TY - GEN
T1 - Can evolutionary computing be applied to dementia care?
AU - Sugihara, Taro
N1 - Funding Information:
This work was partially supported by the KAKENHI Project from JSPS (#15K16168, 15H01698, 17KT0084, 17H01950)
Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/7/6
Y1 - 2018/7/6
N2 - In dementia care, caregivers need to respond adequately and in a timely manner to their recipients' needs, which is a challenging problem. As it is difficult to measure the effect of responses with strongly evidenced methods, computational simulation may be a useful means of evaluating the results. This article introduces conceivable cases that may be candidates for simulation.
AB - In dementia care, caregivers need to respond adequately and in a timely manner to their recipients' needs, which is a challenging problem. As it is difficult to measure the effect of responses with strongly evidenced methods, computational simulation may be a useful means of evaluating the results. This article introduces conceivable cases that may be candidates for simulation.
KW - Assistive technologies
KW - Dementia care
KW - Multi-objective optimization
UR - http://www.scopus.com/inward/record.url?scp=85051455837&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051455837&partnerID=8YFLogxK
U2 - 10.1145/3205651.3208234
DO - 10.1145/3205651.3208234
M3 - Conference contribution
AN - SCOPUS:85051455837
T3 - GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
SP - 1849
EP - 1851
BT - GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
PB - Association for Computing Machinery, Inc
T2 - 2018 Genetic and Evolutionary Computation Conference, GECCO 2018
Y2 - 15 July 2018 through 19 July 2018
ER -