Abstract
The SNePS inference engine is optimized for deductive efficiency, i.e. all beliefs acquired via inference are added to the agent’s beliefs so that future queries may be answered by a retrieval rather than rederivation. An assumption-based truth maintenance system keeps track of the derivation histories of derived beliefs. We show how such an architecture simplifies the ontology of propositional representations of plans; acts; preconditions, and effects of actions. In addition, the deductive efficiency of the basic system automatically extends itself to efficient search of plans, and hierarchical plan decompositions.
| Original language | English |
|---|---|
| Pages (from-to) | 167-177 |
| Number of pages | 11 |
| Journal | Journal of Experimental and Theoretical Artificial Intelligence |
| Volume | 5 |
| Issue number | 2-3 |
| DOIs | |
| State | Published - 1993 |
Keywords
- Acting
- Action representation
- Belief revision
- Inference
- Plan representation
- Propositional knowledge representation
- Reasoning about actions and plans
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