AI & Decision Theory
Despite their different perspectives, artificial intelligence (AI) and the discipline of decision science have common root and strive for similar goals, such that they all want to discover something from unknown world and produce corresponding accurate response ...
posted by Shunkai Fu at 6:10 AM
2 Comments:
"AI and the decision sciences emerged from research on systematic methods for problem solving and decision making that blossomed in the 1940s. These disciplines were stimulated by new possibilities for automated reasoning unleashed by the development of computer. Although the fields had common roots, AI soon distinguished itself from the others in its conern with autonomous problem solving, its emphasis on symbolic rather than numeric information, its use of declarative representations, and its interest in analogous between computer programs and human thinking."
"However, many AI researchers soon lost interest in decision theory. This disenchantment seems to have arisen, in part, from a perception that decision-theoretic approaches were hopelessly intractable and were inadequate for expressing the rich structure of human knowledge. ... Although similar views are still widespread among AI researchers, there has been a recent resurgence of interest in the application of probability theory, decision theory, and decision analysis to AI."
Post a Comment
<< Home