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The Path to Autonomous Learners

arXiv 2211.02403 ↗First posted 4 Nov 2022stat.ML cs.AI cs.CLcited by 0

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Abstract (arXiv)

In this paper, we present a new theoretical approach for enabling domain knowledge acquisition by intelligent systems. We introduce a hybrid model that starts with minimal input knowledge in the form of an upper ontology of concepts, stores and reasons over this knowledge through a knowledge graph database and learns new information through a Logic Neural Network. We study the behavior of this architecture when handling new data and show that the final system is capable of enriching its current knowledge as well as extending it to new domains.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 17 of its 23 references that are in the map. First posted on arXiv 4 Nov 2022.

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References · 17

  1. 2019A Comprehensive Survey on Graph Neural Networkscited by 2,906
  2. 2020A Survey on Knowledge Graphs: Representation, Acquisition and Applicationscited by 643
  3. 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studiescited by 506
  4. 2021Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Surveycited by 457
  5. 2022PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Changecited by 372
  6. 2020Logical Neural Networkscited by 118
  7. 2020Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspectivecited by 93
  8. 2022A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspectivecited by 56
  9. 2022Large Language Models and the Reverse Turing Testcited by 38
  10. 2022Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computingcited by 34
  11. 2022A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metricscited by 26
  12. 2021NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoningcited by 24
5 more
  1. 2021Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterizationcited by 22
  2. 2021A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges aheadcited by 4
  3. 2018Applying the Closed World Assumption to SUMO-based FOL Ontologies for Effective Commonsense Reasoningcited by 2
  4. 2020Semantic Modeling with SUMOcited by 2
  5. 2022Knowledge Engineering in the Long Game of Artificial Intelligence: The Case of Speech Actscited by 1

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