Intelligent Scientific Computation: Papers from the AAAI Fall Symposium
Elaine Kant, Chair
The purpose of this symposium is to identify the scope of contributions that artificial intelligence has and might make to scientific computing and vice versa. By scientific computing we mean the practical application of computer programs to solve difficult real-world problems such as the super-computer-sized grand challenges (e.g., forecasting severe weather events, predicting superconductors, or modeling turbulent combustion as proposed in the Office of Science and Technology report "Grand Challenges: High Performance Computing and Communications"). These problems often involve the formulation and use of mathematical models in the form of differential equations. We include also the significant improvement of solution techniques or solution time for engineering problems routinely tackled today, such as seismic modeling or ship design. We use the term "scientific computation" broadly to include engineering computation as well.