Abstract
AI and DAI based planning techniques, suitable for automated manufacturing systems are surveyed and compared. The relation of learning to planning is described and it is explained how learning may be used to improve planning. Several examples are presented. A complete reference list is provided.
Original language | English |
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Pages (from-to) | 201-245 |
Number of pages | 45 |
Journal | Journal of Intelligent & Robotic Systems |
Volume | 13 |
Issue number | 3 |
DOIs | |
Publication status | Published - Jul 1995 |
Keywords
- assemblies
- automated manufacturing systems
- blackboard architectures
- learning
- Planning systems
- rote planning
- theorem proving