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Artificial Superintelligence: Coordination & Strategy
| Artificial Superintelligence: Coordination & Strategy |
| Autore | Yampolskiy Roman |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (206 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive learning systems
AGI AI AI alignment AI arms race AI containment AI forecasting AI governance AI risk AI safety AI Thinking AI value alignment AI welfare policies AI welfare science antispeciesism artificial general intelligence artificial intelligence artificial intelligence safety artificial superintelligence artilects ASILOMAR autonomous distributed system Bayesian networks blockchain conflict design for values distributed goals management distributed ledger ethics existential risk explainable AI forecasting AI behavior future-ready Goodhart's Law holistic forecasting framework human-centric reasoning human-in-the-loop judgmental distillation mapping machine learning moral and ethical behavior multi-agent systems pedagogical motif policy making on AI policymaking process predictive optimization safe for design scenario analysis scenario mapping scenario network mapping sentiocentrism simulations specification gaming strategic oversight superintelligence supermorality technological singularity technology forecasting terraforming transformative AI typologies of AI policy value sensitive design VSD |
| ISBN | 3-03921-854-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Artificial Superintelligence |
| Record Nr. | UNINA-9910404084203321 |
Yampolskiy Roman
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Combining Sensors and Multibody Models for Applications in Vehicles, Machines, Robots and Humans
| Combining Sensors and Multibody Models for Applications in Vehicles, Machines, Robots and Humans |
| Autore | Cuadrado Javier |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (256 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D tracking
adaptive Kalman filter characteristic curve computer vision coupled states-inputs estimation curve fitting method digital twin factor graph fault-tolerant soft-landing gait analysis graphical models haptic devices human-in-the-loop hydraulic system inertial sensor inertial sensors Kalman filter Kalman filtering landing configuration motion capture motion control movable repetitive lander multibody based observers multibody dynamics n/a nonlinear models parallel robot parameter estimation physical sensors predictive maintenance product life cycle rail vehicles real-time computation screw theory sensing principles sensor technology and applications sideslip angle estimation signal processing in sensor systems singular configuration slider-crank mechanism smart/intelligent sensors stability optimization symbolic generation track irregularities vehicle dynamics estimation virtual sensing virtual sensoring virtual sensors |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557337203321 |
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Cuadrado Javier
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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