The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
π Description
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence Gary Marcus Robust AI 17 February 2020 Abstract Recent 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. THE NEXT DECADE IN AI / GARY MARCUS 2 Table of Contents 1. Towards robust artificial intelligence 3 2. A hybrid, knowledge -driven, cognitive -model -based approach 8 2.1. Hybrid architecture 14 2.2. Large -scale knowledge, some of which is abstract and causal 24 2.3. Reasoning 36 2.4. Cognitive models 40 3. Discussion 47 3.1. Towards an intelligence framed around endu...
π Game Impacts
Not verified in gameWhich variables this event was proposed to move, and in which direction. The magnitudes are held in the corpus but are not shown here, because they have not been verified against the shipped game. They come from pdoom-data. They describe what an event was proposed to do, not what the shipped game does with it. Most events in the corpus are flavour: they are shown for colour and do not move any game variable. Only a small minority reach the systems below, and several of the variables listed here are not read by the game at all yet. Treat this table as a design proposal under review, not as a measurement of play. Corrections and arguments are welcome — the suggestion links at the foot of this page go straight to the data repo.
| Variable | Direction | Condition |
|---|---|---|
| Research | proposed: up | Always |
| Papers | proposed: up | Always |
| Vibey Doom | proposed: up | Always |
π Reactions
"Significant technical contribution"
"Academic research release"
π Sources
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