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  1. What’s Next if Reward is Enough? Insights for AGI from Animal Reinforcement Learning

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  2. Fuzzy Networks for Modeling Shared Semantic Knowledge

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  3. Extending Environments to Measure Self-reflection in Reinforcement Learning

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  4. A New Approach to Creation of an Artificial Intellect and Method of its Implementation

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  5. Feature Reinforcement Learning: Part II. Structured MDPs

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  6. The Synthesis and Decoding of Meaning

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  7. Measuring Intelligence and Growth Rate: Variations on Hibbard’s Intelligence Measure

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  8. The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI

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  9. Special Issue “On Defining Artificial Intelligence”—Commentaries and Author’s Response

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  10. Artificial Motivation for Cognitive Software Agents

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  11. Combining Evolution and Learning in Computational Ecosystems

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  12. Intelligence via ultrafilters: structural properties of some intelligence comparators of deterministic Legg-Hutter agents

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  13. On Defining Artificial Intelligence

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  14. Computable Variants of AIXI which are More Powerful than AIXItl

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  15. Learning and decision-making in artificial animals

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  16. Homeostatic Agent for General Environment

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  17. Towards General Evaluation of Intelligent Systems: Lessons Learned from Reproducing AIQ Test Results

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  18. Inverse Meets Distillation: Heterogeneous Teacher–Assistant Dual-Path Learning for Unsupervised Defect Detection

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  19. An Improved Yolo Algorithm Based on Concise Decoupled Head for Real-Time Object Detection in Night Scenarios

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  20. A Visually Explainable Dynamic Similarity Network for Few-Shot Classification

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