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| Four Steps Towards Robust Artificial Intelligence (2020) (arxiv.org) | |
| 2 points by subvertify on Nov 24, 2024 | hide | past | pdf | 1 comment on HN | |
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In plain words: A proposed AI design pairs general-purpose learning with built-in knowledge and step-by-step reasoning, organized around models of how people think. Unlike today's push for ever-larger training sets and more computing power, this mix is argued to yield AI that is richer and more robust. Abstract · The Next Decade in AI: Four Steps Towards Robust Artificial IntelligenceRecent research in artificial intelligence and machine learning has largely emphasized general-purpose learning and ever-larger training sets and more and more compute. In contrast, I propose a hybrid, knowledge-driven, reasoning-based approach, centered around cognitive models, that could provide the substrate for a richer, more robust AI than is currently possible. | |
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> In contrast [to the trend], I propose a hybrid, knowledge-driven, reasoning-based approach, centered around cognitive models