Computational Social Choice and Computational Complexity: BFFs?

被引：0
|
作者：
Hemaspaandra, Lane A. [1 ]
机构：
[1] Univ Rochester, Dept Comp Sci, 601 Elmwood Ave, Rochester, NY 14627 USA
来源：
THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE | 2018年
关键词：
PARALLEL ACCESS; MANIPULATION; SETS; ELECTIONS; DECISION; HARD;
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：
We discuss the connection between computational social choice (comsoc) and computational complexity. We stress the work so far on, and urge continued focus on, two less-recognized aspects of this connection. Firstly, this is very much a two-way street: Everyone knows complexity classification is used in comsoc, but we also highlight benefits to complexity that have arisen from its use in comsoc. Secondly, more subtle, less-known complexity tools often can be very productively used in comsoc.
引用
收藏
页码：7971 / 7977
页数：7
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