Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2nd International Conference on Biologically Inspired Cognitive Architectures, BICA'11 |
| Publisher | IOS Press |
| Pages | 400-408 |
| Number of pages | 9 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | Second International Conference on Biologically Inspired Cognitive Architectures, BICA'11 - Duration: 1 Jan 2011 → 1 Jan 2011 |
Publication series
| Name | Frontiers in Artificial Intelligence and Applications |
|---|---|
| Volume | 233 |
Conference
| Conference | Second International Conference on Biologically Inspired Cognitive Architectures, BICA'11 |
|---|---|
| Period | 1/01/11 → 1/01/11 |
Fingerprint
Keywords
- Physiological model
- decision making
- effort
- exhaustion
Cite this
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Physiological Model-Based Decision Making on Distribution of Effort over Time. / Treur, J.
Proceedings of the 2nd International Conference on Biologically Inspired Cognitive Architectures, BICA'11. IOS Press, 2011. p. 400-408 (Frontiers in Artificial Intelligence and Applications; Vol. 233).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Physiological Model-Based Decision Making on Distribution of Effort over Time
AU - Treur, J.
PY - 2011
Y1 - 2011
N2 - This paper focuses on a human-like agent model that describes how in high load tasks physiological effort relate to exhaustion and feeling fatigue, and this is used as a form of monitoring the agent's remaining resources. More specifically, it is addressed how based on such an agent model anticipatory model-based decision making can take place in order to obtain an appropriate distribution of effort over time. © 2011 The authors and IOS Press. All rights reserved.
AB - This paper focuses on a human-like agent model that describes how in high load tasks physiological effort relate to exhaustion and feeling fatigue, and this is used as a form of monitoring the agent's remaining resources. More specifically, it is addressed how based on such an agent model anticipatory model-based decision making can take place in order to obtain an appropriate distribution of effort over time. © 2011 The authors and IOS Press. All rights reserved.
KW - Physiological model
KW - decision making
KW - effort
KW - exhaustion
U2 - 10.3233/978-1-60750-959-2-400
DO - 10.3233/978-1-60750-959-2-400
M3 - Conference contribution
T3 - Frontiers in Artificial Intelligence and Applications
SP - 400
EP - 408
BT - Proceedings of the 2nd International Conference on Biologically Inspired Cognitive Architectures, BICA'11
PB - IOS Press
ER -