| 期刊全稱(chēng) | A Hybrid Deliberative Layer for Robotic Agents | | 期刊簡(jiǎn)稱(chēng) | Fusing DL Reasoning | | 影響因子2023 | Ronny Hartanto | | 視頻video | http://file.papertrans.cn/142/141268/141268.mp4 | | 發(fā)行地址 | Develops algorithms and concepts in DL for automatically generating the planning problem.Highlights the need for a deliberative layer in robotics and its role as a planning system of sorts.A novel app | | 學(xué)科分類(lèi) | Lecture Notes in Computer Science | | 圖書(shū)封面 |  | | 影響因子 | The Hybrid Deliberative Layer (HDL) solves the problem that an intelligent agent faces in dealing with a large amount of information which may or may not be useful in generating a plan to achieve a goal. The information, that an agent may need, is acquired and stored in the DL model. Thus, the HDL is used as the main knowledge base system for the agent.In this work, a novel approach which amalgamates Description Logic (DL) reasoning with Hierarchical Task Network (HTN) planning is introduced. An analysis of the performance of the approach has been conducted and the results show that this approach yields significantly smaller planning problem descriptions than those generated by current representations in HTN planning. | | Pindex | Book 2011 |
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