期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
关于区域伦理的几点思考 被引量:2
1
作者 尹自永 《理论与改革》 CSSCI 北大核心 2000年第2期27-29,共3页
关键词 区域伦理 普世伦理 区域利益 约束性规范
全文增补中
CONSTRAINT QUALIFICATIONS AND DUAL PROBLEMS FOR QUASI-DIFFERENTIABLE PROGRAMMING
2
作者 殷洪友 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2002年第2期199-202,共4页
In classical nonlinear programming, it is a general method of developing optimality conditions that a nonlinear programming problem is linearized as a linear programming problem by using first order approximations of ... In classical nonlinear programming, it is a general method of developing optimality conditions that a nonlinear programming problem is linearized as a linear programming problem by using first order approximations of the functions at a given feasible point. The linearized procedure for differentiable nonlinear programming problems can be naturally generalized to the quasi differential case. As in classical case so called constraint qualifications have to be imposed on the constraint functions to guarantee that for a given local minimizer of the original problem the nullvector is an optimal solution of the corresponding 'quasilinearized' problem. In this paper, constraint qualifications for inequality constrained quasi differentiable programming problems of type min {f(x)|g(x)≤0} are considered, where f and g are qusidifferentiable functions in the sense of Demyanov. Various constraint qualifications for this problem are presented and a new one is proposed. The relations among these conditions are investigated. Moreover, a Wolf dual problem for this problem is introduced, and the corresponding dual theorems are given. 展开更多
关键词 quasi differentiable programming constraint qualification dual problems
下载PDF
人工智能赋能国家治理的双向制度建构
3
作者 许勇 黄福寿 《西南民族大学学报(人文社会科学版)》 CSSCI 北大核心 2023年第12期198-206,共9页
伴随着人工智能在国家治理中的应用,产生了人才和技术缺失、算法影子官僚、算法偏见、人机协同困难等问题,迫切需要建构技术向善的制度来促进人工智能在国家治理中的有效应用。激励制度和约束规范并举是技术有效融入治理的客观需要,以... 伴随着人工智能在国家治理中的应用,产生了人才和技术缺失、算法影子官僚、算法偏见、人机协同困难等问题,迫切需要建构技术向善的制度来促进人工智能在国家治理中的有效应用。激励制度和约束规范并举是技术有效融入治理的客观需要,以激励制度发挥人工智能赋能的正向作用,以约束规范减低或消除人工智能赋能的负面效应。当前,需要建构的激励性制度包括建立和完善人才激励制度,以教育模式变革来培养创新人才;促进和强化产学研合作制度,使创新链、产业链与市场高度连接;重视和加强基础研究支持制度,激励科学家潜心基础研究;建立发展信息收集制度,加强对人工智能发展的预判、协调和协同;建构行业标准体系,减少标准不一带来的浪费行为。需要建构的约束性规范包括加强立法论证,建构法律约束,打击人工智能赋能的侵权行为;强化对违反伦理原则赋能的制约机制,建构伦理约束,树立可信、可责、可知、可用的人工智能伦理原则;建构人工智能赋能的风险防范机制,建立安全测试机制、政治安全审查机制、军事化防范机制、失业预警防范机制、突破国际封锁机制等措施。通过建构激励性制度和约束性规范,有效发挥两者的双向协同作用,以促进人工智能有效赋能国家治理现代化。 展开更多
关键词 人工智能 国家治理 激励制度 约束性规范 智能治理
原文传递
Grunwald-Wang theorem, an effective version
4
作者 WANG Song 《Science China Mathematics》 SCIE CSCD 2015年第8期1589-1606,共18页
The main purpose of this article is to establish an effective version of the Grunwald-Wang theorem, which asserts that given a family of local characters Xv of Kv of exponent m, where v C S for a finite set S of prime... The main purpose of this article is to establish an effective version of the Grunwald-Wang theorem, which asserts that given a family of local characters Xv of Kv of exponent m, where v C S for a finite set S of primes of K, there exists a global character X of the idele class group CK of exponent m (unless some special case occurs, when it is 2m) whose local component at v is Xv. The effectiveness problem for this theorem is to bound the norm N(X) of the conductor of X in terms of K, m, S and N(Xv) (v C S). The Kummer case (when K contains pro) is easy since it is almost an application of the Chinese remainder theorem. In this paper, we solve this problem completely in general case, and give three versions of bound, one is with GRH, and the other two are unconditional bounds. These effective results have some interesting applications in concrete situations. To give a simple example, if we fix p and l, one gets a good least upper bound for N such that p is not an /-th power rood N. One also gets the least upper bound for N such that lr |φ|(N) and p is not an/-th power mod N. Some part of this article is adopted (with some revision) from the unpublished thesis by Wang (2001). 展开更多
关键词 Grunwald-Wang theorem class field theory BOUND
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部