ForCES体系结构中支持SNMP的CE代理端的研究和实现*

首先介绍了ForCES体系结构、ForCES最新进展和SNMP协议;然后提出了ForCES支持SNMP的方案;最后给出了如何利用网络管理软件来开发ForCES模型中CE端SNMP代理的具体方法。     

ForCES体系结构路由器中RIP的研究与测试

介绍了基于ForCES（Forwarding and Control Element Separation）协议IP路由器的体系结构。对基于ForCES协议IP路由器中RIP协议的实现进行了研究，详细阐述了基于ForCES结构IP路由器中RIP协议实现的方案。最后给出了测试结果。     

一种ForCES结构网络设备资源管理模型

在ForCES体系结构和FE模型的基础上,提出了ForCES资源的概念,将CE对FE的操作抽象成对ForCES资源的操作,提出了ForCES资源操作管理模型,研究了实现该模型的关键技术,包括FE端资源库管理机制.CE端资源存储机制、论述了该模型的实现方法,并给出了其运用的实例,构建了基于Web管理的IPv6路由器.最后,对实现的系统的功能和性能进行了测试,并给出了比较分析.     

基于AgentX协议ForCES路由器网管代理方案的研究与实现

采用控制件CE（Control Element）与转发件FE（Forwarding Element）分离的ForCES路由器,这在路由器体系结构的设计上与传统路由器比较是一种突破性的创举,如何对其实施有效的网络管理是当前研究的热点之一。针对ForCES路由器体系结构特点,在分析SNMP代理实现难点的基础上,结合工程实践,提出并具体实现了一种新的网管代理方案。实践证明,该基于AgentX协议的方案,以可扩展方式实现了网络管理的功能,能较好地满足ForCES路由器可扩展性要求。     

ForCES体系结构路由器中RIP的研究与测试*

介绍了基于ForCES（Forwarding and Control Element Separation）协议IP路由器的体系结构。对基于ForCES协议IP路由器中RIP协议的实现进行了研究,详细阐述了基于ForCES结构IP路由器中RIP协议实现的方案。最后给出了测试结果。     

基于SNMP协议的ForCES路由器网络管理*

首先分析转发与控制分离（ForCES）体系结构;接着讨论了ForCES结构路由器的网络管理问题,分析ForCES结构在实现常规网络管理上的主要问题和困难点;最后着重提出用简单网络管理协议（SNMP）及其扩展代理协议AgentX对ForCES结构路由器进行有效网络管理的方法。     

ForCES路由器中网络管理机制的研究与实现*

简要介绍了ForCES路由器的模型,着重论述了ForCES体系结构中MIB变量分布机制和SNMP数据包传输机制,旨在解决ForCES路由器中实现网络管理的难点;同时详细描述了ForCES路由器实现网络管理的模块结构和内部处理方式,以及get、set和trap的处理流程。根据ForCES工作组的标准草案和RFC建立了相应的网络管理模型,并在实践中使用了SNMP和AgentX协议,实现了对ForCES路由器的管理。该网络管理结构具有通用性、灵活性和高效性的特点。     

一种在ForCES中支持SNMP的方法

根据RFC 3654对转发与控制单元分离(ForCES)体系结构提出的网络管理需求，通过改进ForCES网络单元中大规模动态MIB表的维护机制，提出一种在ForCES中支持简单网络管理协议(SNMP)的方法。实验结果表明，与传统方法相比，该方法能以较少的响应时间获得更好的性能。     

基于OpenRouter模型的ForCES协议实现技术研究

本文在对基于OpenRouter模型的ForCES协议进行研究的基础上,重点介绍了基于OpenRouter模型的原型系统实现的相关技术,并对ForCES协议实现的关键技术进行了详细分析.     

Analysis and Implementation of an Open Programmable Router Based on Forwarding and Control Element Separation

A router architecture based upon ForCES (Forwarding and Control Element Separation), which is being standardized by IETF ForCES working group, gains its competitive advantage over traditional router architectures in flexibility, programmability, and cost-effectiveness. In this paper, design and implementation of a ForCES-based router (ForTER) is illustrated. Firstly, the implementation architecture of ForTER is discussed. Then, a layered software model, which well illustrates ForCES features, is proposed. Based on the model, design and implementation of Control Element (CE) and Forwarding Element (FE) in ForTER are introduced in detail. Moreover, security for ForTER is considered and an algorithm to prevent DoS attacks is presented. Lastly, experiments of ForTER are illustrated for routing and running routing protocols, network management, DoS attack prevention, etc. The experimental results show the feasibility of the ForTER design. Consequently, the ForTER implementation basically testifies the feasibility of ForCES architecture and some IETF ForCES specifications.     

Production management modelling based on MAS

Modelling based on multi-agent system(MAS)was built for the current production management and process of Shenyang Songyang Paper Cup Co. , Ltd. It can transmit the information instantly via order agent(OA), manager agent(MA), production agent(PA), and service agent(SA), and realize information sharing. The PA is also built on MAS, and it includes two agents, task agent(TA), and resource agent(RA). It has been found that the modelling is superior to the old one. It can improve the working flow and production efficiency, and shorten the time of delivery.     

Agent architecture based on an interactive self-reflection classifier system

This paper extends the learning classifier system (LCS) to introduce a mechanism for recognizing a current situation by determining a boundary between self and others, and investigates its capability through interaction with an agent. Intensive simulations for adapting to an interacting agent have revealed the following implications: (1) the proposed architecture adapts to an interacting agent more quickly and appropriately than the conventional LCS, and (2) our architecture keeps its adaptation to an interacting agent even when the agent changes its internal models before our architecture acquires it completely. This work was presented in part at the Fifth International Symposium on Artificial Life and Robotics, Oita, Japan, January 26–28, 2000     

基于多agent的离散制造业制造执行系统框架研究

针对离散制造业的特点对离散制造业制造执行系统的功能模块进行了分类。构造了对应的agent模块,以此提出一种基于多agent的分布式离散制造业制造执行系统体系结构,并研究了其中每个agent的运作机制与多agent之间的交互协调机制。特别是构造了策略agent,它与调度agent协同,可更好地实现离散制造业制造执行系统功能的合理、实时调度。这种结构非常有利于离散制造业制造执行系统的管理和控制,具有较好的可集成性、可扩展性和可重构性。     

一种基于3APL的多agent合作系统*

提出了一种新的基于3APL的多agent合作系统.引入合作规划表达式给出基于扩展巴克斯范式(EBNF)个体agent的3APL语法.利用推理规则、结构结合变换规则等概念提出新的多agent合作操作语义.并深入研究多agent合作慎思循环过程,通过例子说明了多agent间如何合作产生和修正规划的过程.     

Online turnover‐free control for a mobile agent with a terrain prediction sensor

This paper proposes a turnover‐free control method for a teleoperated mobile agent (or vehicle) moving through uneven terrain. The teleoperated agent is primarily driven by an operator at a remote site and is able to react autonomously when a possible turnover is predicted. In order to predict the turnover, a low‐cost terrain prediction sensor has been developed using a camera vision with a structured laser light. Since it is difficult for an operator to predict the reactive motion of the agent, a force reflection technique with a force feedback joystick is employed to intuitively recognize the inconsistency between the intended motion and the reactive motion of the agent. Finally, to verify the feasibility and effectiveness of the proposed method, experiments with the ROBHAZ‐DT (actual mobile agent) have been carried out. In the experiments, the operator could recognize the reactive motion of the agent for turnover prevention through force reflection while the agent was moving on slopped terrain. © 2006 Wiley Periodicals, Inc.     

A formal architectural model for logical agent mobility

The process of agent migration is the major difference between logical code mobility of software agents and physical mobility of mobile nodes in ad hoc networks. Without considering agent transfer, it would make little sense to mention the modeling of strong code mobility, which aims to make a migrated agent restarted exactly from the state when it was stopped before migration. From the perspective of system's architecture, this paper proposes a two-layer approach for the formal modeling of logical agent mobility (LAM) using predicate/transition (PrT) nets. We view a mobile agent system as a set of agent spaces and agents could migrate from one space to another. Each agent space is explicitly abstracted to be a component, consisting of an environmental part and an internal connector dynamically binding agents with their environment. We use a system net, agent nets, and a connector net to model the environment, agents, and the connector, respectively. In particular, agent nets are packed up as parts of tokens in system nets, so that agent transfer and location change are naturally captured by transition firing (token game) in Petri nets. Agent nets themselves are active only at specific places and disabled at all the other places in a system net. The semantics of such a two-layer LAM model is defined by transforming it into a PrT net. This facilitates the analysis of several properties about location, state, and connection. In addition, this paper also presents a case study of modeling and analyzing an information retrieval system with mobile agents.     

Fostering multimedia learning of science: Exploring the role of an animated agent’s image

Research suggests that students learn better when studying a picture coupled with narration rather than on-screen text in a computer-based multimedia learning environment. Moreover, combining narration with the visual presence of an animated pedagogical agent may also encourage students to process information deeper than narration or on-screen text alone. The current study was designed to evaluate three effects among students learning about the human cardiovascular system: the modality effect (narration vs. on-screen text), the embodied agent effect (narration + agent vs. on-screen text), and the image effect (narration + agent vs. narration). The results of this study document large and significant embodied agent and image effects on the posttest (particularly retention items) but surprisingly no modality effect was found. Overall, the results suggest that incorporating an animated pedagogical agent – programmed to coordinate narration with gaze and pointing – into a science-focused multimedia learning environment can foster learning.     

Malaca: A component and aspect-oriented agent architecture

The production of maintainable and reusable agents depends largely on how well the agent architecture is modularized. Most commercial agent toolkits provide an Object-Oriented (OO) framework, whose agent architecture does not facilitate separate (re)use of the domain-specific functionality of an agent from other concerns. This paper presents Malaca, an agent architecture that combines the use of Component-based Software Engineering and Aspect-Oriented Software Development, both of which promote better modularization of the agent architecture while increase at the architectural level. Malaca supports the separate (re)use of the domain-specific functionality of an agent from other communication concerns, providing explicit support for the design and configuration of agent architectures and allows the development of agent-based software so that it is easy to understand, maintain and reuse.     

Designing nonverbal communication for pedagogical agents: When less is more

This experimental study employed a 2 × 2 × 2 factorial design to investigate the effects of type of instruction (procedural module, attitudinal module), deictic gesture (presence, absence), and facial expression (presence, absence) on student perception of pedagogical agent persona, attitude toward the content, and learning. The interaction effect between type of instruction and agent nonverbal behavior (deictic gestures and facial expression) was also investigated. A total of 236 college students learned from an animated pedagogical agent that varied by two factors: deictic gestures and facial expression within one of two instructional environments: one training them to perform tasks within a software program (procedural learning outcome); the other focusing on changing their beliefs regarding intellectual property (attitudinal learning outcome). Results indicated that the main effects of agent facial expression and gesture as well as the interaction were significant for agent perception and learning. With regard to learning, for attitudinal instruction, participants learned more when the agent’s facial expression was present but deictic gesture was absent; however, for procedural instruction, students learned more when the agent’s gestures were present. These results are discussed in light of a preliminary pedagogical agent design principle that suggests that it is most desirable to employ the one nonverbal communicative behavior that is most appropriate to the learning outcome.     

Promoting academically productive talk with conversational agent interventions in collaborative learning settings

Research on computer-supported collaborative learning (CSCL) and conversational pedagogical agents has strongly emphasized the value of providing dynamic dialogue support for learners working together to accomplish a certain task. Recently, on the basis of the classroom discourse framework of Academically Productive Talk (APT), a flexible form of conversational agent support has emerged employing APT-based intervention methods so as to stimulate pedagogically beneficial conversational interactions among learning partners. This paper investigates the impact of an APT-based Linking Contributions (LC) intervention mode implemented by a conversational agent in the context of a collaborative activity in higher education. This type of agent interventions encourages students to explicitly externalize their reasoning on important domain concepts building upon the contributions of their partners. Forty-three (43) students collaborated in small groups using a prototype CSCL system to accomplish three different tasks in the domain of Multimedia Learning. Groups were randomly assigned to the treatment or the control condition. In the treatment condition, a conversational agent participated in students' dialogues making LC mode interventions. In the control condition, students discussed without the agent intervening. The results of the study illustrated that the students in the treatment condition engaged in a more productive dialogue demonstrating increased explicit reasoning throughout the collaborative activity. Furthermore, it was shown that the students in the treatment condition outperformed the control students in various measures on knowledge acquisition. Evidence also suggests that students' enhanced learning performance was mediated by the positive effect of the agent intervention mode on students' argumentation. Overall, this study provides insights into how the use of a configurable conversational agent displaying unsolicited LC interventions during students' discourse can be beneficial to collaborative learning.