基于关系网模型的Agent联盟形成策略

从研究Agent社会合作机制入手,引入了一个表示Agent之间联系的社会关系网模型,并以该模型中的熟人集为基础提出了一种Agent联盟形成策略。该策略能有效地减少系统中的联盟数,避免联盟形成过程中的盲目性,节省协商时间并提高协商效率。     

基于学习的多Agent多议题协商优化研究

以买方Agent的观点,对从交易平台上获得的卖方Agent的历史协商信息进行分析,并根据其特点做初步过滤。在此基础上,针对现有协商模型中存在的问题,提出了一个Agent协商对手选择算法和相应的交互机制,并验证了其可行性。该算法可用于Agent协商开始前协商对手的选择和初始信念的更新,对Agent在协商中策略的选择和执行具有指导作用,能有效提高Agent在协商中的效用及效率。     

一种劝说式多Agent供应链协商模型研究

好的协商模型对提高供应链协商效率有着重要的意义。提出了一种基于劝说式的多Agent供应链协商模型。对供应链协商模型框架和协商Agent的状态信息进行了形式化的定义,阐述了协商中的劝说方法、让步原则和提议交互过程。实践表明利用该模型建立起供应链协商支持系统能提高供应链伙伴协商效率和协商成功率。     

一种基于时间-效用的Agent社会承诺机制

在多Agent系统中,为了完成任务,Agent之间需要建立社会承诺。本文通过将T．Sandholm的分级承诺合同协议思想与时间-效用对协商的影响有机地结合起来,提出了一种基于时间-效用的Agent社会承诺机制,为电子商务环境下存在最大协商时间的一对多协商中的买卖双方Agent之间的社会承诺问题提供了有效的解决方案。文章分析了解除承诺的条件,提出了建立承诺、解除承诺和遵守承诺的规则,从而有效规避了协商中买方Agent与卖方Agent随意达成一致的行为,同时保证了买方Agent能够在最大协商时间内确定最佳交易卖方,从而提高了协商系统的效率和效用。     

一种多Agent多议题的协商模型

协商是多Agent系统实现协作、协调和冲突消解的关键技术。本文分析了协商问题的实质和协商过程,提出了一种支持多轮协商的多Agent多议题协商模型。模型中引入了Agent类型的概念,在信息不完全的条件下,协商Agent通过推测协商对手的类型来指导自身的提议策略和协商战术,使提议更具针对性,避免了盲目性,从而节约了协商时间,提高了协
商质量。     

基于Q-强化学习的多Agent协商策略及算法

针对传统Agent协商策略学习能力不足,不能满足现代电子商务环境需要的问题,采用Q-强化学习理论对Agent的双边协商策略加以改进,提出基于Q-强化学习的Agent双边协商策略,并设计实现该策略的算法。通过与时间协商策略比较,证明改进后的Agent协商策略在协商时间、算法效率上优于未经学习的时间策略,能够增强电子商务系统的在线学习能力,缩短协商时间,提高协商效率。     

多Agent的自动协商

协商是多Agent系统实现协调、协作和冲突消解的关键环节。如何构造有效的协商模型来提高Agent的协商能力，是多Agent系统研究中待解决的问题之一。文章主要讨论了双边多项目协商问题，提出了相应的协商模型、协议和协商算法，具有一定的通用性。     

多Agent多阶段一对多协商模型

为解决多Agent一对多、多议题协商问题,提出了具有议题属性协商阶段的多阶段协商模型,设计了一种根据Agent让步幅度变化所形成的曲线来判定Agent类型和使用何种协商方法的协商策略.详细地分析了多Agent、多阶段一对多协商的协商过程.将三角模糊数多属性决策方法引入到多Agent协商过程中降低了决策者评估对方所提出方案的难度,能更自然地对不同方案的优劣进行排序.模拟算例表明,该模型有效且可行,为多Agent协商提供可参考的模型和求解算法.     

基于知识本体的电子商务协商Agent

传统的电子商务协商对Agent有许多的限制,不能面向开放环境,通过分析协商Agent交互基础和最新文献．提出一种基于知识本体的解决方法,使协商Agent适合开放（Internet）环境,扩大了协商Agent的协商范围和能力,并用实验验证方法的可行性。     

基于多Agent的合作伙伴选择协商模型

为提高合作伙伴选择的效率和质量,将具有自治性的软件Agent应用于合作伙伴选择系统,提出了基于多Agent的合作伙伴选择系统的框架。定义了Agent的结构,确定了Agent间交互作用的方式,包括协商目标、协商协议和推理模型。     

An agent-based framework for collaborative negotiation in the global manufacturing supply chain network

This paper applies the multi-agent system paradigm to collaborative negotiation in a global manufacturing supply chain network. Multi-agent computational environments are suitable for dealing with a broad class of coordination and negotiation issues involving multiple autonomous or semiautonomous problem solving agents. An agent-based multi-contract negotiation system is proposed for global manufacturing supply chain coordination. Also reported is a case study of mobile phone global manufacturing supply chain management.     

An ontology based approach to organize multi-agent assisted supply chain negotiations

Effective supply chain management (SCM) comprises activities involving the demand and supply of resources and services. Negotiation is an essential approach to solve conflicting transaction and scheduling problems among supply chain members. The multi-agent system (MAS) technology has provided the potential of automating supply chain negotiations to alleviate human interactions. Software agents are supposed to perform on behalf of their human owners only when equipped with sophisticated negotiation knowledge. To better organize the negotiation knowledge utilized by agents and facilitate agents’ adaptive negotiation decision making ability, an ontology-based approach is proposed in this paper. Firstly, the multi-agent assisted supply chain negotiation scheme is presented to configure the general design components of the negotiation system, covering the agent intelligence modules, the knowledge organization method and the negotiation protocol. Then, the ontology-based negotiation knowledge organization method is specified. The negotiation knowledge is separated into shared negotiation ontology and private negotiation ontology to ensure both the agent communicative interoperability and the privacy of strategic knowledge. Inference rules are defined on top of the private negotiation ontology to guide agents’ reasoning ability. Through this method, agents’ negotiation behaviors will be more adaptive to various negotiation environments utilizing corresponding negotiation knowledge.     

Agent-based web service for the design of a dynamic coordination mechanism in supply networks

The theory of network coordination presents an effective approach to improve the business processes within supply networks. The automation of the negotiation process among buyers and suppliers has become an important policy in the transactional networks. This leads to assessing the roles of both quantifiable and non-quantifiable parameters in coordination mechanisms with the aim of achieving higher performance. Here, we develop an e-based supply chain multi-agent model for the design of mass-customized on-line services. The model addresses the bullwhip effect in multi-stage supply chain and also clarifies the evaluation of inventory policies in various supply and demand uncertainties. To illustrate the feasibility of the approach, we implement a prototype system and evaluate its performance by simulation using Colored Petri Nets (CPNs). The validation results reveal the model efficiency in providing a more realistic optimization process that takes the dynamic information flow in uncertainty environments into consideration.     

A Complex Networked Method of Sorting Negotiation Demand Based on Answer Set Programs

With the development of big data science, handling intensive knowledge in the complex network becomes more and more important. Knowledge representation of multi-agent negotiation in the complex network plays an important role in big data science. As a modern approach to declarative programming, answer set programming is widely applied in representing the multi-agent negotiation knowledge in recent years. But almost all the relevant negotiation models are based on complete rational agents, which make the negotiation process complex and low efficient. Sorting negotiation demands is the most key step in creating an efficient negotiation model to improve the negotiation ability of agents. Traditional sorting method is not suitable for the negotiation in the complex network. In this paper, we propose a complex networked negotiation, which can show the relationships among demands, and then a sorting method of negotiation demands is proposed based on demand relationships. What’s more, we use the betweenness of literals and the boundary co-efficient of rules to evaluate the importance of demands and rules.     

Application of the multi-agent approach in production planning and modelling

The paper describes an experimental multi-agent system developed for and aimed at a computer-supported project-oriented production planning. The system is based on a heterogeneous hierarchy of agents of three types that reflect the managerial structure of the manufacturing enterprise. To improve the system efficiency, a new formalism—called tri-base model—of the multi-agent internal communication/negotiation mechanism has been introduced. The tri-base model that has been tested in an industrial environment is treated in detail in the paper.     

制造业供应链产销协同计划冲突协商模型

面对市场竞争日益剧烈和客户需求多样化的趋势,制造业供应链的制造商和经销商努力实现产销协同计划。然而在产销协同计划中时常出现冲突,及时有效消解冲突,能提高整个供应链的协作效率,改善供应链上企业间的合作关系;反之,会降低供应链的运作效率,削弱供应链的竞争力。针对这类冲突问题,引入让步协商策略,在有限信息共享条件下,建立供应链产销协同计划冲突协商模型;设计具有历史提议回顾特点的协商流程;通过文化基因算法,产生反提议生成策略;通过算例验证文化基因算法及冲突协商模型的有效性。     

供应链环境下基于库存约束的多agent协同谈判研究

建立了供应链环境下的多agent协同谈判模型,用于制造商同时与多个下游企业进行动态谈判。对谈判的基本要素进行了描述,探索了这种谈判的具体流程,并提出了一种基于库存约束的谈判策略,最后用原型系统进行了验证。因为协同谈判是在整体的库存约束条件下进行的,谈判结果也是经过管理agent从整体的观点进行评估后形成的,所以制造商在履行订单协议时,不会发生内部资源冲突,提高了订单的履行率。     

Development and evaluation of the many-to-many supplier negotiation strategy

Supply chain is a complex logistics network, consists of suppliers, manufacturers, warehouses, distribution centers, retailers and customers. In general, the number of firms in each supply chain tier is more than one. Thus, the supply–demand relationship of two adjacent tiers in supply chain is the many-to-many type. Most of supplier selection processes are based on bidding and negotiation mechanism. Due to the diversity of intellectual backgrounds of the negotiating parties, competitive nature, many variables involved in supply–demand relationship, complex interactions and inadequate negotiation knowledge of project participants, the supplier negotiation process is sophisticated. This paper intends to develop the many-to-many supplier negotiation process, design the interactive and competitive bidding strategies of both-side parties, and conduct experimental simulations to investigate how the negotiation efficiency influenced by the varying bidding strategies of a considered demander. The purpose of this paper is to explore the relationships between a demander’s bidding strategies and negotiation efficiency under different order and competitive conditions. The explorative results will be the decision support for assisting a demander to determine the proper bidding strategy in many-to-many supplier negotiation process.