iFALCON : a neural architecture for hierarchical planning
Hierarchical planning is an approach of planning by composing and executing hierarchically arranged predefined plans on the fly to solve some problems. This approach commonly relies on a domain expert providing all semantic and structural knowledge. One challenge is how the system deals with incompl...
Saved in:
Main Authors: | Subagdja, Budhitama, Tan, Ah-Hwee |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/98594 http://hdl.handle.net/10220/13656 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
iFALCON: A neural architecture for hierarchical planning
by: SUBAGDJA, Budhitama, et al.
Published: (2012) -
Planning with iFALCON: Towards a neural-network-based BDI agent architecture
by: SUBAGDJA, Budhitama, et al.
Published: (2008) -
A self-organizing neural network architecture for intentional planning agents
by: SUBAGDJA, Budhitama, et al.
Published: (2009) -
Neural modeling of episodic memory : encoding, retrieval, and forgetting
by: Wang, Wenwen, et al.
Published: (2013) -
Real-time hierarchical map segmentation for coordinating multi-robot exploration
by: Luo, Tianze, et al.
Published: (2023)