| Elements of Task Theory
|
2022 |
Belenchia, Matteo |
| The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence
|
2022 |
Bennett, Michael Timothy |
| Parsing Using a Grammar of Word Association Vectors
|
2022 |
Freeman, Robert John |
| The Piagetian Modeler
|
2022 |
Miller, Michael S. P. |
| Epistolution: How a Systems View of Biology May Explain General Intelligence
|
2022 |
Munford, C. S. |
| Adaptive Multi-strategy Market Making Agent
|
2022 |
Raheman, Ali |
| Generalization in Autonomous Learning Controllers
|
2022 |
Eberding,, Causal Arash Sheikhlar, Leonard M. |
| AGI Control Theory
|
2022 |
Yampolskiy, Roman V. |
| The Gap Between Intelligence and Mind
|
2022 |
Xu, Bowen |
| Compression, The Fermi Paradox and Artificial Super-Intelligence
|
2022 |
Bennett, Michael Timothy |
| Symbol Emergence and the Solutions to Any Task
|
2022 |
Bennett, Michael Timothy |
| Measures of Intelligence, Perception and Intelligent Agents
|
2022 |
Özkural, Eray |
| Unsupervised Context-Driven Question Answering Based on Link Grammar
|
2022 |
Ramesh, Vignav |
| On Comparative Analysis of Rule-Based Cognitive Architectures
|
2022 |
Kolonin, Yury |
| The Ecosystem Path to AGI
|
2022 |
Strannegärd, Claes |
| Neural String Diagrams: A Universal Modelling Language for Categorical Deep Learning
|
2022 |
Xu, Tom |
| AGI via Combining Logic with Deep Learning
|
2022 |
Yan, King-Yin |
| Mesarovician Abstract Learning Systems
|
2022 |
Cody, Tyler |
| Goal Generation and Management in NARS
|
2022 |
Hahm, Christian |
| Navigating Conceptual Space; A New Take on AGI
|
2022 |
Leikanger, Per Roald |
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