Adaptive goal selection for agents in dynamic environments
In psychology, goal-setting theory, which has been studied by psychologists for over 35 years, reveals that goals play significant roles in incentive, action and performance for human beings. Based on this theory, a goal net model has been proposed to design intelligent agents that can be viewed as...
Saved in:
Main Authors: | Zhang, Huiliang, Luo, Xudong, Shen, Zhiqi, You, Jin, Miao, Chun Yan |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/96478 http://hdl.handle.net/10220/18110 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Goal-oriented modeling for intelligent agents and their applications
by: Shen, Zhiqi
Published: (2008) -
A general framework for parallel BDI agents in dynamic environments
by: Huang, Shell Ying, et al.
Published: (2011) -
Goal modelling for deep reinforcement learning agents
by: Leung, Jonathan, et al.
Published: (2022) -
Probabilistic-based scheduling for runtime goal sequence of agents
by: Shen, Zhiqi, et al.
Published: (2013) -
Dynamic inference agents : from theory to practice
by: Miao, Chun Yan.
Published: (2008)