摘要翻译：
本文描述了一个求解不同类型的分布式约束满足问题(DCSP)的原始计算模型。所提出的模型称为约束求解控制器-代理(CACS)。该模型是从两种不同性质的范式：多智能体系统(MAS)和约束满足问题范式(CSP)之间的集成中出现的，其中所有约束都被集中地视为一个黑箱。该模型允许分组约束形成一个子集，该子集将作为控制器内部的局部问题一起处理。使用该模型还可以方便直接地处理非二进制约束，因此不需要将约束转换为二进制约束。本文介绍了一个DCSP求解器原型的实现概要，它的使用方法以及CACS在时间表问题中的应用概述。
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英文标题：
《A new model for solution of complex distributed constrained problems》
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作者：
Sami Al-Maqtari (LITIS), Habib Abdulrab (LITIS), Eduard Babkin (LITIS)
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最新提交年份：
2010
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  In this paper we describe an original computational model for solving different types of Distributed Constraint Satisfaction Problems (DCSP). The proposed model is called Controller-Agents for Constraints Solving (CACS). This model is intended to be used which is an emerged field from the integration between two paradigms of different nature: Multi-Agent Systems (MAS) and the Constraint Satisfaction Problem paradigm (CSP) where all constraints are treated in central manner as a black-box. This model allows grouping constraints to form a subset that will be treated together as a local problem inside the controller. Using this model allows also handling non-binary constraints easily and directly so that no translating of constraints into binary ones is needed. This paper presents the implementation outlines of a prototype of DCSP solver, its usage methodology and overview of the CACS application for timetabling problems.
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PDF链接：
https://arxiv.org/pdf/1003.0590