| dc.contributor | 傳播學院 | |
| dc.creator (作者) | 侯宗佑 | |
| dc.creator (作者) | Shirado, Hirokazu;Hou, Yoyo Tsung-Yu;Jung, Malte F. | |
| dc.date (日期) | 2023-10 | |
| dc.date.accessioned | 6-Jul-2026 10:16:43 (UTC+8) | - |
| dc.date.available | 6-Jul-2026 10:16:43 (UTC+8) | - |
| dc.date.issued (上傳時間) | 6-Jul-2026 10:16:43 (UTC+8) | - |
| dc.identifier.uri (URI) | https://ah.lib.nccu.edu.tw/item?item_id=183158 | - |
| dc.description.abstract (摘要) | Machines powered by artificial intelligence increasingly permeate social networks with control over resources. However, machine allocation behavior might offer little benefit to human welfare over networks when it ignores the specific network mechanism of social exchange. Here, we perform an online experiment involving simple networks of humans (496 participants in 120 networks) playing a resource-sharing game to which we sometimes add artificial agents (bots). The experiment examines two opposite policies of machine allocation behavior: reciprocal bots, which share all resources reciprocally; and stingy bots, which share no resources at all. We also manipulate the bot’s network position. We show that reciprocal bots make little changes in unequal resource distribution among people. On the other hand, stingy bots balance structural power and improve collective welfare in human groups when placed in a specific network position, although they bestow no wealth on people. Our findings highlight the need to incorporate the human nature of reciprocity and relational interdependence in designing machine behavior in sharing networks. Conscientious machines do not always work for human welfare, depending on the network structure where they interact. | |
| dc.format.extent | 106 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Scientific Reports, Vol.13, No.1, Article number:17957 | |
| dc.title (題名) | Stingy bots can improve human welfare in experimental sharing networks | |
| dc.type (資料類型) | article | |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1038/s41598-023-44883-0 | |
| dc.doi.uri (DOI) | https://doi.org/10.1038/s41598-023-44883-0 | |
