The aim of this chapter is to uncover the beauty and complexity in the world of shepherding as we view it through the lens of Artificial Intelligence (AI) and Autonomous Systems (AS). In the pursuit of imitating human intelligence, AI researchers have made significant and vast contributions over decades. Yet even with such interest and activity from within industry and the academic community, general AI remains out of our reach. By comparison, this book aims for a less ambitious goal in trying to recreate the intelligence of a sheepdog. As our efforts display, even with this seemingly modest goal, there is a plethora of research opportunities where AI and AS still have a long way to go. Let us start this journey by asking the basic questions: what is shepherding and what makes shepherding an interesting problem? How does one design a smart shepherd for swarm guidance? What AI algorithms are required and how are they organised in a cognitive architecture to enable a smart shepherd? How does one design transparent AI for smart shepherding?
Smart Shepherding: Towards Transparent Artificial Intelligence Enabled Human-Swarm Teams
Unmanned Syst. Tech.
2020-09-23
28 pages
Article/Chapter (Book)
Electronic Resource
English
Explainable artificial intelligence , Interpretable artificial intelligence , Transparent artificial intelligence , Shepherding , Swarm control , Swarm guidance , Swarm ontology , Swarm tactics Engineering , Cyber-physical systems, IoT , Communications Engineering, Networks , Robotics and Automation , Artificial Intelligence , Transportation
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