Abstract
The neuroethology is an interdisciplinary study among artificial intelligence, biology and robotics to understand the animal behavior and its underlying neural mechanism. We argue that the neuroethological approach helps understand the general artificial intelligence.
| Original language | English |
|---|---|
| Title of host publication | Artificial General Intelligence - Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010 |
| Pages | 184-185 |
| Number of pages | 2 |
| Publication status | Published - 2010 Jul 5 |
| Event | 3rd Conference on Artificial General Intelligence, AGI 2010 - Lugano, Switzerland Duration: 2010 Mar 5 → 2010 Mar 8 |
Other
| Other | 3rd Conference on Artificial General Intelligence, AGI 2010 |
|---|---|
| Country | Switzerland |
| City | Lugano |
| Period | 10/3/5 → 10/3/8 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
Cite this
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Neuroethological approach to understanding intelligence. / Kim, Dae Eun.
Artificial General Intelligence - Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010. 2010. p. 184-185.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Neuroethological approach to understanding intelligence
AU - Kim, Dae Eun
PY - 2010/7/5
Y1 - 2010/7/5
N2 - The neuroethology is an interdisciplinary study among artificial intelligence, biology and robotics to understand the animal behavior and its underlying neural mechanism. We argue that the neuroethological approach helps understand the general artificial intelligence.
AB - The neuroethology is an interdisciplinary study among artificial intelligence, biology and robotics to understand the animal behavior and its underlying neural mechanism. We argue that the neuroethological approach helps understand the general artificial intelligence.
UR - http://www.scopus.com/inward/record.url?scp=77954131493&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954131493&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:77954131493
SN - 9789078677369
SP - 184
EP - 185
BT - Artificial General Intelligence - Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010
ER -