A Heuristic Program to Discover Syntheses for Complex Organic Molecules. AIM-205
Abstract/Contents
- Abstract
Organic Chemical Synthesis is found to be a suitable program for developing
machine intelligence. A previous paper described the objective and global
characteristics of the project. The present article aims to describe the
program organization as a heuristic search, the design of the Problem Solving
Tree and the search procedures in considerable detail. Examples of syntheses
discovered and the problem solving tree developed are given. The programs
are written mostly in PL1(F) applicable to an IBM 360/67 and the timings
(batch mode) indicate that we have fast and efficient practical systems.
Description
| Type of resource | text |
|---|---|
| Form | memorandums |
| Extent | 1 text file |
| Place | Stanford (Calif.) |
| Date created | June 1973 |
| Language | English |
| Digital origin | reformatted digital |
Creators/Contributors
| Author | Sridharan, N. S. |
|---|
Subjects
| Subject | Stanford Artificial Intelligence Laboratory |
|---|---|
| Subject | Memo (Stanford Artificial Intelligence Laboratory) |
| Subject | Artificial intelligence |
| Genre | Memorandums |
Bibliographic information
| Finding Aid | |
|---|---|
| Memo | AIM-205 |
| Location | https://purl.stanford.edu/mg620kg7313 |
| Location | SC1041 |
| Repository | Stanford University. Libraries. Department of Special Collections and University Archives |
Access conditions
- Use and reproduction
- The materials are open for research use and may be used freely for non-commercial purposes with an attribution. For commercial permission requests, please contact the Stanford University Archives (universityarchives@stanford.edu).
- Copyright
- Copyright © The Board of Trustees of the Leland Stanford Junior University. All rights reserved.
Collection
Stanford Artificial Intelligence Laboratory records, 1963-2009
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