001435020 000__ 04825cam\a2200697\i\4500 001435020 001__ 1435020 001435020 003__ OCoLC 001435020 005__ 20230309003832.0 001435020 006__ m\\\\\o\\d\\\\\\\\ 001435020 007__ cr\un\nnnunnun 001435020 008__ 210324s2021\\\\sz\a\\\\o\\\\\001\0\eng\d 001435020 019__ $$a1249943368$$a1253411477 001435020 020__ $$a9783030608989$$q(electronic bk.) 001435020 020__ $$a3030608980$$q(electronic bk.) 001435020 020__ $$a3030608972 001435020 020__ $$a9783030608972 001435020 020__ $$a9783030608996$$q(print) 001435020 020__ $$a3030608999 001435020 020__ $$a9783030609009$$q(print) 001435020 020__ $$a3030609006 001435020 020__ $$z9783030608972 001435020 020__ $$z3030608972 001435020 0243_ $$a9783030608972 001435020 0247_ $$a10.1007/978-3-030-60898-9$$2doi 001435020 035__ $$aSP(OCoLC)1243059025 001435020 040__ $$aYDX$$beng$$epn$$cYDX$$dEBLCP$$dGW5XE$$dOCLCO$$dOCLCF$$dLEATE$$dVT2$$dLIP$$dUKAHL$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ 001435020 049__ $$aISEA 001435020 050_4 $$aQ337.3 001435020 08204 $$a006.3/824$$223 001435020 24500 $$aShepherding UxVs for human-swarm teaming :$$ban artificial intelligence approach to unmanned X vehicles /$$cH.A. Abbass, R.A. Hunjet, editors. 001435020 264_1 $$aCham :$$bSpringer,$$c[2021] 001435020 264_4 $$c©2021 001435020 300__ $$a1 online resource 001435020 336__ $$atext$$btxt$$2rdacontent 001435020 337__ $$acomputer$$bc$$2rdamedia 001435020 338__ $$aonline resource$$bcr$$2rdacarrier 001435020 347__ $$atext file 001435020 347__ $$bPDF 001435020 4901_ $$aUnmanned system technologies 001435020 500__ $$aIncludes index. 001435020 5050_ $$aIntroduction -- Introduction to Shepherding -- Introduction to Human-Swarm Teaming -- Swarm Shepherding on Ground -- Swarm Shepherding in Air -- Swarm Shepherding in Air Traffic Control -- Swarm Shepherding in Sea -- Genetic Algorithms for Optimizing Swarm Shepherding -- Reinforcement Learning for Swarm Shepherding -- Learning Classifier Systems for Swarm Shepherding -- Transparent Learning for Swarm Shepherding -- Ontology-guided Learning for Swarm Shepherding -- Mission Planning for Swarm Shepherding -- Real-Time Human Performance Analysis for Human-Swarm Teaming -- Trust for Human-Swarm Teaming -- Machine Education of Smart Shepherds -- The effect of communication range limits on shepherding performance -- Controlling the controllers: the multi shepherd swarm control problem -- Conclusion. 001435020 506__ $$aAccess limited to authorized users. 001435020 520__ $$aThis book draws inspiration from natural shepherding, whereby a farmer utilizes sheepdogs to herd sheep, to inspire a scalable and inherently human friendly approach to swarm control. The book discusses advanced artificial intelligence (AI) approaches needed to design smart robotic shepherding agents capable of controlling biological swarms or robotic swarms of unmanned vehicles. These smart shepherding agents are described with the techniques applicable to the control of Unmanned X Vehicles (UxVs) including air (unmanned aerial vehicles or UAVs), ground (unmanned ground vehicles or UGVs), underwater (unmanned underwater vehicles or UUVs), and on the surface of water (unmanned surface vehicles or USVs). This book proposes how smart shepherds could be designed and used to guide a swarm of UxVs to achieve a goal while ameliorating typical communication bandwidth issues that arise in the control of multi agent systems. The book covers a wide range of topics ranging from the design of deep reinforcement learning models for shepherding a swarm, transparency in swarm guidance, and ontology-guided learning, to the design of smart swarm guidance methods for shepherding with UGVs and UAVs. The book extends the discussion to human-swarm teaming by looking into the real-time analysis of human data during human-swarm interaction, the concept of trust for human-swarm teaming, and the design of activity recognition systems for shepherding. Presents a comprehensive look at human-swarm teaming; Tackles artificial intelligence techniques for swarm guidance; Provides artificial intelligence techniques for real-time human performance analysis. 001435020 650_0 $$aSwarm intelligence. 001435020 650_0 $$aMultiagent systems. 001435020 650_0 $$aRobots$$xControl systems. 001435020 650_0 $$aVehicles, Remotely piloted. 001435020 650_6 $$aSystèmes multiagents (Intelligence artificielle) 001435020 650_6 $$aRobots$$xSystèmes de commande. 001435020 650_6 $$aVéhicules télécommandés. 001435020 655_0 $$aElectronic books. 001435020 7001_ $$aAbbass, Hussein A.,$$eeditor. 001435020 7001_ $$aHunjet, Robert A.,$$eeditor. 001435020 77608 $$iPrint version:$$tShepherding UxVs for human-swarm teaming.$$dCham : Springer, [2021]$$z9783030608972$$z3030608972$$w(OCoLC)1202594243 001435020 830_0 $$aUnmanned system technologies. 001435020 852__ $$bebk 001435020 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-60898-9$$zOnline Access$$91397441.1 001435020 909CO $$ooai:library.usi.edu:1435020$$pGLOBAL_SET 001435020 980__ $$aBIB 001435020 980__ $$aEBOOK 001435020 982__ $$aEbook 001435020 983__ $$aOnline 001435020 994__ $$a92$$bISE