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Artificial general intelligence : 14th international conference, AGI 2021, Palo Alto, CA, USA, October 15-18, 2021 : proceedings / / Ben Goertzel, Matthew Iklé, Alexey Potapov (editors)
| Artificial general intelligence : 14th international conference, AGI 2021, Palo Alto, CA, USA, October 15-18, 2021 : proceedings / / Ben Goertzel, Matthew Iklé, Alexey Potapov (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (379 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes in artificial intelligence |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-030-93758-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910523891703321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial general intelligence : 14th international conference, AGI 2021, Palo Alto, CA, USA, October 15-18, 2021 : proceedings / / Ben Goertzel, Matthew Iklé, Alexey Potapov (editors)
| Artificial general intelligence : 14th international conference, AGI 2021, Palo Alto, CA, USA, October 15-18, 2021 : proceedings / / Ben Goertzel, Matthew Iklé, Alexey Potapov (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (379 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes in artificial intelligence |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-030-93758-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464537003316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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 General Intelligence [[electronic resource] ] : 10th International Conference, AGI 2017, Melbourne, VIC, Australia, August 15-18, 2017, Proceedings / / edited by Tom Everitt, Ben Goertzel, Alexey Potapov
| Artificial General Intelligence [[electronic resource] ] : 10th International Conference, AGI 2017, Melbourne, VIC, Australia, August 15-18, 2017, Proceedings / / edited by Tom Everitt, Ben Goertzel, Alexey Potapov |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XI, 275 p. 38 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Mathematical logic Special purpose computers Coding theory Information theory Artificial Intelligence Computer Appl. in Administrative Data Processing Mathematical Logic and Formal Languages Special Purpose and Application-Based Systems Coding and Information Theory |
| ISBN | 3-319-63703-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Architectures -- Mathematical foundations -- Algorithms -- Safety -- Understanding -- Human cognition -- Philosophy. |
| Record Nr. | UNISA-996466471903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial General Intelligence : 10th International Conference, AGI 2017, Melbourne, VIC, Australia, August 15-18, 2017, Proceedings / / edited by Tom Everitt, Ben Goertzel, Alexey Potapov
| Artificial General Intelligence : 10th International Conference, AGI 2017, Melbourne, VIC, Australia, August 15-18, 2017, Proceedings / / edited by Tom Everitt, Ben Goertzel, Alexey Potapov |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XI, 275 p. 38 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Mathematical logic Special purpose computers Coding theory Information theory Artificial Intelligence Computer Appl. in Administrative Data Processing Mathematical Logic and Formal Languages Special Purpose and Application-Based Systems Coding and Information Theory |
| ISBN | 3-319-63703-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Architectures -- Mathematical foundations -- Algorithms -- Safety -- Understanding -- Human cognition -- Philosophy. |
| Record Nr. | UNINA-9910483119703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial General Intelligence [[electronic resource] ] : 8th International Conference, AGI 2015, AGI 2015, Berlin, Germany, July 22-25, 2015, Proceedings / / edited by Jordi Bieger, Ben Goertzel, Alexey Potapov
| Artificial General Intelligence [[electronic resource] ] : 8th International Conference, AGI 2015, AGI 2015, Berlin, Germany, July 22-25, 2015, Proceedings / / edited by Jordi Bieger, Ben Goertzel, Alexey Potapov |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XII, 416 p. 92 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Mathematical logic Pattern recognition Algorithms Application software Software engineering Artificial Intelligence Mathematical Logic and Formal Languages Pattern Recognition Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Software Engineering |
| ISBN | 3-319-21365-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling Motivation in MicroPsi 2 -- Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages -- Scene Based Reasoning -- Anchoring Knowledge in Interaction: Towards a harmonic subsymbolic/symbolic framework and architecture of computational cognition -- Safe Baby AGI -- Observation, Communication and Intelligence in Agent-Based Systems -- Reffective Variants of Solomono Induction and AIXI -- Are there Deep Reasons Underlying the Pathologies of Today's Deep Learning Algorithms? -- Speculative Scientific Inference via Synergetic Combination of Probabilistic Logic and Evolutionary Pattern Recognition -- Stochastic Tasks: Difficulty and Levin Search -- Instrumental Properties of Social Testbeds -- Towards Human-Level Inductive Functional Programming -- Anytime Bounded Rationality -- Ultimate Intelligence Part I: Physical Completeness and Objectivity of Induction -- Towards Emotion in Sigma: From Appraisal to Attention -- Inferring human values for safe AGI design -- Two Attempts to Formalize Counter possible Reasoning in Deterministic Settings -- Bounded Cognitive Resources and Arbitrary Domains -- Using Localization and Factorization to Reduce the Complexity of Reinforcement Learning -- Towards Flexible Task Environments for Comprehensive Evaluation of Artificial Intelligent Systems & Automatic Learners -- Assumptions of Decision-Making Models in AGI -- Issues in Temporal and Causal Inference -- The Space of Possible Mind Designs.-A Definition of Happiness for Reinforcement Learning Agents -- Expression Graphs: Unifying Factor Graphs and Sum-Product Neworks -- Toward tractable universal induction through recursive program learning -- How can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain -- C-tests revisited: back and forth with complexity -- A New View on Grid Cells Beyond the Cognitive Map Hypothesis -- Programming languages and artificial general intelligence -- From Specialized Syntax to General Logic: The Case of Comparatives -- Decision-Making During Language Understanding by Intelligent Agents -- Plan Recovery in Reactive HTNs Using Symbolic Planning -- Optimization Framework with Minimum Description Length Principle for Probabilistic Programming -- Can Machines Learn Logics? -- Comparing Computer Models Solving Number Series Problems -- Emotional Concept Development -- The Cyber-Physical System Approach towards Artificial General Intelligence: The Problem of Verification -- Analysis of Types of Self-Improving Software -- On the Limits of Recursively Self-Improving AGI -- Godel Agents in a Scalable Synchronous Agent Framework. |
| Record Nr. | UNISA-996204582003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial General Intelligence : 8th International Conference, AGI 2015, AGI 2015, Berlin, Germany, July 22-25, 2015, Proceedings / / edited by Jordi Bieger, Ben Goertzel, Alexey Potapov
| Artificial General Intelligence : 8th International Conference, AGI 2015, AGI 2015, Berlin, Germany, July 22-25, 2015, Proceedings / / edited by Jordi Bieger, Ben Goertzel, Alexey Potapov |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XII, 416 p. 92 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Mathematical logic Pattern recognition Algorithms Application software Software engineering Artificial Intelligence Mathematical Logic and Formal Languages Pattern Recognition Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Software Engineering |
| ISBN | 3-319-21365-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling Motivation in MicroPsi 2 -- Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages -- Scene Based Reasoning -- Anchoring Knowledge in Interaction: Towards a harmonic subsymbolic/symbolic framework and architecture of computational cognition -- Safe Baby AGI -- Observation, Communication and Intelligence in Agent-Based Systems -- Reffective Variants of Solomono Induction and AIXI -- Are there Deep Reasons Underlying the Pathologies of Today's Deep Learning Algorithms? -- Speculative Scientific Inference via Synergetic Combination of Probabilistic Logic and Evolutionary Pattern Recognition -- Stochastic Tasks: Difficulty and Levin Search -- Instrumental Properties of Social Testbeds -- Towards Human-Level Inductive Functional Programming -- Anytime Bounded Rationality -- Ultimate Intelligence Part I: Physical Completeness and Objectivity of Induction -- Towards Emotion in Sigma: From Appraisal to Attention -- Inferring human values for safe AGI design -- Two Attempts to Formalize Counter possible Reasoning in Deterministic Settings -- Bounded Cognitive Resources and Arbitrary Domains -- Using Localization and Factorization to Reduce the Complexity of Reinforcement Learning -- Towards Flexible Task Environments for Comprehensive Evaluation of Artificial Intelligent Systems & Automatic Learners -- Assumptions of Decision-Making Models in AGI -- Issues in Temporal and Causal Inference -- The Space of Possible Mind Designs.-A Definition of Happiness for Reinforcement Learning Agents -- Expression Graphs: Unifying Factor Graphs and Sum-Product Neworks -- Toward tractable universal induction through recursive program learning -- How can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain -- C-tests revisited: back and forth with complexity -- A New View on Grid Cells Beyond the Cognitive Map Hypothesis -- Programming languages and artificial general intelligence -- From Specialized Syntax to General Logic: The Case of Comparatives -- Decision-Making During Language Understanding by Intelligent Agents -- Plan Recovery in Reactive HTNs Using Symbolic Planning -- Optimization Framework with Minimum Description Length Principle for Probabilistic Programming -- Can Machines Learn Logics? -- Comparing Computer Models Solving Number Series Problems -- Emotional Concept Development -- The Cyber-Physical System Approach towards Artificial General Intelligence: The Problem of Verification -- Analysis of Types of Self-Improving Software -- On the Limits of Recursively Self-Improving AGI -- Godel Agents in a Scalable Synchronous Agent Framework. |
| Record Nr. | UNINA-9910484379003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||