Ulteriori informazioni
This open access book is a multidisciplinary examination of swarm systems including swarm robotics. The book starts with a multidisciplinary consultation performed by the editors with participants from academia, industry and government. The consultation suggested four themes forming parts one to four and grouping the first 16 chapters. Part 1 contains definitions, categorisations and metaphors of swarm systems. Part 2 zooms-in with a behavioural lens on interpretations, narrative theory, and legal frameworks. Part 3 sheds a topological light on cognitive architectures and formations. Part 4 illumes cognitive dimensions on swarm lifelong and curriculum learning and hyper-teaming of swarm systems. The book concludes with future research directions in Part 5. The book is suitable for graduate students and researchers looking for inspiration and novel ideas to explore, or those attempting to understand the diversity of challenges in advanced swarm systems.
Sommario
Part 1 Thinking Swarm: Foundations.- Chapter 1 Thinking about Thinking Swarms.- Chapter 2 Understanding the Roots of Swarm Intelligence in Defence to Find the Path Forward: A Scientometric Study of Autonomous Systems.- Chapter 3 Definitions, Sources and Categorisations for Thinking Swarms.- Chapter 4 A Philosophical Analysis of Thinking Swarms .- Chapter 5 Robots as Research and Drones as War: Unpacking Metaphors from Media Coverage of Swarm Technology.- Part 2 Thinking Swarm: Behaviour.- Chapter 6 Swarm Hermeneutics: A Preliminary Review.- Chapter 7 Identifying and Predicting Hidden Coordinated Behaviour Using Synthetic Language Narrative Models.- Chapter 8 Intelligent Swarming Narratives: Situating Noise within Interacting Information Fields.- Chapter 9 Regulating Maritime Autonomous Swarms.- Chapter 10 An Approach to the Legal Review of Autonomous Swarms: The legal implications for designing thinking swarms in armed conflict.- Part 3 Thinking Swarm: Topology and Architecture.- Chapter 11 Cognitive Architecture of Aware System of Systems.- Chapter 12 Trochoids: Spirograph, Multi-agent Formation and Beyond.- Chapter 13 The Barriers and Opportunities of Effective Underwater Autonomous Swarms.- Part 4 Thinking Swarm: Cognition.- Chapter 14 Introducing Lifelong Learning in Swarm Robotics.- Chapter 15 Learner-centred, Teacher-centred and Blended Curriculum Design in Swarm Systems.- Chapter 16 Hyper-teaming: Adaptive Teaming and Coordination of Multi-domain Autonomous Robotic Systems.- Part 5 Thinking Swarm: Way Forward.- Chapter 17 Future Directions.
Info autore
Simon Ng is Chief Technology Officer at Trusted Autonomous Systems Defence Cooperative Research Centre (TAS-DCRC). Graduating from Monash University with a PhD in 1998, he completed a Post-Doctoral Fellowship at CSIRO before joining DSTG, where he developed techniques for military operations experimentation, and applied systems methods to surveillance and response, space operations and autonomous aerial systems. He was DSTG Group Leader for the Joint Systems Analysis and Aerial Autonomous Systems Groups, and Associate Director of the Defence Science Institute. He was Australia’s National Lead on The Technical Cooperation Program Technical Panel ‘UAS Integration into the Battlespace,’ and is a Graduate of the Australian Institute of Company Directors. His research interests include autonomy and artificial intelligence, robotics, systems science and systems engineering.
Jason B. Scholz is an Innovation Professor, with the Research and Innovation Capability department of the RMIT University, Melbourne, Australia. He was the 2020 recipient of the McNeil Prize for outstanding contributions to the Royal Australian Navy, and is a Graduate Member of the Australian Institute of Company Directors. He was CEO of TAS-DCRC in Australia from 2018 to 2022. He was Chief Scientist and Engineer for TAS-DCRC and holds 34 years of research, development and leadership experience with the Defence Science and Technology Group. His research interests include autonomous systems, artificial intelligence, human-machine command, control and communications, and research translation for impact.
Hussein A. Abbass is a Professor with the School of Systems and Computing, University of New South Wales, Canberra. He is a Fellow of IEEE, a Fellow of the Australian Computer Society, a Fellow of the UK Operational Research Society, a Fellow of the Australian Institute of Managers and Leaders, and a Graduate Member of the Australian Institute of Company Directors. He was the National President (2016-2019) for the Australian Society for Operations Research, the Vice-President for Technical Activities (2016-2019) for the IEEE Computational Intelligence Society, a Distinguished Lecturer (2022-2024) for the IEEE Computational Intelligence Society, and the Founding Editor-in-Chief of the IEEE Transactions on Artificial Intelligence (2020-2024). His current research focuses on trusted quantum-enabled human-AI-swarm teaming systems and distributed and trusted machine learning and machine education systems and algorithms.
Riassunto
This open access book is a multidisciplinary examination of swarm systems including swarm robotics. The book starts with a multidisciplinary consultation performed by the editors with participants from academia, industry and government. The consultation suggested four themes forming parts one to four and grouping the first 16 chapters. Part 1 contains definitions, categorisations and metaphors of swarm systems. Part 2 zooms-in with a behavioural lens on interpretations, narrative theory, and legal frameworks. Part 3 sheds a topological light on cognitive architectures and formations. Part 4 illumes cognitive dimensions on swarm lifelong and curriculum learning and hyper-teaming of swarm systems. The book concludes with future research directions in Part 5. The book is suitable for graduate students and researchers looking for inspiration and novel ideas to explore, or those attempting to understand the diversity of challenges in advanced swarm systems.
