Matches in SemOpenAlex for { <https://semopenalex.org/work/W2169721609> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2169721609 abstract "When the environment is dynamically changed for agents, knowledge acquired from an environment might be useless in the future environments. Therefore, agents should not only acquire new knowledge but also modify or delete old knowledge. However, these modification and deletion are not always efficient in learning. Because the knowledge once acquired in the past can be useful again in the future when the same environment reappears. To learn efficiently in this situation, agents should have memory to store old knowledge. In this paper, we propose an agent architecture that consists of four modules: resource allocating network (PAN), long-term memory (LTM), association buffer (A-Buffer), and environmental change detector (ECD). In LTM, not only acquired knowledge but also the information about which knowledge was produced in the same environment is stored. This information is utilized for recalling the knowledge acquired in the past when the same environment reappears. To evaluate the adaptability in a class of dynamic environments, we apply this model to a simple problem that some target functions to be approximated are changed in turn. As a result, we verify the following adaptability of RAN-ALTM: (1) incremental learning can be stably carried out, (2) environmental changes are correctly detected, (3) fast adaptation is realized by training some of the accumulated knowledge when the past environments reappear." @default.
- W2169721609 created "2016-06-24" @default.
- W2169721609 creator A5000771042 @default.
- W2169721609 creator A5048669520 @default.
- W2169721609 date "2004-06-22" @default.
- W2169721609 modified "2023-09-27" @default.
- W2169721609 title "Incremental learning in dynamic environments using neural network with long-term memory" @default.
- W2169721609 cites W1550736008 @default.
- W2169721609 cites W1570690983 @default.
- W2169721609 cites W1628507877 @default.
- W2169721609 cites W1689445748 @default.
- W2169721609 cites W1991564165 @default.
- W2169721609 cites W2099741167 @default.
- W2169721609 cites W2106304233 @default.
- W2169721609 cites W2114865067 @default.
- W2169721609 cites W2118908934 @default.
- W2169721609 cites W2143956139 @default.
- W2169721609 cites W2158363710 @default.
- W2169721609 doi "https://doi.org/10.1109/ijcnn.2003.1223973" @default.
- W2169721609 hasPublicationYear "2004" @default.
- W2169721609 type Work @default.
- W2169721609 sameAs 2169721609 @default.
- W2169721609 citedByCount "5" @default.
- W2169721609 countsByYear W21697216092018 @default.
- W2169721609 crossrefType "proceedings-article" @default.
- W2169721609 hasAuthorship W2169721609A5000771042 @default.
- W2169721609 hasAuthorship W2169721609A5048669520 @default.
- W2169721609 hasConcept C107457646 @default.
- W2169721609 hasConcept C119857082 @default.
- W2169721609 hasConcept C120665830 @default.
- W2169721609 hasConcept C121332964 @default.
- W2169721609 hasConcept C139807058 @default.
- W2169721609 hasConcept C154945302 @default.
- W2169721609 hasConcept C177606310 @default.
- W2169721609 hasConcept C18903297 @default.
- W2169721609 hasConcept C206345919 @default.
- W2169721609 hasConcept C31258907 @default.
- W2169721609 hasConcept C41008148 @default.
- W2169721609 hasConcept C50644808 @default.
- W2169721609 hasConcept C61797465 @default.
- W2169721609 hasConcept C62520636 @default.
- W2169721609 hasConcept C86803240 @default.
- W2169721609 hasConceptScore W2169721609C107457646 @default.
- W2169721609 hasConceptScore W2169721609C119857082 @default.
- W2169721609 hasConceptScore W2169721609C120665830 @default.
- W2169721609 hasConceptScore W2169721609C121332964 @default.
- W2169721609 hasConceptScore W2169721609C139807058 @default.
- W2169721609 hasConceptScore W2169721609C154945302 @default.
- W2169721609 hasConceptScore W2169721609C177606310 @default.
- W2169721609 hasConceptScore W2169721609C18903297 @default.
- W2169721609 hasConceptScore W2169721609C206345919 @default.
- W2169721609 hasConceptScore W2169721609C31258907 @default.
- W2169721609 hasConceptScore W2169721609C41008148 @default.
- W2169721609 hasConceptScore W2169721609C50644808 @default.
- W2169721609 hasConceptScore W2169721609C61797465 @default.
- W2169721609 hasConceptScore W2169721609C62520636 @default.
- W2169721609 hasConceptScore W2169721609C86803240 @default.
- W2169721609 hasLocation W21697216091 @default.
- W2169721609 hasOpenAccess W2169721609 @default.
- W2169721609 hasPrimaryLocation W21697216091 @default.
- W2169721609 hasRelatedWork W1509618475 @default.
- W2169721609 hasRelatedWork W1525816986 @default.
- W2169721609 hasRelatedWork W1535494315 @default.
- W2169721609 hasRelatedWork W2079893826 @default.
- W2169721609 hasRelatedWork W2098557054 @default.
- W2169721609 hasRelatedWork W2106304233 @default.
- W2169721609 hasRelatedWork W2122417677 @default.
- W2169721609 hasRelatedWork W2124626246 @default.
- W2169721609 hasRelatedWork W2147368400 @default.
- W2169721609 hasRelatedWork W2598247389 @default.
- W2169721609 hasRelatedWork W2783378106 @default.
- W2169721609 hasRelatedWork W2960318045 @default.
- W2169721609 hasRelatedWork W2964332541 @default.
- W2169721609 hasRelatedWork W2994742485 @default.
- W2169721609 hasRelatedWork W3035737301 @default.
- W2169721609 hasRelatedWork W3106576289 @default.
- W2169721609 hasRelatedWork W3116953602 @default.
- W2169721609 hasRelatedWork W3134348699 @default.
- W2169721609 hasRelatedWork W2563664365 @default.
- W2169721609 hasRelatedWork W3018850473 @default.
- W2169721609 isParatext "false" @default.
- W2169721609 isRetracted "false" @default.
- W2169721609 magId "2169721609" @default.
- W2169721609 workType "article" @default.