Retrieving Information from an Episodic Memory, or Why Computers' Memories Should Be More like People's
Abstract
The problem of how to organize particular experiences in a long-term memory has been largely neglected in Natural Language Understanding research. This paper addresses that problem. It shows why good memory organization is necessary for doing intelligent tasks such as story understanding and conversation. A computer memory organization modeled after human memory is proposed, as well as strategies for accessing the computer memory (again based on human information retrieval). This proposal can also be viewed as a new approach to the organization of intelligent databases. The CYRUS system, a computer memory model which implements this theory of memory organization, is described. (Author)
Cite
Text
Schank and Kolodner. "Retrieving Information from an Episodic Memory, or Why Computers' Memories Should Be More like People's." International Joint Conference on Artificial Intelligence, 1979.Markdown
[Schank and Kolodner. "Retrieving Information from an Episodic Memory, or Why Computers' Memories Should Be More like People's." International Joint Conference on Artificial Intelligence, 1979.](https://mlanthology.org/ijcai/1979/schank1979ijcai-retrieving/)BibTeX
@inproceedings{schank1979ijcai-retrieving,
title = {{Retrieving Information from an Episodic Memory, or Why Computers' Memories Should Be More like People's}},
author = {Schank, Roger C. and Kolodner, Janet L.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1979},
pages = {766-768},
url = {https://mlanthology.org/ijcai/1979/schank1979ijcai-retrieving/}
}