Quantitative symbolic process models are proposed as a high-level model representation for probabilistic causal knowledge and know-how. These representations have suitable expressive power and mathematical foundation to serve as an abstraction of intelligence in much of AI research.

List of organizers of the AAAI Fall Symposium, How SHould Intelligence Be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or _____?

Quantitative symbolic process models are proposed as a high-level model representation for probabilistic causal knowledge and know-how. These representations have suitable expressive power and mathematical foundation to serve as an abstraction of intelligence in much of AI research.