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Multi-Agent Systems 2019
| Multi-Agent Systems 2019 |
| Autore | Omicini Andrea |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (274 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
multi-robot
consensus problem formation control noise time delay unmanned surface vehicles multi-agent system training system genetic-based fuzzy rule learning intelligent autonomous control modeling and simulation multi-agent systems smart city development spatiotemporal modeling actor–network theory geoparticipation social interactions simulation model photovoltaic energy parameter fine-tuning self-reported behaviour predictive model multi-agent planning and scheduling potential game equilibrium selection interoperability multiagent systems organizational models agent-based collective intelligence multi-agent complex systems scale-free properties power law distribution biologically inspired approaches and methods collective foraging physics-based simulation methodologies for agent-based systems multi-robot simulation discrete event simulator agent and multi-agent applications classification prediction multi-agent wisdom-of-crowds Hollywood feature-extension collective-intelligence swarm educational games game design situated psychological agents education competences decision support system agent based modeling and simulation production scheduling green coffee supply chain agent-based modeling agent-based simulation decision support |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557677303321 |
Omicini Andrea
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Swarm Robotics
| Swarm Robotics |
| Autore | Spezzano Giandomenico |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (310 p.) |
| Soggetto non controllato |
self-organization
signal source localization multi-robot system sensor deployment parallel technique shape normalization genetic algorithm multiple robots optimization improved potential field optimal configuration autonomous docking asymmetrical interaction comparison behaviors patterns self-assembly robots congestion control surface-water environment target recognition coordinate motion UAV swarms formation reconfiguration swarm robotics swarm intelligence artificial bee colony algorithm obstacle avoidance fish swarm optimization search algorithm robotics time-difference-of-arrival (TDOA) formation mobile robots formation control meta-heuristic event-triggered communication search virtual structure 3D model identification surveillance event-driven coverage scale-invariant feature transform system stability Swarm intelligence algorithm bionic intelligent algorithm unmanned aerial vehicle underwater environment artificial flora (AF) algorithm swarm behavior weighted implicit shape representation Cramer-Rao low bound (CRLB) environmental perception particle swarm optimization modular robots cooperative target hunting virtual linkage multi-AUV consensus control panoramic view nonlinear disturbance observer sliding mode controller path optimization Swarm Chemistry multi-agents |
| ISBN | 3-03897-923-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674019203321 |
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Spezzano Giandomenico
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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