Hypergraph-Based Recognition Memory Model for Lifelong Experience
Joint Authors
Kim, Hyoungnyoun
Park, Ji-Hyung
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-13
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Cognitive agents are expected to interact with and adapt to a nonstationary dynamic environment.
As an initial process of decision making in a real-world agent interaction, familiarity judgment leads the following processes for intelligence.
Familiarity judgment includes knowing previously encoded data as well as completing original patterns from partial information, which are fundamental functions of recognition memory.
Although previous computational memory models have attempted to reflect human behavioral properties on the recognition memory, they have been focused on static conditions without considering temporal changes in terms of lifelong learning.
To provide temporal adaptability to an agent, in this paper, we suggest a computational model for recognition memory that enables lifelong learning.
The proposed model is based on a hypergraph structure, and thus it allows a high-order relationship between contextual nodes and enables incremental learning.
Through a simulated experiment, we investigate the optimal conditions of the memory model and validate the consistency of memory performance for lifelong learning.
American Psychological Association (APA)
Kim, Hyoungnyoun& Park, Ji-Hyung. 2014. Hypergraph-Based Recognition Memory Model for Lifelong Experience. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1016722
Modern Language Association (MLA)
Kim, Hyoungnyoun& Park, Ji-Hyung. Hypergraph-Based Recognition Memory Model for Lifelong Experience. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-1016722
American Medical Association (AMA)
Kim, Hyoungnyoun& Park, Ji-Hyung. Hypergraph-Based Recognition Memory Model for Lifelong Experience. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1016722
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1016722