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AI AND THE SINGULARITY : A FALLACY OR A GREAT OPPORTUNITY?
| AI AND THE SINGULARITY : A FALLACY OR A GREAT OPPORTUNITY? |
| Autore | Logan Robert K |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (284 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
abductive reasoning
Accelerated Change access consciousness anthropology apophenia Artificial (General) Intelligence artificial general intelligence Artificial General Intelligence (AGI) artificial intelligence artificial intelligence (AI) Artificial Intelligence (AI) Artificial Social Intelligence (ASI) autogenous intelligence automated journalism bootstrap fallacy cognition competition complexity complexity break complexity fallacy computer computers concept consciousness cooperation cosmic evolution cyborg deep neural networks embodied cognition embodiment emotion evolution experience figure/ground future of news futures futurism and futurology hard science fiction heterogeneity information information friction information quality intelligence intelligent machines intuition language logic love machine evolution and optimization machine learning machine replication meaning media ecology metasystem transitions misinformation models of consciousness networked minds non-axiomatic reasoning system pareidolia patterning patterns percept phenomenal consciousness philosophy philosophy of information recursive self-improvement research focused social network robo-journalism robots self self-modifying software self-organization set theory singularity Singularity skepticism social sciences superintelligence team sports technical singularity technological singularity technological Singularity Technological Singularity Turing test understanding value alignment wisdom writing algorithms |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | AI AND THE SINGULARITY |
| Record Nr. | UNINA-9910557110403321 |
Logan Robert K
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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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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 |
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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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Information Theory and Machine Learning
| Information Theory and Machine Learning |
| Autore | Zheng Lizhong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
supervised classification
independent and non-identically distributed features analytical error probability empirical risk generalization error K-means clustering model compression population risk rate distortion theory vector quantization overfitting information criteria entropy model-based clustering merging mixture components component overlap interpretability time series prediction finite state machines hidden Markov models recurrent neural networks reservoir computers long short-term memory deep neural network information theory local information geometry feature extraction spiking neural network meta-learning information theoretic learning minimum error entropy artificial general intelligence closed-loop transcription linear discriminative representation rate reduction minimax game fairness HGR maximal correlation independence criterion separation criterion pattern dictionary atypicality Lempel–Ziv algorithm lossless compression anomaly detection information-theoretic bounds distribution and federated learning |
| ISBN | 3-0365-5308-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619463403321 |
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Zheng Lizhong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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