization in Multi-Agents and Multi-Robotic Systems
Title Structural Self-Organization in Multi-Agents and Multi-Robotic Systems PDF eBook
Author Serge Kernbach
Publisher Logos Verlag Berlin GmbH
Pages 250
Release 2008
Genre Computers
ISBN 3832520481

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This work is about creating desired artificial self-organization in multi-agent and multi-robotic systems. It is demonstrated that emergent phenomena can artificially be designed when to treat collective systems on a new structural level. Examples of desired self-organization, implemented in manufacturing environment and in a large-scale swarm of micro-robots, allow deeper understanding of collective artificial intelligence. The work wins the infos-faculty-award as the best dissertation of 2008.

Engineering Self-Organising Systems

Engineering Self-Organising Systems
Title Engineering Self-Organising Systems PDF eBook
Author Sven Brueckner
Publisher Springer
Pages 221
Release 2007-04-20
Genre Computers
ISBN 354069868X

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This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Engineering Self-Organising Applications, ESOA 2006, held in Hakodate, Japan in May 2006. This was an associated event of AAMAS 2006, the 5th International Joint Conference on Autonomous Agents and Multi-Agent Systems. The seven full papers presented together with six invited papers were carefully selected for inclusion in the book.

Robustness of Hybrid Central/Self-Organising Multi-Agent Systems

Robustness of Hybrid Central/Self-Organising Multi-Agent Systems
Title Robustness of Hybrid Central/Self-Organising Multi-Agent Systems PDF eBook
Author Yaser Chaaban
Publisher Sudwestdeutscher Verlag Fur Hochschulschriften AG
Pages 0
Release 2014
Genre Computers
ISBN 9783838138213

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The Organic Computing initiative aims to build robust, flexible and adaptive technical systems. Future systems shall behave appropriately according to situational needs. But this is not guaranteed in novel systems, which are complex and act in dynamically changing environments. This book aims to investigate the creation of a robust hybrid central/self-organising multi-agent system using the Organic Computing (OC) concept. The new developed methodology (RobustMAS) has the goal of keeping a multi-agent system running at a desired performance level when disturbances occur. The result is an interaction between decentralised mechanisms (autonomous agents) and centralised interventions. This represents a robust hybrid central/self-organising multi-agent system, in which the conflict between a central planning and coordination algorithm on one hand and the autonomy of the agents on the other has to be solved. A traffic intersection without traffic lights was used as an application scenario, where vehicles are driven by agents.

Multi-Agent Systems. Theories, Languages and Applications

Multi-Agent Systems. Theories, Languages and Applications
Title Multi-Agent Systems. Theories, Languages and Applications PDF eBook
Author Chengqi Zhang
Publisher Springer
Pages 202
Release 2005-07-11
Genre Computers
ISBN 3540492410

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