Normative systems of discovery and logic of search |
| |
Authors: | Jan M. Zytkow Herbert A. Simon |
| |
Affiliation: | (1) Computer Science Department, Wichita State University, 67208 Wichita, Kansas, U.S.A.;(2) Department of Psychology, Carnegie-Mellon University, 15213 Pittsburgh, Pennsylvania, U.S.A. |
| |
Abstract: | New computer systems of discovery create a research program for logic and philosophy of science. These systems consist of inference rules and control knowledge that guide the discovery process. Their paths of discovery are influenced by the available data and the discovery steps coincide with the justification of results. The discovery process can be described in terms of fundamental concepts of artificial intelligence such as heuristic search, and can also be interpreted in terms of logic. The traditional distinction that places studies of scientific discovery outside the philosophy of science, in psychology, sociology, or history, is no longer valid in view of the existence of computer systems of discovery. It becomes both reasonable and attractive to study the schemes of discovery in the same way as the criteria of justification were studied: empirically as facts, and logically as norms. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|