Artificial Intelligence and the Attributional Model of Scientific Discovery
Bibliographic Data
| ID | 11923973 |
|---|---|
| Authors | Augustine Brannigan (Department of Sociology, The University of Calgary, 2500 University Drive NW, Calgary, Alberta, Canada T2N 1N4., corresponding author) |
| Year | 1989 |
| Volume | 19 |
| Issue | 4 |
| Pages | 601-613 |
| Publication date | 1989-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Studies of Science (JOURNAL) |
| Journal identifiers | ISSN: 0306-3127 • E-ISSN: 1460-3659 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/030631289019004002 |
| OpenAlex | W2068277081 |
| Language | EN |
| Citations received | 4 |
| References cited | 4 |
Students of Artificial Intelligence (Al) will not be surprised by the extravagance of Slezak's claims that computer programs are capable of 'autonomously deriving classical scientific laws from the raw observational data'. ' One might infer that programs like Hal 9000 are humming away at solutions for the pressing social and medical problems of our times AIDS, cancer, nuclear disarmament, apartheid, foreign debt and the like. These are common enough speculations in science fiction but are untrue in our present world. However, AI spokesmen are constantly speculating that this sort of thing will occur. Woolgar refers to this as 'the extraordinary rhetoric of progress'.2 Here one is reminded of Herbert Simon's predictions: machines will be capable within twenty years of any work that a man can do.3 Or Simon and Newell's expectations
Cognitive science · Data science · Epistemology · Scientific discovery · Computer Science · Education, Healthcare and Sociology Research · Philosophy · Philosophy and History of Science · Psychology
| Citations per year | 0.12 |
|---|---|
| Citation span | 1992 - 2001 (10) |
| Highly cited | No |