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024 7 _a10.1007/978-3-031-33469-6
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050 4 _aTA347.A78
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072 7 _aCOM004000
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245 1 0 _aArtificial General Intelligence
_h[electronic resource] :
_b16th International Conference, AGI 2023, Stockholm, Sweden, June 16–19, 2023, Proceedings /
_cedited by Patrick Hammer, Marjan Alirezaie, Claes Strannegård.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXI, 368 p. 172 illus., 57 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13921
505 0 _aOn VEI, AGI Pyramid, and Energy: Can AGI Society prevent the Singularity? -- Elements of Cognition for General Intelligence -- Tjøstheim Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms -- On the Computation of Meaning, Language Models and Incomprehensible Horrors -- The Optimal Choice of Hypothesis Is the Weakest, Not the Shortest -- Emergent Causality & the Foundation of Consciousness -- The M Cognitive Meta-Architecture as Touchstone for Standard Modeling of AGI-Level Minds -- Causal reasoning over probabilistic uncertainty -- Probabilistic Logic Networks for Temporal and Procedural Reasoning -- Rational OpenCog Controlled Agent -- Towards Cognitive Bots: Architectural Research Challenges -- Bridging AGI Theory and Practice with Galois Connections -- Comparative Reasoning for Intelligent Agents -- The Ethical Beginnings of a Non-Axiomatic Reasoning System -- Memory system and memory types for real-time reasoning systems -- Stimulus equivalence in NARS -- Lofthouse Context-Rich Evaluation of Machine Common Sense -- Indications of Suitable Algorithms for an AGI -- Adaptive Predictive Portfolio Management Agent -- A Vertical-Horizontal Integrated Neuro-Symbolic Framework towards Artificial General Intelligence -- Rethinking the Physical Symbol Systems Hypothesis -- on relation between facial expressions and emotions -- Evaluation of Pretrained Large Language Models in Embodied Planning Tasks -- Alien versus Natural-like Artificial General Intelligences -- Computing with Categories in Machine Learning -- ADAM: A Prototype of Hierarchical Neuro-symbolic AGI -- Electronic Education Machine AGI -- Can Language Models be used in Multistep Commonsense Planning Domains? -- Explicit Goal-Driven Autonomous Self-Explanation Generation -- Addressing the Unsustainability of Deep Neural Networks With Next-Gen AI -- NUTS, NARS, and Speech -- Computational-level Analysis of Constraint Compliance for General Intelligence -- Comprehension for More Coherent Language Generation -- Purver An adaptive vision architecture for AGI systems -- A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing -- Coherence in intelligent systems.
520 _aThis book constitutes the refereed proceedings of the 16th International Conference on Artificial General Intelligence, AGI 2023, held in Stockholm, Sweden in June 2023. The 35 full papers and one short paper presented in this book were carefully reviewed and selected from 72 submissions. The papers cover topics from foundations of AGI, to AGI approaches and AGI ethics, to the roles of systems biology, goal generation, and learning systems, and so much more.
650 0 _aArtificial intelligence.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 0 _aSoftware engineering.
650 0 _aApplication software.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aSoftware Engineering.
650 2 4 _aComputer and Information Systems Applications.
700 1 _aHammer, Patrick.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAlirezaie, Marjan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aStrannegård, Claes.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031334689
776 0 8 _iPrinted edition:
_z9783031334702
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13921
856 4 0 _uhttps://doi.org/10.1007/978-3-031-33469-6
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