Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems |
| Editors | Sanmay Das, Ed Durfee |
| Place of Publication | New York NY USA |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 1867-1868 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781510855076 |
| Publication status | Published - 2017 |
| Externally published | Yes |
| Event | International Conference on Autonomous Agents and Multiagent Systems 2017 - Sao Paulo, Brazil Duration: 8 May 2017 → 12 May 2017 Conference number: 16th http://www.ifaamas.org/Proceedings/aamas2017/forms/index.htm |
Conference
| Conference | International Conference on Autonomous Agents and Multiagent Systems 2017 |
|---|---|
| Abbreviated title | AAMAS 2017 |
| Country | Brazil |
| City | Sao Paulo |
| Period | 8/05/17 → 12/05/17 |
| Internet address |
Cite this
}
Intent recognition through goal mirroring. / Vered, Mor.
Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems. ed. / Sanmay Das; Ed Durfee. New York NY USA : Association for Computing Machinery (ACM), 2017. p. 1867-1868.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review
TY - GEN
T1 - Intent recognition through goal mirroring
AU - Vered, Mor
PY - 2017
Y1 - 2017
N2 - As the human population and life expectancy increases so does the need for integrating robots and virtual agents closely into everyday human life. These agents may provide care and attention where otherwise the manpower is lacking. In order to create better agents, that interact seamlessly with humans we need to draw lessons from what we know of human social cognition. Designing an agent inspired by these processes will provide an agent that is more predictable, less-threatening and overall welcome to its' human benefactor.
AB - As the human population and life expectancy increases so does the need for integrating robots and virtual agents closely into everyday human life. These agents may provide care and attention where otherwise the manpower is lacking. In order to create better agents, that interact seamlessly with humans we need to draw lessons from what we know of human social cognition. Designing an agent inspired by these processes will provide an agent that is more predictable, less-threatening and overall welcome to its' human benefactor.
UR - http://www.scopus.com/inward/record.url?scp=85046440891&partnerID=8YFLogxK
M3 - Conference Paper
SP - 1867
EP - 1868
BT - Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems
A2 - Das, Sanmay
A2 - Durfee, Ed
PB - Association for Computing Machinery (ACM)
CY - New York NY USA
ER -