Matches in SemOpenAlex for { <https://semopenalex.org/work/W2620786522> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2620786522 abstract "We propose a learning and negotiation method to enhance divisional cooperation and demonstrate its robustness to environmental changes in the context of the multi-agent cooperative problem. With the ongoing advances in information and communication technology, we now have access to a vast array of information, and everything has become more closely connected due to innovations such as the Internet of Things. However, this makes the tasks/problems in these environments complicated. In particular, we often require fast decision making and flexible responses to adapt to changes of environment. For these requirements, multi-agent systems have been attracting interest, but the manner in which multiple agents cooperate with each other is a challenging issue because of the computational cost, environmental complexity, and sophisticated interaction required between agents. In this work, we address a problem called the continuous cooperative patrol problem, which requires high autonomy, and propose an autonomous learning method with simple negotiation to enhance divisional cooperation for efficient work. We also investigate how this system can have high robustness, as this is one of the key elements in an autonomous distributed system. We experimentally show that agents with our method generate role sharing in a bottom-up manner for effective divisional cooperation. The results also show that two roles, specialist and generalist, emerged in a bottom-up manner, and these roles enhanced the overall efficiency and the robustness to environmental change." @default.
- W2620786522 created "2017-06-09" @default.
- W2620786522 creator A5035398314 @default.
- W2620786522 creator A5082205147 @default.
- W2620786522 date "2017-01-01" @default.
- W2620786522 modified "2023-09-27" @default.
- W2620786522 title "Improvement of Robustness to Environmental Changes by Autonomous Divisional Cooperation in Multi-agent Cooperative Patrol Problem" @default.
- W2620786522 cites W119501476 @default.
- W2620786522 cites W1504867720 @default.
- W2620786522 cites W2007296123 @default.
- W2620786522 cites W2023025015 @default.
- W2620786522 cites W2053421069 @default.
- W2620786522 cites W2108950458 @default.
- W2620786522 cites W2129755925 @default.
- W2620786522 cites W2130135538 @default.
- W2620786522 cites W2140903796 @default.
- W2620786522 cites W2184410100 @default.
- W2620786522 cites W2578196717 @default.
- W2620786522 cites W48807156 @default.
- W2620786522 doi "https://doi.org/10.1007/978-3-319-59930-4_21" @default.
- W2620786522 hasPublicationYear "2017" @default.
- W2620786522 type Work @default.
- W2620786522 sameAs 2620786522 @default.
- W2620786522 citedByCount "3" @default.
- W2620786522 countsByYear W26207865222018 @default.
- W2620786522 countsByYear W26207865222019 @default.
- W2620786522 crossrefType "book-chapter" @default.
- W2620786522 hasAuthorship W2620786522A5035398314 @default.
- W2620786522 hasAuthorship W2620786522A5082205147 @default.
- W2620786522 hasConcept C104317684 @default.
- W2620786522 hasConcept C110875604 @default.
- W2620786522 hasConcept C112930515 @default.
- W2620786522 hasConcept C120314980 @default.
- W2620786522 hasConcept C136764020 @default.
- W2620786522 hasConcept C13687954 @default.
- W2620786522 hasConcept C154945302 @default.
- W2620786522 hasConcept C17744445 @default.
- W2620786522 hasConcept C185592680 @default.
- W2620786522 hasConcept C199539241 @default.
- W2620786522 hasConcept C199776023 @default.
- W2620786522 hasConcept C41008148 @default.
- W2620786522 hasConcept C41550386 @default.
- W2620786522 hasConcept C55493867 @default.
- W2620786522 hasConcept C63479239 @default.
- W2620786522 hasConcept C65414064 @default.
- W2620786522 hasConcept C71924100 @default.
- W2620786522 hasConceptScore W2620786522C104317684 @default.
- W2620786522 hasConceptScore W2620786522C110875604 @default.
- W2620786522 hasConceptScore W2620786522C112930515 @default.
- W2620786522 hasConceptScore W2620786522C120314980 @default.
- W2620786522 hasConceptScore W2620786522C136764020 @default.
- W2620786522 hasConceptScore W2620786522C13687954 @default.
- W2620786522 hasConceptScore W2620786522C154945302 @default.
- W2620786522 hasConceptScore W2620786522C17744445 @default.
- W2620786522 hasConceptScore W2620786522C185592680 @default.
- W2620786522 hasConceptScore W2620786522C199539241 @default.
- W2620786522 hasConceptScore W2620786522C199776023 @default.
- W2620786522 hasConceptScore W2620786522C41008148 @default.
- W2620786522 hasConceptScore W2620786522C41550386 @default.
- W2620786522 hasConceptScore W2620786522C55493867 @default.
- W2620786522 hasConceptScore W2620786522C63479239 @default.
- W2620786522 hasConceptScore W2620786522C65414064 @default.
- W2620786522 hasConceptScore W2620786522C71924100 @default.
- W2620786522 hasLocation W26207865221 @default.
- W2620786522 hasOpenAccess W2620786522 @default.
- W2620786522 hasPrimaryLocation W26207865221 @default.
- W2620786522 hasRelatedWork W1525772297 @default.
- W2620786522 hasRelatedWork W1994633767 @default.
- W2620786522 hasRelatedWork W2002663148 @default.
- W2620786522 hasRelatedWork W2023025015 @default.
- W2620786522 hasRelatedWork W2112500966 @default.
- W2620786522 hasRelatedWork W2142839172 @default.
- W2620786522 hasRelatedWork W2185154857 @default.
- W2620786522 hasRelatedWork W243849093 @default.
- W2620786522 hasRelatedWork W2500623409 @default.
- W2620786522 hasRelatedWork W2578196717 @default.
- W2620786522 hasRelatedWork W2773227289 @default.
- W2620786522 hasRelatedWork W2904367660 @default.
- W2620786522 hasRelatedWork W2963717208 @default.
- W2620786522 hasRelatedWork W3091845268 @default.
- W2620786522 hasRelatedWork W3185202350 @default.
- W2620786522 hasRelatedWork W3195014486 @default.
- W2620786522 hasRelatedWork W3200847968 @default.
- W2620786522 hasRelatedWork W3209040445 @default.
- W2620786522 hasRelatedWork W2066636176 @default.
- W2620786522 hasRelatedWork W2116916146 @default.
- W2620786522 isParatext "false" @default.
- W2620786522 isRetracted "false" @default.
- W2620786522 magId "2620786522" @default.
- W2620786522 workType "book-chapter" @default.