IEICE TRANSACTIONS on transactions
Formulation of the Verbal Thought Process Based on Generative Rules
Summary :
An assumption is made on the generative nature of the verbal thought process, based on an analogy between language use and verbal thought. A procedure is then presented for acquiring the set of generative rules from a given set of concept strings, leading to an efficient representation of verbal knowledge. The non-terminal symbols derived in the acquisition process are found to correspond to concepts and superordinate concepts in the human process of verbal thought. The validity of the formulation and the efficiency of knowledge representation is demonstrated by an example in which knowledge of biological properties of animals is reorganized into a set of generative rules. The process of inductive inference is then defined as a generalization of the acquired knowledge, and the principle of maximum simplicity of rules is proposed as a possible criterion for such generalization. The proposal is also tested by an example in which only a small part of a systematic body of knowledge is utilized to make inferences on the unknown parts of the system.
- Publication
- IEICE TRANSACTIONS on transactions Vol.E67-E No.1 pp.26-32
- Publication Date
- 1984/01/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Artificial Intelligence
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Naoki SUEHIRO, Hiroya FUJISAKI, "Formulation of the Verbal Thought Process Based on Generative Rules" in IEICE TRANSACTIONS on transactions,
vol. E67-E, no. 1, pp. 26-32, January 1984, doi: .
Abstract: An assumption is made on the generative nature of the verbal thought process, based on an analogy between language use and verbal thought. A procedure is then presented for acquiring the set of generative rules from a given set of concept strings, leading to an efficient representation of verbal knowledge. The non-terminal symbols derived in the acquisition process are found to correspond to concepts and superordinate concepts in the human process of verbal thought. The validity of the formulation and the efficiency of knowledge representation is demonstrated by an example in which knowledge of biological properties of animals is reorganized into a set of generative rules. The process of inductive inference is then defined as a generalization of the acquired knowledge, and the principle of maximum simplicity of rules is proposed as a possible criterion for such generalization. The proposal is also tested by an example in which only a small part of a systematic body of knowledge is utilized to make inferences on the unknown parts of the system.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e67-e_1_26/_p
Copy
@ARTICLE{e67-e_1_26,
author={Naoki SUEHIRO, Hiroya FUJISAKI, },
journal={IEICE TRANSACTIONS on transactions},
title={Formulation of the Verbal Thought Process Based on Generative Rules},
year={1984},
volume={E67-E},
number={1},
pages={26-32},
abstract={An assumption is made on the generative nature of the verbal thought process, based on an analogy between language use and verbal thought. A procedure is then presented for acquiring the set of generative rules from a given set of concept strings, leading to an efficient representation of verbal knowledge. The non-terminal symbols derived in the acquisition process are found to correspond to concepts and superordinate concepts in the human process of verbal thought. The validity of the formulation and the efficiency of knowledge representation is demonstrated by an example in which knowledge of biological properties of animals is reorganized into a set of generative rules. The process of inductive inference is then defined as a generalization of the acquired knowledge, and the principle of maximum simplicity of rules is proposed as a possible criterion for such generalization. The proposal is also tested by an example in which only a small part of a systematic body of knowledge is utilized to make inferences on the unknown parts of the system.},
keywords={},
doi={},
ISSN={},
month={January},}
Copy
TY - JOUR
TI - Formulation of the Verbal Thought Process Based on Generative Rules
T2 - IEICE TRANSACTIONS on transactions
SP - 26
EP - 32
AU - Naoki SUEHIRO
AU - Hiroya FUJISAKI
PY - 1984
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E67-E
IS - 1
JA - IEICE TRANSACTIONS on transactions
Y1 - January 1984
AB - An assumption is made on the generative nature of the verbal thought process, based on an analogy between language use and verbal thought. A procedure is then presented for acquiring the set of generative rules from a given set of concept strings, leading to an efficient representation of verbal knowledge. The non-terminal symbols derived in the acquisition process are found to correspond to concepts and superordinate concepts in the human process of verbal thought. The validity of the formulation and the efficiency of knowledge representation is demonstrated by an example in which knowledge of biological properties of animals is reorganized into a set of generative rules. The process of inductive inference is then defined as a generalization of the acquired knowledge, and the principle of maximum simplicity of rules is proposed as a possible criterion for such generalization. The proposal is also tested by an example in which only a small part of a systematic body of knowledge is utilized to make inferences on the unknown parts of the system.
ER -
English
