多主体团队交互协议

团队是动态不可预测性环境下协作问题求解的有效方式,联合意图是团队联合求解的关键.因此,主体在团队活动中如何采用言语动作形成、维护、解除联合意图,是一个值得研究的重要问题.旨在设计一种基于主体通信语言FIPA(foundation forintelligent physical Agent)ACL(Agent communication language)的多主体团队交互协议.首先,分析了现有FIPA ACL支持团队联合求解的充分性问题.在概念上明确区分了联合请求与委托请求,指出委托请求言语动作不能充分支持团队协作.并扩展定义了联合请求,讨论了相关定理.然后,基于联合请求动作,提出一种主体团队交互协议,并给出了协议的形式化语义,最后讨论了协议的实际应用.区别于现有的基本动作请求协议、合同网协议以及拍卖协议,团队交互协议描述了另一类主体交互模式,对主体交互模块的设计具有指导意义.     

一种移动Agent通信协作模型

基于FIPA ACL和Linda协作模型的思想和方法,提出一种移动Agent通信协作模型Wagent模型。这种通信协作模型结合了FIPA ACL和Linda协作模型各自的优点,解决基于语义的协作和移动Agent的通信失效问题。在IBM的Aglet平台上,实现这种通信协作模型。     

基于FIPA—ACL／SL的FMS多智能体调度系统

提出具有开放性的基于多智能体体系结构的调度框架,实现柔性制造系统的动态调度系统。系统中的个体智能体可根据实际需要进行增加、删减、修改,有利于系统的优化配置。另外采用FIPA规范的ACL／SL作为智能体系统的通信原语,并给出合同网交互协议的时序图和原语实例。     

基于FIPA ACL和RDF的Agent通信语言

介绍了FIPA规范的Agent通信模型和ACL通信语言,基于元数据建模语言RDF提出了一种基于RDF的Agent通信语言。     

基于P-Agent的虚拟维修样机交互特性建模方法

为了有效提高虚拟维修仿真中的虚拟维修样机部件的实时和自然的交互方式,根据虚拟维修仿真需求和交互支持,提出了基于P-Agent的虚拟维修样机交互特性建模方法.给出了P-Agent的定义与交互模型的定义,围绕虚拟维修中交互的实时性和自然性两大要素展开研究,对通信过程中的交互方式进行了设计,针对通信原语无法支持自然交互存在的不足,对通信原语进行了扩充,使其能够支持P-Agent之间更高层次、更复杂、更多交互协作的交互.仿真过程表明,应用改进的建模方法可以实现良好自然的交互,能够满足实时的虚拟维修仿真交互,具有通用性.     

机会发现系统通信模型和合作协议的研究

为了解决机会发现系统中主体间的通信问题,提出了基于ACL的主体交互通信协议应用于机会发现系统.本文研究了模型中主体间的通信与交互方式,采用点对点的消息传递的方式进行主体间的通信,采用FIPA-ACL通信语言标准,以机会发现中间过程为例对主体间的通信过程进行了设计,为机会发现工具的研究与开发提供了一定的借鉴.     

传感网络与执行器网络混网联合通信优化仿真

在无线传感网络与执行器网络联合通信问题的研究中,执行器网络根据传感网络采集数据与之进行联合通信.在执行器网络执行操作时,需要保证传感器的通信对象处于静态状态,以保证通信稳定性.但很多环境下传感器网络节点多处于活动状态.传统的传双网联合通信方法没有充分考虑到传感器网络节点的移动性,仅仅以多点采集求平均的方式完成动态下的信息交换,会产生较大的通信误差,影响了双网联合通信的性能.为解决上述问题,提出功率均匀分配协同通信的传感网络与执行器网络联合通信的方法.在通信对象静止的情况下,引入通信节点的动态变化函数,获取联合通信状态方程,并对上述方程求解,完成传感网络与执行器网络联合通信的去噪处理,建立联合通信模型,获取联合通信网络通信动态信号图谱,实现传感网络与执行器网络联合通信.实验结果表明,利用改进算法进行联合通信,能够提高通信效率.     

基于二进制光流描述子的运动目标提议

针对视频目标检测提议框存在大量冗余的问题,提出二进制光流描述子,实现视频连通目标的分离提议。通过分析目标局部运动一致性,设计二进制光流描述子,构建目标提议模型,然后利用线性支持向量机分类器求解运动目标提议参数。为充分利用二进制与或运算速度快的优势,采用二进制近似表示运动目标提议参数,快速高效地完成目标提议任务。实验针对Caltech行人数据库,快速地生成了少量高质量的运动目标提议窗口。实验结果优于现有目标提议方法。     

多自治域协同环境中群组通信的安全访问控制

支持多自治域协作的安全通信环境是大规模分布式应用的基础,群通信由于高效、可伸缩等特点,成为这种协作环境的一种基本通信方式．然而,由于没有集中的控制中心,实体分别隶属于异构的自治域且动态变化,引发了大量新的安全访问控制问题．针对多域协作的异构性和动态性特点,提出一套基于角色的分布式信任管理的解决方案,重点解决了动态联合授权以及基于属性的委托授权．在此基础上建立了一套较完整的安全通信体系,包括安全策略的协商、信任证的颁发、信任证与安全策略的一致性验证以及用户访问权限论证等．它为多域协作环境的群通信提供了更加灵活、可靠、安全的访问控制模式．     

The State of the Art in Agent Communication Languages

Like societies of humans, there is a need for agents in a multi-agent system to rely on one another, enlist the support of peers in order to solve complex tasks. Agents will be able to cooperate only through a meaningful communication language that can bear correctly their mental states and convey precisely the content of their messages. In search for the ideal agent communication language (ACL), several initiatives like the pioneering work of the Knowledge Sharing Effort and the Foundation for Intelligent Physical Agents (FIPA) are paving the way for a platform where all agents would be able to interact regardless of their implementation environment. ACL is a new field of study that could gain from a survey in expanding its application areas. For this purpose, we examine in this paper the state of the art in ACL design and suggest some principles for building a generalized ACL framework. We then evaluate some existing ACL models, and present the current issues in ACL research, and new perspectives. Received 22 July 1999 / Revised 23 March 2000 / Accepted 2 May 2000     

Agent通信语言综述

作为Agent间通信的关键,Agent通信语言(AgentCommunicationLanguage,ACL)已经得到学术界和企业界的广泛研究。在综合分析国内外有关ACL文献的基础上,总结了ACL的起源和发展,设计了ACL的基本框架;并在此框架基础上,分析比较了各种ACL,尤其对两种主流ACL:KQML(KnowledgeQueryandManagementLanguage)和FIPAACL(TheFoundationforIntelligentPhysicalAgentsACL)进行比较分析,最后对ACL研究热点做了总结,概括了可能的进一步研究方向。     

供应链管理中多Agent系统的通信研究

多Agent技术是构建供应链管理系统的理想选择，而Agent通信是多Agent系统能否正确高效运行的关键技术之一。本文通过对FIPA ACL语言结构分析，提出一种基于FIPA ACL的供应链管理的多Agent系统通信模型，并给出关键的通信过程。     

Salient object detection using biogeography-based optimization to combine features

In recent studies, ontology related concepts have been introduced into FIPA ACL content language to convey information for agent communication. However, these works have only applied ontology-based knowledge representation in communication message and then demonstrated the advantage of this association. In fact, although ontology can represent semantic implications needed for decidable reasoning support, it has no mechanism for defining complex rule-based representation to support inference. The motivation of this study is to address this issue by developing a semantic-based infrastructure to integrate Semantic Web technologies into ACL message contents. This semantic-based infrastructure defines two different semantic frameworks: the three-tier knowledge representation framework for message content and the Multi-layer Ontology Architecture for content language. The former is developed based on Semantic Web stack to support ontology-based reasoning and rule-based inference. The latter is adopted to develop a Lightweight Ontology-based Content Language (LOCL) to describe agent communication messages in an unambiguous and computer-interpretable way Jena reasoner is used in an application scenario that exploits agent communication with LOCL as content language, OWL as ontology language, and SWRL as rule language to demonstrate the feasibility of the proposed infrastructure.     

Some Remarks on the Semantics of FIPA's Agent Communication Language

The Foundation for Intelligent Physical Agents (FIPA) standardisation body has produced a set of specifications outlining a generic model for the architecture and operation of agent-based systems. The FIPA'97 Specification Part 2 is the normative specification of an Agent Communication Language (ACL) which agents use to talk to each other. The FIPA ACL is based on speech act theory. Its syntax is defined by performatives parameterised by attribute value pairs, while its semantics is given in terms of the mental states of the communicating agents (i.e. intentionality). However, it is not clear if the formal semantics is meant as a normative or informative specification. The primary purpose of this paper is then to give an expository analysis of the FIPA ACL semantics to clarify this situation. We also offer some guidelines motivated from our own analysis, experience and understanding of how the semantic definitions and logical axioms should be interpreted and applied. However, our conclusion is that while the FIPA ACL specification offers significant potential to a developer using it for guidance, there are limitations on using an agent's mental state to specify the meaning of a performative as part of a normative standard. We consider some possibilities for making improvements in this direction.     

A Logic For Ignorance

We introduce and motivate a non-standard multi-modal logic to represent and reason about ignorance in Multi-Agent Systems. We argue that in Multi-agent systems being able to reason about what agents ignore is just as important as being able to reason about what agents know. We show a sound and complete axiomatisation for the logic. We investigate its applicability by restating the feasibility condition for the FIPA communication primitive of inform.