Ready to leap to neocreationism

被引：0

作者：

Information Sciences Department, Naval Post -Graduate School, Monterey, CA ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

机构：

[1] Information Sciences Department, Naval Post -Graduate School, Monterey

来源：

IEEE Potentials | 2007年 / 5卷 / 20-25期

关键词：

(Edited Abstract);

D O I：

10.1109/MPOT.2007.906098

中图分类号：

学科分类号：

摘要：

Artificial Intelligence (AI) engineers have adopted neo-creationism to engineer suitable language systems and inference engines with sufficient facts, heuristics, and defined tasks. The engineers diagnose and debug the errors, determine the knowledge to be added or modified, and a method to modify and rebalance the preexisting programs to accommodate the new performance. The models are created that enable an interpretation of observations by instantiating the parameterized models to match the observations and perform analysis and synthesis. knowledge engineering of AI focuses on rapid, iterative, engineer-in-the-loop adjustments to the knowledge base that the inference engine uses to solve problems. Improvement of an AI knowledge is done by tackling real-world problems, justification of actions, and continual improvement of the process.

引用

页码：20 / 25

页数：5