Cognitive agents integrating rules and reinforcement learning for context-aware decision support
While context-awareness has been found to be effective for decision support in complex domains, most of such decision support systems are hard-coded, incurring significant development efforts. To ease the knowledge acquisition bottleneck, this paper presents a class of cognitive agents based on self...
Saved in:
Main Authors: | TENG, Teck-Hou, TAN, Ah-hwee |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2008
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6664 https://ink.library.smu.edu.sg/context/sis_research/article/7667/viewcontent/CADS___IAT08.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Modelling situation awareness for context‐aware decision support
by: FENG, Yu-Hong, et al.
Published: (2009) -
Cognitive information systems for context-aware decision support
by: Teng, Teck Hou
Published: (2013) -
Modeling human-like non-rationality for social agents
by: KOCHANOWICZ, Jaroslaw, et al.
Published: (2016) -
A Bayesian approach integrating regional and global features for image semantic learning
by: NGUYEN, Luong-Dong, et al.
Published: (2009) -
Global context aware convolutions for 3D point cloud understanding
by: ZHANG, Zhiyuan, et al.
Published: (2020)