1) DCSP
分布式约束满足问题
1.
The research of Distributed Constraint Satisfaction Problem(DCSP) and Distributed Constraint Optimization Problem (DCOP) have already became one of the most important basic research topic in distributed artificial intelligence domain.
分布式约束满足问题(DCSP)和分布式约束最优问题(DCOP)的研究是分布式人工智能领域的基础性工作。
2) distributed constraint satisfaction problem
分布约束满足问题
3) distributed constraint satisfaction
分布式约束满足
1.
Solving secure distributed constraint satisfaction problems based on encrypted weighted-privacy;
基于权值加密的隐私安全分布式约束满足问题求解
2.
As one of the most important branches of DAI,the distributed constraint satisfaction is in wide application.
分布式约束满足作为分布式人工智能领域的一个重要分支,在许多领域均得到了广泛应用。
4) graded constraint satisfaction problem(GCSP)
分级约束满足问题
1.
The graded constraint satisfaction problem(GCSP) is put forward by analyzing the characteristic and function of constraint in configuration design.
从分析配置设计过程中约束对变量的不同作用程度入手,提出将配置求解过程作为分级约束满足问题进行处理,对约束进行分级处理,赋予不同的约束水平,以确定配置求解过程中约束满足的顺序。
5) GCSP network
分级约束满足问题网络
1.
By introducing "active variable" and "active constraint" to endow the vertex and arc of direction graph with new meanings,GCSP network is established.
通过引入"活动变量"和"活动约束",对有向图中结点和弧赋予新的含义,构建了分级约束满足问题网络,采用一致性方法和基于图的传播技术相结合的方法进行网络的一致性检验和约束的传播,并提出了分级约束满足问题网络在求解过程中约束冲突的解决方法,形成了配置设计的分级约束满足问题求解方法,较好地解决了变量受多个不同强度约束条件作用时的合理赋值和约束冲突的问题。
6) partial constraint satisfaction problem
部分约束满足问题
1.
In such a situation, the problem can be transformed to a partial constraint satisfaction problem to be resolved.
此时问题求解可以转化为一类部分约束满足问题来处理,相应的优化目标是最小化未访问顾客的损失和。
补充资料：可满足式
设a为任一命题公式，若a不是矛盾式，则称a是可满足式。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条