Planning chemical syntheses with deep neural networks and symbolic AI.
Marwin H. S. SeglerMike PreussMark P. WallerPublished in: Nat. (2018)
Keyphrases
- neural network
- ai planning
- connectionist systems
- neural learning
- planning systems
- connectionist models
- artificial intelligence
- automated planning
- pattern recognition
- expert systems
- areas of artificial intelligence
- artificial neural networks
- symbolic knowledge
- knowledge representation
- planning problems
- chemical engineering
- intelligent systems
- blocks world
- neural network model
- case based reasoning
- multi layer
- intelligent behavior
- genetic algorithm
- ai systems
- ai community
- fuzzy logic
- computational intelligence
- neural nets
- recurrent neural networks
- connectionist learning
- heuristic search
- back propagation
- multi agent systems
- data sets
- plan generation
- deep learning
- decision theoretic
- motion planning
- feed forward
- radial basis function
- self organizing maps