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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 electronic resource (284 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
technological Singularity
intelligence emotion artificial general intelligence artificial intelligence computer logic figure/ground computers consciousness singularity self futures technological singularity philosophy cosmic evolution anthropology technical singularity non-axiomatic reasoning system metasystem transitions patterns patterning cognition set theory language information abductive reasoning futurism and futurology hard science fiction models of consciousness intelligent machines machine replication machine evolution and optimization Turing test embodiment competition cooperation self-organization robots heterogeneity team sports artificial intelligence (AI) automated journalism robo-journalism writing algorithms future of news media ecology autogenous intelligence bootstrap fallacy recursive self-improvement self-modifying software superintelligence skepticism cyborg evolution love misinformation Technological Singularity Accelerated Change Artificial (General) Intelligence apophenia pareidolia complexity research focused social network networked minds complexity break complexity fallacy philosophy of information machine learning information quality information friction Artificial Intelligence (AI) Artificial General Intelligence (AGI) Artificial Social Intelligence (ASI) social sciences embodied cognition value alignment experience phenomenal consciousness access consciousness percept concept deep neural networks meaning understanding Singularity intuition wisdom |
| 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 electronic resource (206 p.) |
| Soggetto non controllato |
strategic oversight
multi-agent systems autonomous distributed system artificial superintelligence safe for design adaptive learning systems explainable AI ethics scenario mapping typologies of AI policy artificial intelligence design for values distributed goals management scenario analysis Goodhart’s Law specification gaming AI Thinking VSD AI human-in-the-loop value sensitive design future-ready forecasting AI behavior AI arms race AI alignment blockchain artilects policy making on AI distributed ledger AI risk Bayesian networks artificial intelligence safety conflict AI welfare science moral and ethical behavior scenario network mapping policymaking process human-centric reasoning antispeciesism AI forecasting transformative AI ASILOMAR judgmental distillation mapping terraforming pedagogical motif AI welfare policies superintelligence artificial general intelligence supermorality AI value alignment AGI predictive optimization AI safety technological singularity machine learning holistic forecasting framework simulations existential risk technology forecasting AI governance sentiocentrism AI containment |
| 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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