Concept hierarchy memory model: A neural architecture for conceptual knowledge representation, learning, and commonsense reasoning
This article introduces a neural network based cognitive architecture termed Concept Hierarchy Memory Model (CHMM) for conceptual knowledge representation and commonsense reasoning. CHMM is composed of two subnetworks: a Concept Formation Network (CFN), that acquires concepts based on their sensory...
Saved in:
Main Authors: | TAN, Ah-hwee, SOON, Hui-Shin Vivien |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
1996
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/5225 https://ink.library.smu.edu.sg/context/sis_research/article/6228/viewcontent/Concept20Hierarchy20Memory20Model_IJNS96.PDF.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
PrimeNet: a framework for commonsense knowledge representation and reasoning based on conceptual primitives
by: Liu, Qian, et al.
Published: (2024) -
Planning with iFALCON: Towards a neural-network-based BDI agent architecture
by: SUBAGDJA, Budhitama, et al.
Published: (2008) -
Fuzzy commonsense reasoning for multimodal sentiment analysis
by: Chaturvedi, Iti, et al.
Published: (2021) -
Neural architecture search as sparse supernet
by: WU, Y., et al.
Published: (2021) -
Neural architecture search of SPD manifold networks
by: SUKTHANKER, R.S., et al.
Published: (2021)