Abstract is missing.
- Reward-Punishment Symmetric Universal IntelligenceSamuel Allen Alexander, Marcus Hutter. 1-10 [doi]
- AGI Brain II: The Upgraded Version with Increased Versatility IndexMohammadreza Alidoust. 11-18 [doi]
- Elements of Task TheoryMatteo Belenchia, Kristinn R. Thórisson, Leonard M. Eberding, Arash Sheikhlar. 19-29 [doi]
- Symbol Emergence and the Solutions to Any TaskMichael Timothy Bennett. 30-40 [doi]
- Compression, The Fermi Paradox and Artificial Super-IntelligenceMichael Timothy Bennett. 41-44 [doi]
- The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General IntelligenceMichael Timothy Bennett, Yoshihiro Maruyama. 45-54 [doi]
- Mesarovician Abstract Learning SystemsTyler Cody. 55-64 [doi]
- About the Intricacy of TasksLeonard M. Eberding, Matteo Belenchia, Arash Sheikhlar, Kristinn R. Thórisson. 65-74 [doi]
- Experiments on the Generalization of Machine Learning AlgorithmsArthur Franz. 75-85 [doi]
- Parsing Using a Grammar of Word Association VectorsRobert John Freeman. 86-95 [doi]
- Goal Generation and Management in NARSChristian Hahm, Boyang Xu, Pei Wang. 96-105 [doi]
- Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional EnvironmentsAnton Kolonin. 106-115 [doi]
- Navigating Conceptual Space; A New Take on AGIPer Roald Leikanger. 116-126 [doi]
- Categorical Artificial Intelligence: The Integration of Symbolic and Statistical AI for Verifiable, Ethical, and Trustworthy AIYoshihiro Maruyama. 127-138 [doi]
- Moral Philosophy of Artificial General Intelligence: Agency and ResponsibilityYoshihiro Maruyama. 139-150 [doi]
- The Piagetian ModelerMichael S. P. Miller. 151-162 [doi]
- Epistolution: How a Systems View of Biology May Explain General IntelligenceC. S. Munford. 163-173 [doi]
- Measures of Intelligence, Perception and Intelligent AgentsEray Özkural. 174-183 [doi]
- Univalent Foundations of AGI are (not) All You NeedAlexey Potapov, Vitaly Bogdanov. 184-195 [doi]
- Biological Intelligence Considered in Terms of Physical Structures and PhenomenaSaty Raghavachary. 196-203 [doi]
- Adaptive Multi-strategy Market Making AgentAli Raheman, Anton Kolonin, Ikram Ansari. 204-209 [doi]
- Unsupervised Context-Driven Question Answering Based on Link GrammarVignav Ramesh, Anton Kolonin. 210-220 [doi]
- A Virtual Actor Behavior Model Based on Emotional Biologically Inspired Cognitive ArchitectureAlexei V. Samsonovich. 221-227 [doi]
- Causal Generalization in Autonomous Learning ControllersArash Sheikhlar, Leonard M. Eberding, Kristinn R. Thórisson. 228-238 [doi]
- AI Future: From Internal Vectors to Simple Objects States Subspaces MapsVladimir Smolin. 239-249 [doi]
- A Thousand Brains and a Million TheoriesGrace Solomonoff. 250-260 [doi]
- The Role of Bio-Inspired Modularity in General LearningRachel A. StClair, William Edward Hahn, Elan Barenholtz. 261-268 [doi]
- The Ecosystem Path to AGIClaes Strannegård, Niklas Engsner, Pietro Ferrari, Hans Glimmerfors, Marcus Hilding Södergren, Tobias Karlsson, Birger Kleve, Victor Skoglund. 269-278 [doi]
- On Comparative Analysis of Rule-Based Cognitive ArchitecturesYurii A. Kolonin, Evgenii Vityaev. 279-282 [doi]
- 20NAR1 - An Alternative NARS Implementation DesignRobert Wünsche. 283-291 [doi]
- The Gap Between Intelligence and MindBowen Xu, Xinyi Zhan, Quansheng Ren. 292-305 [doi]
- Neural String Diagrams: A Universal Modelling Language for Categorical Deep LearningTom Xu, Yoshihiro Maruyama. 306-315 [doi]
- AGI Control TheoryRoman V. Yampolskiy. 316-326 [doi]
- AGI via Combining Logic with Deep LearningKing-Yin Yan. 327-343 [doi]
- Case-Based Task Generalization in Model-Based Reinforcement LearningArtem Zholus, Aleksandr I. Panov. 344-354 [doi]
- PySigma: Towards Enhanced Grand Unification for the Sigma Cognitive ArchitectureJincheng Zhou, Volkan Ustun. 355-366 [doi]