Paper Info
Title
The art of artificial intelligence: themes and case studies of knowledge engineering
Abstract
The knowledge engineer practices the art of bringing the principles and tools of AI research to bear on difficult applications problems requiring experts'' knowledge for their solution. The technical issues of acquiring this knowledge, representing it, and using it appropriately to construct and explain lines-of-reasoning, are important problems in the design of knowledge-based systems. Various systems that have achieved expert level performance in scientific and medical inference illuminates the art of knowledge engineering and its parent science, Artificial Intelligence.
Year
DOI
Venue
1977
10.1109/AFIPS.1978.191
The art of artificial intelligence: I. Themes and case studies of knowledge engineering
Keywords
Field
DocType
knowledge-based system,artificial intelligence,difficult applications problem,medical inference,important problem,parent science,expert level performance,ai research,case study,knowledge engineering,knowledge engineer practice,artificial intelligent,mathematical programming
Procedural knowledge,Commonsense knowledge,Knowledge integration,Domain knowledge,Computer science,Mathematical knowledge management,Knowledge-based systems,Knowledge engineering,Artificial intelligence,Management science,Machine learning,Legal expert system
Conference
Citations 
PageRank 
References 
70
54.16
2
Authors
1
Name
Order
Citations
PageRank
Edward A. Feigenbaum1518406.85