
Qualitative Reasoning for Financial Assessments: A Prospectus
Author(s) -
Hart Peter E.,
Barzilay Amos,
Duda Richard O.
Publication year - 1986
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v7i1.529
Subject(s) - prospectus , expert system , point (geometry) , work (physics) , management science , computer science , data science , engineering ethics , engineering , artificial intelligence , finance , business , mechanical engineering , mathematics , geometry
Historically, the evolution of expert systems has been driven by scientifically based fields such as medicine, geology, and computer engineering. More recently, expert system developers have turned their attention to the highly judgmental decision tasks found in business and finance We introduce the corporate assessment problem, point out the limitations of current expert system approaches to the solution to this problem, and suggest that a more fundamental approach based on recent work in qualitative physics might be fruitful.