Abstract
Logicism has contributed greatly to progress in AI by emphasizing the central role of mental content and representational vocabulary in intelligent systems. Unfortunately, the logicists' dream of a completely use-independent characterization of knowledge has drawn their attention away from these fundamental AI problems, leading instead to a concentration on purely formalistic issues in deductive inference and model-theoretic "semantics". In addition, their failure to resist the lure of formalistic modes of expression has unnecessarily curtailed the prospects for intellectual interaction with other AI researchers.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 57-77 |
| Number of pages | 21 |
| Journal | Artificial Intelligence |
| Volume | 47 |
| Issue number | 1-3 |
| DOIs | |
| State | Published - Jan 1 1991 |
Fingerprint
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language
- Artificial Intelligence
Cite this
}
Rigor mortis : A response to Nilsson's "Logic and artificial intelligence". / Birnbaum, Lawrence A.
In: Artificial Intelligence, Vol. 47, No. 1-3, 01.01.1991, p. 57-77.Research output: Contribution to journal › Article
TY - JOUR
T1 - Rigor mortis
T2 - A response to Nilsson's "Logic and artificial intelligence"
AU - Birnbaum, Lawrence A
PY - 1991/1/1
Y1 - 1991/1/1
N2 - Logicism has contributed greatly to progress in AI by emphasizing the central role of mental content and representational vocabulary in intelligent systems. Unfortunately, the logicists' dream of a completely use-independent characterization of knowledge has drawn their attention away from these fundamental AI problems, leading instead to a concentration on purely formalistic issues in deductive inference and model-theoretic "semantics". In addition, their failure to resist the lure of formalistic modes of expression has unnecessarily curtailed the prospects for intellectual interaction with other AI researchers.
AB - Logicism has contributed greatly to progress in AI by emphasizing the central role of mental content and representational vocabulary in intelligent systems. Unfortunately, the logicists' dream of a completely use-independent characterization of knowledge has drawn their attention away from these fundamental AI problems, leading instead to a concentration on purely formalistic issues in deductive inference and model-theoretic "semantics". In addition, their failure to resist the lure of formalistic modes of expression has unnecessarily curtailed the prospects for intellectual interaction with other AI researchers.
UR - http://www.scopus.com/inward/record.url?scp=0026001868&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026001868&partnerID=8YFLogxK
U2 - 10.1016/0004-3702(91)90050-T
DO - 10.1016/0004-3702(91)90050-T
M3 - Article
AN - SCOPUS:0026001868
VL - 47
SP - 57
EP - 77
JO - Artificial Intelligence
JF - Artificial Intelligence
SN - 0004-3702
IS - 1-3
ER -