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| Content Provider | ACM Digital Library |
|---|---|
| Author | Pfefferkorn, Charles E. |
| Abstract | The Designer Problem Solver (DPS) demonstrates that the computer can perform simple design tasks. In particular, it designs furniture and equipment layouts. This task was chosen because it is simple, well defined, and characteristic of many design tasks in architecture, engineering, urban planning, and natural resource management. These space planning tasks usually involve manipulating two-dimensional representations of objects to create feasible or optimal solutions for problems involving topological and metric spatial constraints. The paper describes extensive tests performed on the program.DPS is a heuristic problem solver with a planning phase prefixed to it. It uses the planning process to give it a sense of direction, diagnostic procedures to locate difficulties, and remedial actions to recover from difficulties. It uses a convex polygon representation to accurately describe the objects and the layout. This representation allows topological and metric constraints to be tested and the design to be easily updated.DPS has been applied to 50 problems. While it is slow and limited in scope, the ideas behind it are general. It demonstrates the need for selectivity in controlling search and the methods used to achieve it: task-specific information, planning, diagnostic procedures, remedial actions, and selective alternative generators. |
| Starting Page | 286 |
| Ending Page | 297 |
| Page Count | 12 |
| File Format | |
| ISSN | 00010782 15577317 |
| DOI | 10.1145/360762.360817 |
| Journal | Communications of the ACM (CACM) |
| Volume Number | 18 |
| Issue Number | 5 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-08-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Diagnostic search Design synthesis Spatial representations Heuristics Problem solving Space planning Computer-aided design Planning Representations Artificial intelligence Search strategies |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Computer Science |
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