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Artificial General Intelligence [[electronic resource] ] : 13th International Conference, AGI 2020, St. Petersburg, Russia, September 16–19, 2020, Proceedings / / edited by Ben Goertzel, Aleksandr I. Panov, Alexey Potapov, Roman Yampolskiy
| Artificial General Intelligence [[electronic resource] ] : 13th International Conference, AGI 2020, St. Petersburg, Russia, September 16–19, 2020, Proceedings / / edited by Ben Goertzel, Aleksandr I. Panov, Alexey Potapov, Roman Yampolskiy |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 372 p. 91 illus., 39 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Software engineering User interfaces (Computer systems) Artificial Intelligence Software Engineering User Interfaces and Human Computer Interaction |
| ISBN | 3-030-52152-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AGI and the Knight-Darwin Law: why idealized AGI reproduction requires collaboration -- Error-Correction for AI Safety -- Artificial Creativity Augmentation -- The hierarchical memory based on compartmental spiking neuron model -- The Dynamics of Growing Symbols: A Ludics Approach to Language Design by Autonomous Agents -- Approach for development of engineering tools based on knowledge graphs and context separation -- Towards Dynamic Process Composition in the DSO Cognitive Architecture -- SAGE: Task-Environment Platform for Evaluating a Broad Range of AI Learners -- Post-Turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence -- Self-explaining AI as an alternative to interpretable AI -- AGI needs the Humanities -- A report of a recent book: "AI and Human Thought and Emotion" -- Cognitive Machinery and Behaviours -- Combinatorial Decision Dags: A Natural Computational Model for General Intelligence -- What Kind of Programming Language Best Suits Integrative AGI? -- Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities -- Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences -- Delta Schema Network in Model-based Reinforcement Learning -- Information Digital Twin{Enabling Agents to Anticipate Changes in their Tasks -- ‘OpenNARS for Applications’: Architecture and Control -- Towards AGI Agent Safety by Iteratively Improving the Utility Function -- Learning to Model Another Agent's Beliefs: A Preliminary Approach -- An Attentional Control Mechanism for Reasoning and Learning -- Hyperdimensional Representations in Semiotic Approach to AGI -- The Conditions of Artificial General Intelligence: Logic, Autonomy, Resilience, Integrity, Morality, Emotion, Embodiment, and Embeddedness -- Position paper: The use of engineering approach in creation of artificial general intelligence -- How do you test the strength of AI? -- Omega: An Architecture for AI Unification -- Analyzing Elementary School Olympiad Math Tasks as a Benchmark for AGI -- The meaning of things as a concept in a strong AI architecture -- Toward a General Believable Model of Human-Analogous Intelligent Socially Emotional Behavior -- Autonomous Cumulative Transfer Learning -- New Brain Simulator II Open-Source Software -- Experience-specific AGI Paradigms -- Psychological portrait of a virtual agent in the Teleport game paradigm -- Logical probabilistic biologically inspired cognitive architecture -- An Architecture for Real-time Reasoning and Learning -- A Model for Artificial General Intelligence. |
| Record Nr. | UNISA-996418302003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial General Intelligence : 13th International Conference, AGI 2020, St. Petersburg, Russia, September 16–19, 2020, Proceedings / / edited by Ben Goertzel, Aleksandr I. Panov, Alexey Potapov, Roman Yampolskiy
| Artificial General Intelligence : 13th International Conference, AGI 2020, St. Petersburg, Russia, September 16–19, 2020, Proceedings / / edited by Ben Goertzel, Aleksandr I. Panov, Alexey Potapov, Roman Yampolskiy |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 372 p. 91 illus., 39 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Software engineering User interfaces (Computer systems) Artificial Intelligence Software Engineering User Interfaces and Human Computer Interaction |
| ISBN | 3-030-52152-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AGI and the Knight-Darwin Law: why idealized AGI reproduction requires collaboration -- Error-Correction for AI Safety -- Artificial Creativity Augmentation -- The hierarchical memory based on compartmental spiking neuron model -- The Dynamics of Growing Symbols: A Ludics Approach to Language Design by Autonomous Agents -- Approach for development of engineering tools based on knowledge graphs and context separation -- Towards Dynamic Process Composition in the DSO Cognitive Architecture -- SAGE: Task-Environment Platform for Evaluating a Broad Range of AI Learners -- Post-Turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence -- Self-explaining AI as an alternative to interpretable AI -- AGI needs the Humanities -- A report of a recent book: "AI and Human Thought and Emotion" -- Cognitive Machinery and Behaviours -- Combinatorial Decision Dags: A Natural Computational Model for General Intelligence -- What Kind of Programming Language Best Suits Integrative AGI? -- Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities -- Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences -- Delta Schema Network in Model-based Reinforcement Learning -- Information Digital Twin{Enabling Agents to Anticipate Changes in their Tasks -- ‘OpenNARS for Applications’: Architecture and Control -- Towards AGI Agent Safety by Iteratively Improving the Utility Function -- Learning to Model Another Agent's Beliefs: A Preliminary Approach -- An Attentional Control Mechanism for Reasoning and Learning -- Hyperdimensional Representations in Semiotic Approach to AGI -- The Conditions of Artificial General Intelligence: Logic, Autonomy, Resilience, Integrity, Morality, Emotion, Embodiment, and Embeddedness -- Position paper: The use of engineering approach in creation of artificial general intelligence -- How do you test the strength of AI? -- Omega: An Architecture for AI Unification -- Analyzing Elementary School Olympiad Math Tasks as a Benchmark for AGI -- The meaning of things as a concept in a strong AI architecture -- Toward a General Believable Model of Human-Analogous Intelligent Socially Emotional Behavior -- Autonomous Cumulative Transfer Learning -- New Brain Simulator II Open-Source Software -- Experience-specific AGI Paradigms -- Psychological portrait of a virtual agent in the Teleport game paradigm -- Logical probabilistic biologically inspired cognitive architecture -- An Architecture for Real-time Reasoning and Learning -- A Model for Artificial General Intelligence. |
| Record Nr. | UNINA-9910413447603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence [[electronic resource] ] : 5th RAAI Summer School, Dolgoprudny, Russia, July 4–7, 2019, Tutorial Lectures / / edited by Gennady S. Osipov, Aleksandr I. Panov, Konstantin S. Yakovlev
| Artificial Intelligence [[electronic resource] ] : 5th RAAI Summer School, Dolgoprudny, Russia, July 4–7, 2019, Tutorial Lectures / / edited by Gennady S. Osipov, Aleksandr I. Panov, Konstantin S. Yakovlev |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (x, 174 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Software engineering Artificial Intelligence Information Systems and Communication Service Software Engineering/Programming and Operating Systems Theory of Computation |
| ISBN | 3-030-33274-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hybrid Intelligent Systems Based on Fuzzy Logic and Deep Learning -- Data Science: Similarity, Dissimilarity and Correlation Functions,- Mathematical Foundation of Cognitive Computing Based Artificial Intelligence -- A Review of Motivational Systems and Emotions in Cognitive Architectures and Systems -- Selected Challenges in Grammar-based Text Generation from the Semantic Web -- Multi-Agent Path Finding - An Overview -- The Use of Reinforcement Learning in the Task of Moving Objects with the Robotic Arm -- Ontology Models in Intelligent System Engineering: A Case of the Knowledge-intensive Application domain -- Automated Acquisition, Representation and Processing of Temporal Knowledge in Dynamic Intelligent Systems -- Natural Language Processing with DeepPavlov Library and Additional Semantic Features -- Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes. . |
| Record Nr. | UNISA-996466275703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence : 17th Russian Conference, RCAI 2019, Ulyanovsk, Russia, October 21–25, 2019, Proceedings / / edited by Sergei O. Kuznetsov, Aleksandr I. Panov
| Artificial Intelligence : 17th Russian Conference, RCAI 2019, Ulyanovsk, Russia, October 21–25, 2019, Proceedings / / edited by Sergei O. Kuznetsov, Aleksandr I. Panov |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIII, 378 p. 182 illus., 57 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Mathematical logic Software engineering Artificial Intelligence Mathematical Logic and Formal Languages Software Engineering |
| ISBN | 3-030-30763-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multi-agent Systems, Intelligent Robots and Behaviour Planning -- Automated Reasoning and Data Mining -- Natural Language Processing and Understanding of Texts -- Fuzzy Models and Soft Computing -- Intelligent Systems and Applications. |
| Record Nr. | UNINA-9910349275303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence : 5th RAAI Summer School, Dolgoprudny, Russia, July 4–7, 2019, Tutorial Lectures / / edited by Gennady S. Osipov, Aleksandr I. Panov, Konstantin S. Yakovlev
| Artificial Intelligence : 5th RAAI Summer School, Dolgoprudny, Russia, July 4–7, 2019, Tutorial Lectures / / edited by Gennady S. Osipov, Aleksandr I. Panov, Konstantin S. Yakovlev |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (x, 174 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Software engineering Artificial Intelligence Information Systems and Communication Service Software Engineering/Programming and Operating Systems Theory of Computation |
| ISBN | 3-030-33274-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hybrid Intelligent Systems Based on Fuzzy Logic and Deep Learning -- Data Science: Similarity, Dissimilarity and Correlation Functions,- Mathematical Foundation of Cognitive Computing Based Artificial Intelligence -- A Review of Motivational Systems and Emotions in Cognitive Architectures and Systems -- Selected Challenges in Grammar-based Text Generation from the Semantic Web -- Multi-Agent Path Finding - An Overview -- The Use of Reinforcement Learning in the Task of Moving Objects with the Robotic Arm -- Ontology Models in Intelligent System Engineering: A Case of the Knowledge-intensive Application domain -- Automated Acquisition, Representation and Processing of Temporal Knowledge in Dynamic Intelligent Systems -- Natural Language Processing with DeepPavlov Library and Additional Semantic Features -- Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes. . |
| Record Nr. | UNINA-9910349272203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||