3 0 0 0 OA 様相命題論理の意味論的モデルについて
1 0 0 0 OA 書評
1 0 0 0 OA 帰納的確率論について 意味情報理論の基礎
- 著者
- 大窪 徳行
- 出版者
- 科学基礎論学会
- 雑誌
- 科学基礎論研究 (ISSN:00227668)
- 巻号頁・発行日
- vol.9, no.2, pp.54-63, 1969-03-30 (Released:2009-09-04)
- 参考文献数
- 17
1 0 0 0 OA C-関数の適用に関するパラドックスについて
- 著者
- 大窪 徳行
- 出版者
- 日本科学哲学会
- 雑誌
- 科学哲学 (ISSN:02893428)
- 巻号頁・発行日
- vol.10, pp.65-69, 1977-11-10 (Released:2009-05-29)
1 0 0 0 OA 因果的様相論理の体系CMについて
1 0 0 0 OA SNk帰納的確率論と等値な意味公準を含むLN'π帰納的確率論について
- 著者
- 永井 成男 大窪 徳行
- 出版者
- The Philosophy of Science Society, Japan
- 雑誌
- 科学哲学 (ISSN:02893428)
- 巻号頁・発行日
- vol.3, pp.27-43, 1970-11-25 (Released:2009-05-29)
- 参考文献数
- 21
In a current paper we constructed the system SNk, which is an extended and generalized system of Carnap's inductive logic. In the present paper we shall show that the new system L'Nπ equivalent to SNk can be constructed within predicate logic of first order with some meaning postulates.Some remarks have been made by Carnap concerning the use of meaning postulates for inductive logic. However, our aim of the use of meaning postulates is altogether different from and ought not to be confused with Carnap's.
1 0 0 0 OA SNK帰納的確率論に基づく意味情報理論
- 著者
- 大窪 徳行
- 出版者
- The Philosophy of Science Society, Japan
- 雑誌
- 科学哲学 (ISSN:02893428)
- 巻号頁・発行日
- vol.2, pp.19-36, 1969-10-10 (Released:2009-05-29)
- 参考文献数
- 12
Together with Professor Shigeo Nagai, my teacher, I engage myself in studying the extension and generalization of the theory of inductive probability and the theory of semantic information. To state only a result of my part in our reseaches, therefore, is the aim of this monograph.The mathematical field of the theory of semantic information belongs to the theory of inductive probability, and the philosophical field of it to semantics. So, by extending and generalizing the theory of inductive probability, most of the extension and generalization of the theory of semantic information can be done syntactically; and the extended language system can be the semantical one.In the last I extended the theory of inductive probability. Here I will state, therefore, the theory of inductive probability, or the theory of semantic information, based on the SKN language system, as compared with that based on the LSπSNN language system of R. Carnap and Bar-Hillel.