Computational Models of Scientific Discovery and Theory FormationJeff Shrager, Pat Langley This collection reports on recent advances in the study of scientific discovery and theory formation based on the computational techniques of artificial intelligence and cognitive science. |
Contents
Computational Approaches to Scientific Discovery | 1 |
The Conceptual Structure of the Geological | 27 |
On Finding the Most Probable Model | 73 |
Copyright | |
7 other sections not shown
Common terms and phrases
abduction accretion theory active amount-of analogy anomaly approach Artificial Intelligence backward chaining Bayesian behavior belief revision BigTrak causal cognitive complex component computational models concepts contains continental drift decrease describe diagram domain domain theory equation evaluation example experiment space experimental explanation explanation-based Falkenhainer Figure Forbus framework function genes GENSIM germ cells given glutamic acid goal heuristic hierarchy HYPGENE hypotheses inference initial input insulin involves KEKADA Klahr knowledge Langley liquid flow Machine Learning match methods Morgan Kaufmann node objects observations operators Pat Langley PHINEAS phlogiston theory physical plate tectonics prediction prior problem produce proposed propositional qualitative process quantity Rajamoney reaction repeat representation represented revised theory scenario schema scientific discovery scientists sea floor seafloor spreading Selector Shrager simulation Solution1 specific step strategy structure subjects substance taxonomy temperature Thagard theory formation theory revision tion Zytkow