| contributor author | Nabil A. Kartam | |
| contributor author | Raymond E. Levitt | |
| contributor author | David E. Wilkins | |
| date accessioned | 2017-05-08T21:12:22Z | |
| date available | 2017-05-08T21:12:22Z | |
| date copyright | October 1991 | |
| date issued | 1991 | |
| identifier other | %28asce%290887-3801%281991%295%3A4%28464%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/42705 | |
| description abstract | Generating a plan of correctly sequenced activities to achieve a stated goal under given constraints is a difficult task for either humans or computers. For any realistic planning problem, there are almost infinite combinations of activities that can be generated, of which few—or, in some cases, none—will satisfy the constraints applicable to the problem. Automated planning has been a | |
| publisher | American Society of Civil Engineers | |
| title | Extending Artificial Intelligence Techniques for Hierarchical Planning | |
| type | Journal Paper | |
| journal volume | 5 | |
| journal issue | 4 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)0887-3801(1991)5:4(464) | |
| tree | Journal of Computing in Civil Engineering:;1991:;Volume ( 005 ):;issue: 004 | |
| contenttype | Fulltext | |
