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Discrete and Topological Correspondence Theory for Modal MeetImplication Logic and Modal MeetSemilattice Logic in Filter Semantics
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作者 Fei Liang Zhiguang Zhao 《逻辑学研究》 2025年第3期25-66,共42页
In the present paper,we give a systematic study of the discrete correspondence the-ory and topological correspondence theory of modal meet-implication logic and moda1 meet-semilattice logic,in the semantics provided i... In the present paper,we give a systematic study of the discrete correspondence the-ory and topological correspondence theory of modal meet-implication logic and moda1 meet-semilattice logic,in the semantics provided in[21].The special features of the present paper include the following three points:the first one is that the semantic structure used is based on a semilattice rather than an ordinary partial order,the second one is that the propositional vari-ables are interpreted as filters rather than upsets,and the nominals,which are the“first-order counterparts of propositional variables,are interpreted as principal filters rather than principal upsets;the third one is that in topological correspondence theory,the collection of admissi-ble valuations is not closed under taking disjunction,which makes the proof of the topological Ackermann 1emma different from existing settings. 展开更多
关键词 topological correspondence theory SEMILATTICE modal meet implication logic modal meet semilattice logic discrete correspondence theory semantic structure propositional variables filter semantics
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Semantic Region Estimation of Assistant Robot for the Elderly Long-Term Operation in Indoor Environment 被引量:1
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作者 Guanglei Huo Lijun Zhao +1 位作者 Ke Wang Ruifeng Li 《China Communications》 SCIE CSCD 2016年第5期1-15,共15页
In this work, in order to improve spatial recognition abilities for the long-term operation tasks of the assistant robot for the elderly, a novel approach of semantic region estimation is proposed. We define a novel g... In this work, in order to improve spatial recognition abilities for the long-term operation tasks of the assistant robot for the elderly, a novel approach of semantic region estimation is proposed. We define a novel graphbased semantic region descriptions, which are estimated in a dynamically fashion. We propose a two-level update algorithm, namely, Symbols update level and Regions update level. The algorithm firstly adopts particle filter to update weights of the symbols, and then use the Viterbi algorithm to estimate the region the robot stays in based on those weights, optimally. Experimental results demonstrate that our proposed approach can solve problems of the long-term operation and kidnapped robot problem. 展开更多
关键词 service robot semantic region estimation particle filter viterbi algorithm long-term tasks
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