Integrated Systems for Computational Scientific Discovery

被引：0

作者：

Langley, Pat ^{[1
]}

机构：

[1] Inst Study Learning & Expertise, 2164 Staunton Court, Palo Alto, CA 94306 USA

来源：

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 20 | 2024年

关键词：

REGULATORY NETWORKS; KNOWLEDGE; AUTOMATION; MODEL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper poses the challenge of developing and evaluating integrated systems for computational scientific discovery. We note some distinguishing characteristics of discovery tasks, examine eight component abilities, review previous successes at partial integration, and consider hurdles the AI research community must leap to transform the vision for integrated discovery into reality. In closing, we discuss promising scientific domains in which to test such computational artifacts.

引用

页码：22598 / 22606

页数：9

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