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Combinatorial explosion is a key issue that leads to failures of planning for many planners. To avoid it, we modified the planner of IPP and divided its fact file into several small parts, and the method is called goal-decompounded. We also expanded the arithmetic of IPP. The modified planner we called MF-IPP able to handle multiple fact files, which avoided the combinatorial explosion. We applied...
This paper mainly research the probabilistic planning problems based on the creating or destroying objects. Firstly, a new definition on mutex inference is given, because the objects can be created or destroyed and the actions are uncertainty. We adopt the thought of transforming object into proposition. Secondly, we propose a new concept of concurrent action set and give the algorithm for creating...
At present, the research on planning system mainly focuses on searching a valid planning in the single domain and closed environment, such as the classical planning problem, rocket problem, and briefcase problem and so on. However, in the practical problem with adversarial action planning, this kind of classical planning theory is difficult to apply to complicated and diverse world condition, such...
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