基于着色Petri网的多Agent系统交互协议建模

多Agent系统（Multi—AgentSystems，MAS）中，多个Agent通过交互和协作来完成一系列任务或实现一些目标。Agent之间有效、有序地进行交互是MAS成功运行的关键。文中采用着色Vetri网来表示一个多Agent系统。利用着色Vetri网，便于描述并发现象和模拟平行系统，除了直观的图形化表示，还具有精确的形式化定义，并且有完善的分析工具。最后对FIPA规范中的FIPAInform和FIPA Request两个协议进行实例分析，说明如何用着色Petri网进行建模。     

基于面向对象着色Petri网的多Agent系统建模

提出了一种基于面向对象着色Petri网（OOCPN）的多Agent建模方法,与其它建模方法相比,OOCPN可以全面地刻画出Agent的个体行为特征和多Agent间复杂、并行的动态交互,讨论了利用OOCPN进行个体Agent和多Agent间交互协议的建模,并通过对网上智能购物系统的实例分析,展示了OOCPN对多Agent系统的建模能力。     

面向Agent的Petri网及其应用

为了更好地刻画单个Asent的行为和多Asent间复杂、并行的动态交互,将面向Agent的设计思想与Petri网建模方法相结合,形成了一种面向Agent的Petri网(AOPN)模型.首先给出了面向Agent的Petri网的形式化定义,然后利用Petri网的建模工具,以网上购物背景下买卖双方简单交互为例,对基于面向Agent的Petri网模型的系统建模方法进行了研究和分析,有效地解决了系统结构复杂性的问题.     

基于多Agent的应急协同Petri网建模及协同检测

针对应急事件处置过程中的多组织协同问题,提出多Agent应急协同的Petri网模型定义,研究Agent内部Petri网基本结构及多Agent的协同交互Petri网建模,并给出了应急协同Petri网模型的协同检测算法。最后以某单位氯气泄漏应急事件处置过程为例,建立了应急协同Petri网模型,并进行协同检测及分析,验证方法有效性和实用性。     

基于FIPA的多Agent系统通信研究

Agent通信是多Agent系统(MAS:Multi-Agent System)的核心活动之一,是Agent相互协调、合作的基础。依据FIPA(Foun-dation for Intelligent Physical Agents)规范,采用消息传送与CORBA技术相结合的通信方式,实现了MAS中Agent之间的有效通信。通过具体的通信实例讨论了MAS中Agent通信的实现。     

基于嵌套网的JADE建模

良好的形式化建模方法是大规模开发和应用多Agent系统(MAS)的必要条件之一,使用多层的嵌套网对JADE进行层次化建模,给出面向对象的MAS与NP-nets之间的对照关系。指出通过引入层次结构,不仅能有效地控制状态空间的规模,而且能通过网托肯的嵌套方式克服Petri网结构演化的困难。     

一种基于多Agent的计算机生成兵力协作方法

研究建立虚拟战场攻防对抗环境,为提高协作任务分配机制的鲁棒性、可扩展性和动态适应性,在经典合同网协议的基础上,通过引入交互信任度、熟人信任度和阈值等策略,提出了一种适合于基于多Agent系统（MAS）的计算机生成兵力（CGF）协作的集成合同网协议。为了保证协议的完整性、正确性和可靠性,利用赋色Petri网进行了形式化建模,分析和验证协议的灵活性、可达性和有界性等特性。对集成合同网协议,应用基于MAS的弹道导弹攻防对抗CGF系统进行协作仿真。仿真结果表明,集成合同网协议有效地降低了协作的通信代价,提高了系统的完成任务指标。     

基于着色Petri网的多Agent交互

在多Agent系统（MAS）中,Agent通过遵循交互协议的信息交换来进行交互,而大多数的Agent交互协议是在Agent设计时事先绑定的,这大大降低了Agent之间交互的灵活性。文章给出了一种灵活的创建Agent之间交互协议的方法,通过此方法,Agent不但可以分析自身是否可以使用创建的新协议进行交互,还可以分析使用新协议是否更有利于实现其自身目标。     

基于着色网的Agent会话协议规范与会话建模

会话以及与之相关的会话协议的概念，作为用来刻画Agent之间交互的抽象机制已经研究多年。然而对这些抽象的形式化规范还没有达成共识。文中基于着色网的形式化表示，对多Agent系统中Agent之间复杂并行的会话进行建模。着色网不但可以用来描述简单的会话协议，也可以描述由简单会话协议合成的复杂会话，刻画会话的并行特征以及复杂会话运行时的状态。     

基于AUML与GPN的Agent交互协议建模

本文提出了一种基于AUML和CPN的Agent交互协议建模和检验的方法。该方法的主要思想是首先利用AUML协议图对Agent交互协议进行描述；然后在此基础上利用各种通信协议 建模中常用的有色Petri网（CPN）来对交互协议进行描述，并进一步转换成为比较适合描述多个Agent并发交互的形式。此外，可以使用CPN的验证工具时CPN所描述的交互协议进行检验。     

智能控制中的多Agent系统

根据智能控制的安全、经济和舒适三大目标,提出一种新的基于BACnet(楼宇自动控制网络数据通信协议)的MAS(多Agent系统)框架．此框架通过不同层次、不同功能的Agent的自治能力及协作协调,使得智能控制系统的各个相对分散的子系统能够有效地结合在一起．全局Agent负责整体功能的实现,而每个子系统均设置自身的Agent组．此外,还提出了基于MAS框架的SAS(安防自动化系统)逻辑结构,同时遵循FIPA(智能物理Agent基金)标准设计了此MAS系统的Agent通信语言,并对SAS系统进行了重点分析和研究,包括CCTV(闭路电视监控)系统和基于Auto-ID(自动识别)的系统．     

Methodological design and comparative evaluation of a MAS providing AmI

Researches on Ambient Intelligent and Ubiquitous Computing using wireless technologies have increased in the last years. In this work, we review several scenarios to define a multi-agent architecture that support the information needs of these new technologies, for heterogeneous domain. Our contribution consists of designing in a methodological way a Context Aware System (involving location services) using agents that can be used in very different domains. We describe all the steps followed in the design of the agent system. We apply a hybridizing methodology between GAIA and AUML. Additionally we propose a way to compare different agent architectures for Context Aware System using agent interactions. So, in this paper, we describe the assignment of weight values to agents interaction in two different MAS architectures for Context Aware problems solving different scenarios inspired in FIPA standard negotiation protocols.     

A MAS IMPLEMENTATION FOR SYSTEM IDENTIFICATION AND PROCESS CONTROL

In this paper, a MAS for system identification and process control is presented. In particular, this MAS implements a self‐tuning regulator (STR) scheme. It has adopted FIPA specifications because they have become a stronger standard in MAS development and they involve not only agent language specifications but also agent management and conversations. In this work, an Ontology Agent (OA) is included, using DAML + OIL as ontology language. The obtained results validate this approach in the implementation of well‐known algorithms for control process.     

基于Gaia与JADE框架的MAS建模

为了更加有效地开发MAS系统,简化系统建模流程,传统的建模方法已暴露出其不足之处,因此必须采用新的分析和设计建模方法.提出了Gaia建模方法和JADE框架,Gaia为复杂开放式软件系统的设计和分析提供了清晰的解决方案,JADE则是在符合FIPA规范的MAS系统下开发Agent应用的一种软件框架结构,通过结合Gaia和JADE框架对一个针对手机用户的个人信息MAS系统进行了建模,验证了结合使用Gaia建模和JADE框架能够显著的简化MAS系统开发流程,提高开发效率.     

Developing Real Applications With Agent Technologies

In this paper, we present an agent library to develop multi-agent applications. Such an agent library has been realised taking into account FIPA specifications. FIPA specifications give the minimum amount of technology deemed necessary for the management of agents in an open agent system, including agent roles, an agent communication language, an agent management content language, and a standard way to interact with non-agentised software.Therefore, the library offers the prototypes of the agents necessary for the management of a FIPA agent open system and an agent prototype that the user can specialise to build the other agents necessary for her/his application. The library has been implemented both in C++ and Java. The two implementations support a logical distribution, i.e., the agents correspond to different threads, and a physical distribution, i. e., agents of the same applications run on different machines. The Java library has been used to develop a multi-agent system, that facilitates users to use a video on demand service, and a first prototype of the system is under experimentation. The C++ library is used for the development of a multi-agent system that should integrate the different software modules performing sensory data interpretation, planning, faults diagnosis, . . . of a robot working in a space station.     

MULTI-AGENT INFRASTRUCTURES FOR OBJECTIVE AND SUBJECTIVE COORDINATION

Coordination in multi-agented systems (MAS) can be conceived as either an agent activity (the subjective viewpoint) or an activity over agents (the objective viewpoint). The two viewpoints have generated two diverging and often contrasting lines of research, as well as different and noncompatible technologies, however, their integration is mandatory for modeling and engineering complex MAS. In this paper, we explore the issue of integration at both the model and the technology levels.

First, by taking FIPA agents and coordination artifacts as reference notions for subjective and objective approaches, respectively, we sketch a framework where agent interactions with coordination artifacts are modeled as physical acts, deliberated and executed by agents analogously to communicative actions. Then, we show how the JADE infrastructure for FIPA-compliant agents, and the TuCSoN infrastructure providing agents with coordination artifacts can be integrated at the technology level, allowing JADE agents to access TuCSoN tuple centers through JADE services.     

THE GAIA2JADE PROCESS FOR MULTI-AGENT SYSTEMS DEVELOPMENT

In this paper we present the Gaia2JADE process concerning how one can implement a multi-agent system with the JADE framework using the Gaia methodology for analysis and design purposes. This process is particularly dedicated to the conversion of Gaia models to JADE code. It is described using the Software Process Engineering Metamodel (SPEM) and extends the one proposed by FIPA for describing the Gaia modeling process. Thus, it proposes to potential MAS developers a process that covers the full software development lifecycle. This work is based on the experience we have acquired by applying this process for implementing a real-word multi-agent system conceived for providing e-services to mobile users. With this paper, we share this experience with future multi-agent systems (MAS) developers, who would like to follow this process, taking into account several technical issues that emerged during the implementation phase, helping them to easily model and implement their systems.     

基于CPN与Aalaadin元模型的MAS建模

对于MAS而言,传统的UML已经无法满足建模的需求,必须找到一种更好的方式来对MAS建模,这里对UML进行了研究和扩展至AUML,以达到对建模的需求,还使用了CPN与Aalaadin元模型来弥补AUML的不足,CPN与Aalaadin元模型也能很好的互为补充,极大提高了MAS模型的可行性.     

A bio-inspired mobile agent-based integrated system for flexible autonomic job shop scheduling

This paper presents a bio-inspired mobile agent-based integrated system for flexible autonomic job shop scheduling. The system matches the autonomic system architecture, inspired by the autonomic nervous system and proposed by the IBM, and has the IBM-defined fundamental self-managing properties, so that it can manage itself with little human intervention. The system conforms to the IEEE FIPA (Foundation for Intelligent Physical Agents) standard. Therefore, the interoperability between agents of the system and agents from many active heterogeneous FIPA compliant agent platforms can be ensured. The system supports the execution of C/C++ mobile agent codes. Thus, it is applicable to a variety of applications, especially for distributed mechatronic and embedded systems. In addition, since the system is composed of agents, including stationary and mobile agents, the system has a high scalability and flexibility to integrate and adopt various scheduling models and algorithms for different scheduling requirements. An overall architecture of the system and critical implementation details about the agency and agents in the system are presented in this article. An energy saving job shop scheduling example is used to validate one autonomic property of the system.