A probabilistic programming language for influence diagrams

Computer Science

• Bayesian Network 66%
• Decision Problem 33%
• Decision Utility 33%
• Decision Variable 33%
• Influence Diagram 100%
• Likelihood Estimation 33%
• Logic Programming 33%
• maximum-likelihood 33%
• Probable Explanation 33%
• Programmability 33%
• Programming Language 100%
• Reinforcement Learning 33%
• Sequential Model 33%
• Task Programming 33%
• Utility Function 33%
• Variable Function 33%

Chemical Engineering

• Reinforcement Learning 100%
• Scalability 100%