Intelligence in Scientific Computing.
Abstract
Project objectives were to develop new computer representations and reasoning mechanisms that enable intelligent systems to autonomously design, monitor, and understand complicated physical systems, through appropriate mixtures of numerical and symbolic computing. As part of this research we demonstrated novel computational tools that autonomously monitor, understand, and control complex physical systems. These tools understand the models, monitor the execution of the simulations, and formulate qualitative explanations of the results. These tools interact with their human users in symbolic terms, allowing them to specify qualitative goals for measurement and intelligent control applications.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 31, 1993
- Accession Number
- ADA284410
Entities
People
- Gerald J. Sussman
- Hal Abelson
Organizations
- Massachusetts Institute of Technology