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About AI Planning
The document discusses planning as problem solving using partial ordered planning (POP). It begins with a review of artificial intelligence approaches and intelligent agents. Planning is introduced as formulating a start state, goal state, and set of actions. POP is described as using a set of steps, ordering constraints, variable binding constraints, and causal links. A POP algorithm works to make an initial plan and then loop to select subgoals, choose operators, and resolve threats until the plan is complete. An example is provided to illustrate a POP plan for buying groceries.
Detailed Information
| Author: | ['AndhiniRSantoso'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 37 |
| Language: | English |
| Format: | |
| Price: | FREE |
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