电子商务中多Agent系统形式化建模与分析

多Agent系统(Multi-agent Systems,MAS)已在电子商务中得到了广泛应用。由于MAS是一个动态系统,现有的形式化方法不适合描述MAS的动态体系结构,而π演算适合描述具有动态结构的系统,以π演算为形式化基础对MAS进行建模与分析。通过构造一个电子商务系统的形式化模型,描述了π演算的建模和分析过程。π演算不但能描述Agent之间的交互,而且可以对系统的一些关键属性进行分析,如分析系统的死锁性等。     

基于MAS的情报处理系统可行性分析与设计

Agent与多Agent系统技术主要用于构造结构复杂、知识丰富且功能强大的信息处理系统和智能决策系统.结合情报处理系统的自身特点和Agent的智能性,构建了基于MAS的情报处理系统的基本框架,对其可行性进行了论证,从软件系统角度分析了实现的可行性,对其中的反应主体Agent和消息机制的实现进行详细分析与设计,对要解决的关键技术和问题进行了阐述.     

基于MAS的KMS模型构建研究

在对MAS技术和知识管理原理研究的基础上,分析了多Agent系统在知识管理系统模型构建中的可行性,提出了基于多Agent的知识管理系统设计思想。利用Agent智能代理,建立了基于多Agent的知识管理系统的构架模型。该模型能够在目标驱动下,采取交互、学习等行为,对环境的变化做出主动的反应,从而完成知识的收集、组织、应用、创新这一整个流程。     

基于MAS和本体技术的专利分析系统设计

介绍了专利分析相关内容和方法,提出基于MAS和Ontology技术的专利分析系统设计方案,详细分析了本系统设计中的关键技术,建立Agent通用模型并介绍了各个Agent的功能。     

基于MAS的物流治安管理信息系统

以物流治安管理信息系统为应用背景,引入Agent技术。利用Agent的智能性、自主性、社会性、反应性和预动性,完成用户交互、任务执行、结果返回,构建了基于MAS的物流治安管理信息系统,从而满足对物流企业治安管理的需求。     

基于MAS的虚拟物流企业系统运作模型研究

对MAS技术和虚拟物流企业的相关技术进行研究的基础上，分析了MAS理论在虚拟物流企业中应用的可行性及优越性，构建了一个多Agent的管理框架模型，该模型更贴近实际的第三方物流运做和管理机制，提高整个物流行业的物流效率和竞争能力。     

基于MAS的虚拟物流企业伙伴选择决策支持系统模型研究

本文在对MAS技术和虚拟物流企业的相关技术进行研究的基础上,分析了MAS理论在虚拟物流企业中应用的可行性及优越性,构建了一个基于多Agent的虚拟物流企业伙伴选择决策支持系统管理框架模型,该模型更贴近第三方物流实际运做时的伙伴选择运行和管理机制,具有较强的应用价值。     

Agent技术在智能故障库中的应用研究

智能Agent建模是一种描述复杂现象、研究复杂系统、实现复杂自适应性计算的有效手段。它对于复杂系统具有无可比拟的表达力,为各种实际系统的研究提供了一种统一的框架。重点是对基于Agent技术的通信装备智能故障诊断模型、推理逻辑进行探讨,并依据该智能库推理模型对某远程装备维修保障系统开发进行分析、设计和实现。     

军队后勤保障仿真系统的理论构建

在当今信息化高技术战争形式下,后勤保障在军队中的地位和作用日益凸显。但是实兵演习存在较大的局限性不利于后勤保障的平时训练和加强,故而文章建立了基于MAS的后勤保障仿真的一般系统。首先,对后勤保障系统进行了具体分析,其次对Agent及MAS概念及特点进行了简介,最后从MAS角度建立了后勤保障系统仿真的体系结构,建立了保障仿真系统中接口、财务、军需、运输、油料、基建营房和卫生小组Agent等7类Agent及描述了各个Agent之间的相互关系,为军队后勤保障仿真系统的建立提供借鉴和参考。     

基于Agent的软件工程开发方法研究

基于Agent的软件工程(ABSE)方法,是软件工程领域的一种新方法,与现有的开发方法相比,Agent具有较强能力可以对复杂软件系统中的活动实体进行高层抽象。本文阐述了Agent技术的定义、特点,分析了Agent与对象的异同,对基于Agent的软件工程方法其中两种主要方法从原理,建模和体系结构等方面进行了探讨。     

多代理系统的UML 建模研究

随着计算机、网络以及通信技术的发展 ,系统的复杂性不断增加 ,多代理系统的应用也随之日益广泛。本文通过研究面向对象与多代理系统的关系 ,将原本用于面向对象建模的统一建模语言 ,进行必要的扩展 ,以求建立多代理系统的模型     

Dynamic event-triggering sliding mode resilient control for multi-agent systems

The consensus problem for a multi-agent system (MAS) is investigated in this paper via a sliding mode control mechanism subject to stochastic DoS attack, which may occur on each transmission channel independently and randomly according to the Bernoulli distribution. A distributed dynamic event-triggered strategy is implemented on the communication path among agents, where dynamic parameters are introduced to adjust the threshold of event-triggered condition. After that, a distributed sliding mode controller is proposed for ensuring the stochastic consensus of the MAS. Meantime, a minimization problem is solved to obtain the correct controller gain matrix. At last, a numerical example is shown to demonstrate the presented results.     

Dynamic Event-Triggered Sliding Mode Resilient Control for Multi-Agent Systems

The consensus problem for a multi-agent system (MAS) is investigated in this paper via a sliding mode control mechanism subject to stochastic DoS attack, which may occur on each transmission channel independently and randomly according to the Bernoulli distribution. A distributed dynamic event-triggered strategy is implemented on the communication path among agents, where dynamic parameters are introduced to adjust the threshold of event-triggered condition. After that, a distributed sliding mode controller is proposed for ensuring the stochastic consensus of the MAS. Meantime, a minimization problem is solved to obtain the correct controller gain matrix. At last, a numerical example is shown to demonstrate the presented results.     

Adaptive sliding mode control for uncertain nonlinear multi-agent tracking systems subject to node failures

The tracking problem of high-order nonlinear multi-agent systems (MAS) with uncertainty is solved by designing adaptive sliding mode control. During the tracking process, node failures are possible to occur, a new agent replaces the failed one. Firstly, a distributed nonsingular terminal sliding mode(NTSM) control scheme is designed for the tracking agents. A novel continuous function is designed in the NTSM to eliminate the singularity and meanwhile guarantee the estimation of finite convergence time. Secondly, the unknown uncertainties in the tracking agents are compensated by proposing an adaptive mechanism in the NTSM. The adaptive mechanism adjusts the control input through estimating the derivative bound of the unknown uncertainties dynamically. Thirdly, the tracking problem with node failures and agent replacements is further investigated. Based on the constructed impulsive-dependent Lyapunov function, it is proved that the overall system will track the target in finite time even with increase of jump errors. Finally, comparison simulations are conducted to illustrate the effectiveness of proposed adaptive nonsingular terminal sliding mode control method for tracking systems suffering node failures.     

Distributed disturbance observer based consensus control for linear multi-agent systems with mismatched disturbances

This paper proposes two kinds of distributed disturbance observer (DO) based consensus control laws for linear multi-agent systems (MAS) with mismatched disturbances. For a linear MAS with mismatched disturbances generated by exosystems, we design relative information based distributed DOs for each agent to obtain information of disturbances. The first method is to utilise the information of disturbances obtained by the distributed DO as a feedforward term to reject influence of exogenous disturbances for consensus results, where the gain matrix of the feedforward term is obtained via solving a matrix equation. The second method is to design an internal model based dynamic compensator to reject influence of exogenous disturbances, where the dynamic compensator is also updated by the distributed DO. The leaderless and leader-follower consensus are both considered in this paper, and rigorous proof of consensus results is also given. Finally, some numerical simulations verify effectiveness of the proposed consensus control laws.     

Minimal-order observer-based distributed fault detection and isolation for stochastic multi-agent systems

In this paper, the problem of distributed fault detection and isolation (FDI) is investigated for a class of linear discrete-time stochastic multi-agent systems (MASs) with additive Gaussian white noises. By using the information received from the generalized neighbor agents, a set of residual generators are designed for one agent based on the minimal-order observers. After dividing the MAS into several first-order components, the residuals are designed to be robust to the faults in some designated components and sensitive to the faults in all the other components. Combining with FDI strategies, multiple concurrent faults in the generalized neighbor agents can be detected and isolated simultaneously. In addition, a necessary condition is established for the observer to have the minimum order. By means of the statistical method, a set of hypothesis tests are derived to detect and isolate the faults. Finally, a simulation example is presented to show the feasibility and effectiveness of the proposed methods.     

区域土地利用变化情景模拟设计与实证分析——基于多智能体系统(MAS)模型

本文将多智能体系统模型在土地利用变化的应用范围扩展到中尺度上,以城市化快速发展和生态环境压力突出的江苏省宜兴市为研究区,主要考虑了政府、农户、城镇居民、工业企业业主这四类与土地利用变化相关的智能体类型,运用典型相关分析、Logistic回归分析等方法分析设计智能体的行为规则,综合权衡地块的转换概率。在土地利用情景设计中,智能体在自身行为之余,还进行智能体之间、智能体与环境层的交互,用来模拟人类对土地利用变化的决策行为。在Swarm2.2平台下实验得出：研究区土地利用时空演化的总体特征体现在耕地的减少,尤其是在原城镇中心边缘的耕地向城镇用地转化;农村居民点用地呈现集聚趋势;工矿用地的变化较为随机,没有明显的变化趋势;模型总体的模拟精度达到73.35%,较为符合现实的变化情况,证明了多智能体系统模型在引入人类决策因素状态下,研究和分析区域土地利用变化趋势的可行性。     

Distributed secure consensus control of nonlinear multi-agent systems under sensor and actuator attacks

In this paper, we focus on an output secure consensus control issue for nonlinear multi-agent systems (MASs) under sensor and actuator attacks. Followers in an MAS are in strict-feedback form with unknown control directions and unknown dead-zone input, where both sensors and nonlinear characteristics of dead-zone in actuators are paralyzed by malicious attacks. To deal with sensor attacks, uncertain dynamics in individual follower are separated by a separation theorem, and estimation parameters are introduced for compensating and mitigating the influence from adversaries. The influence from actuator attacks are treated as a total displacement in a dead-zone nonlinearity, and an upper bound, as well as its estimation, is introduced for this displacement. The dead-zone nonlinearity, sensor attacks and unknown control gains are gathered together regarded as composite unknown control directions, and Nussbaum functions are utilized to address the issue of unknown control directions. A distributed secure consensus control strategy is thus developed recursively for each follower in the framework of surface control method. Theoretically, the stability of the closed-loop MAS is analyzed, and it is proved that the MAS achieves output consensus in spite of nonlinear dynamics and malicious attacks. Finally, theoretical results are verified via a numerical example and a group of electromechanical systems.     

Scale-free collaborative protocol design for state and regulated state synchronization of multi-agent systems with arbitrary fast convergence

In this paper, we design scale-free collaborative protocols for state and regulated state synchronization of homogeneous multi-agent systems (MAS) with arbitrary fast convergence. The protocol design solely depends on the knowledge of the agents’ model and does not require any information about the communication network and the number of agents. Moreover, our protocols can achieve synchronization with any desired convergence rate by simply tuning a design parameter.     

中国文化“走出去”战略的时代变革与思路创新

随着文化在一国综合国力中作用的凸显,世界各国在文化领域展开了激烈的竞争,文化的竞争已成为当今世界各国较量的重要领域。本文从中国文化"走出去"的战略视角,重新审视中国文化走出去的必要性,阐述文化走出去过程中国内的变革与国际的文化营销创新,对以传统文化为主体的中国文化走出去给予前景的预测和分析,对于国家实施中国文化"走出去"战略具有一定的借鉴和参考价值。