中文

Efficient Open World Reasoning for Planning

人工智能 2017-01-11 v2 计算机科学中的逻辑

摘要

We consider the problem of reasoning and planning with incomplete knowledge and deterministic actions. We introduce a knowledge representation scheme called PSIPLAN that can effectively represent incompleteness of an agent's knowledge while allowing for sound, complete and tractable entailment in domains where the set of all objects is either unknown or infinite. We present a procedure for state update resulting from taking an action in PSIPLAN that is correct, complete and has only polynomial complexity. State update is performed without considering the set of all possible worlds corresponding to the knowledge state. As a result, planning with PSIPLAN is done without direct manipulation of possible worlds. PSIPLAN representation underlies the PSIPOP planning algorithm that handles quantified goals with or without exceptions that no other domain independent planner has been shown to achieve. PSIPLAN has been implemented in Common Lisp and used in an application on planning in a collaborative interface.

关键词

引用

@article{arxiv.cs/0601032,
  title  = {Efficient Open World Reasoning for Planning},
  author = {Tamara Babaian and James G. Schmolze},
  journal= {arXiv preprint arXiv:cs/0601032},
  year   = {2017}
}

备注

39 pages, 13 figures. to appear in Logical Methods in Computer Science