Thursday 12 May 2005

协作总述(一)

(现在是选方向的时候,就看摘要吧)



协作
Coordination提供实现智能组件之间协作的基本机制,包括:分布式黑板机制、分布式元组空间机制、组协作机制、商业协作机制、工程协作机制(工作流)以及协作冲突消解机制;


目标


至少提供分布式黑板机制、分布式元组空间机制、工作流机制、组协作机制、商业协作机制和工程协作机制中的3种智能组件协作机制,至少提供2种协作冲突消解机制;


 


 


组协作:


A Study of Synchronization and Group Cooperation Using Partial Contraction Theory  Partial contraction theory [62], for the study of group cooperation and especially group agreement and synchronization. Partial contraction (or meta-contraction) theory is a straightforward but very general application of contraction theory, a recent nonlinear system analysis tool based on studying convergence between two arbitrary system trajectories [26, 27, 45, 46].


On the Size and Structure of Group Cooperation: characteristics of cooperative behavior in a repeated, n-person, continuous action generalization of a Prisoner’s Dilemma game.


 


分布式元组空间机制:


基于元组空间的Agent协作模型的分析与实现:


The paper analyses the two widely used coordination ways which are direct coordination and indirect coordination and proposes a paradigm combined with the above two coordination ways. The paradigm is implemented with the help of Purdue Bond Agent Framework and successfully run by a distributed computation example. At last the recent tendency on tuple space is introduced.


 TREND: 可编程反应的元组空间.


 


 


An efficient distributed tuple space implementation for networks of heterogeneous Workstations Linda


 


The distributed tuple space concept, on which the Linda process coordination model is founded, has given rise to several implementations on parallel machines and networks of heterogeneous workstations. However, the fundamental techniques used in there systems have remained largely


unchanged from the original Linda implementations. This paper describes a novel implementation which, using extensions to the original Linda model and recently developed bulk access primitives for tuple spaces, is able to demonstrate 10 to 70 times speed improvements over the best available commercial system. This is achieved dynamically without any compile time optimizations.