存货影响销售量的两阶段供应链的VMI协调

研究在VMI环境下存货影响销售量的单供应商、单零售商的两阶段供应链的协调问题。建立了集中决策下的供应链模型,求出了整体供应链的利润函数;在分散决策下,采用收益共享契约对供应链进行协调,按Stackelberg博弈方式进行建模分析,发现收益共享契约无法协调供应链,即在利益分配上,与供应商相比,零售商获得了更多的供应链收益,而且分散式系统的收益始终低于集中决策下的水平;采用Nash协商对VMI供应链进行协调,完成了供应商和零售商收益的帕累托改进,不仅实现供应链的协调,而且达到了集中决策下的水平,最后通过算例进行了验证。     

基于语义网技术的服务等级协议协商机制

针对服务等级协议(SLA)的自动协商中用于协商的SLA元素及协商过程缺乏语义描述的问题,提出了一种基于语义网技术的SLA协商机制。首先提出一种协商本体Osn,该本体专门描述直接用于协商过程的SLA元素;设计了SLA协商元素的映射函数及协商评估函数并使用Osn描述这些函数,基于描述逻辑对Osn的主要概念及概念之间的关系给出了形式化描述,为Osn提供了可满足的语义模型。进而提出了一种针对SLA协商的讨价还价模型,通过对有关命题及定理的证明说明采用该模型可以形成帕累托最优的协商出价;采用该模型基于OWL-S与统一建模语言(UML)的映射关系设计了针对SLA协商的服务本体。实例研究的结果表明Osn描述的知识可以形成满足协商参与者利益最大化需求的出价序列。从而说明:Osn可以对服务本体提供针对任意SLA协商的参数类型支持;面向SLA协商的讨价还价模型可以形成双方可接受的SLA。     

煤矿救灾机器人的摆臂结构设计

关节式煤矿救灾机器人若采用主动摆臂形式,在越障过程中,摆臂的控制较为复杂。为了简化机器人控制,在主动式关节机器人的基础上引入柔性关节,并对摆臂的结构进行优化。分析了该机器人水平状态受力情况,并据此对摆臂的参数进行确定,使其具有较好的越障性能。     

Negotiation support for Make-To-Order operations in business-to-business electronic commerce

This paper deals with the problem of supporting negotiations among manufacturing firms that operate on a Make To Order (MTO) basis. First, an analytical model of negotiation between a generic customer–supplier pair is presented. Then, the paper proposes a system based upon an intervenor which allows the parties to reach efficient utility-sharing solutions. Results of numerical experiments in an industrial environment are reported.     

"Team negotiation: An examination of integrative and distributive bargaining": Correction.

Reports an error in "Team negotiation: An examination of integrative and distributive bargaining" by Leigh Thompson, Erika Peterson and Susan E. Brodt (Journal of Personality and Social Psychology, 1996[Jan], Vol 70[1], 66-78). Susan E. Brodt's department affiliation was listed incorrectly on p. 66. Her correct affiliation is The Fuqua School of Business, Duke University. (The following abstract of the original article appeared in record 1996-01707-006.) Two experiments compared the effectiveness of team and solo negotiators in integrative and distributive bargaining. When at least 1 party to a negotiation was a team, joint profit increased. Teams, more than solos, developed mutually beneficial trade-offs among issues and discovered compatible interests. The presence of at least 1 team increased information exchange and accuracy in judgments about the other party's interests in comparison with solo negotiations. The belief by both teams and solos that teams have a relative advantage over solo opponents was not supported by actual outcomes. Unexpectedly, neither private meetings nor friendships among team members improved the team's advantage. Teams of friends made less accurate judgments and reached fewer integrative agreements compared to teams of nonfriends. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Development of negotiation expert system for subtransmission system planning

Recently, the task of planning in power systems is becoming a very complicated process for utility planners. This kind of planning has many objectives to accomplish. This paper employs the negotiation algorithm, which was proposed by the Chen-Ching Liu group for subtransmission power system planning to create a plan having many objectives. First, the goal-decision network (GDN) is constructed to model this planning problem, and the negotiation algorithm is applied to utilize both subtransmission system planning GDN, which attempts to capture its knowledge, and negotiation operators, which search for the most feasible and promising decisions in this planning GDN. Finally, the negotiation expert system is demonstrated for the subtransmission system planning using a real system.     

Applying Dialectic Agents to Argumentation in E-Commerce

Reaching an agreement or understanding through argumentation is an important aspect of decision making in a virtual society as well as in our real society. In this paper, we consider compromise (Aufheben) and concession (weaker Aufheben) as a simple form of Hegelian dialectical reasoning, which we think are desiderata to deliberate or cognitive agents. We then propose an argument-based agent system that allows for the issue modification among agents concerned during argumentation and reaching an agreement or understanding through argumentation with the dialectical reasoning capability. We illustrate its potential usefulness by showing applications to seller and buyer agents and traveling salesman agents in e-commerce.     

Trends in distributed artificial intelligence

Distributed artificial intelligence (DAI) is a subfield of artificial intelligence that deals with interactions of intelligent agents. Precisely, DAI attempts to construct intelligent agents that make decisions that allow them to achieve their goals in a world populated by other intelligent agents with their own goals. This paper discusses major concepts used in DAI today. To do this, a taxonomy of DAI is presented, based on the social abilities of an individual agent, the organization of agents, and the dynamics of this organization through time. Social abilities are characterized by the reasoning about other agents and the assessment of a distributed situation. Organization depends on the degree of cooperation and on the paradigm of communication. Finally, the dynamics of organization is characterized by the global coherence of the group and the coordination between agents. A reasonably representative review of recent work done in DAI field is also supplied in order to provide a better appreciation of this vibrant AI field. The paper concludes with important issues in which further research in DAI is needed.     

多人冲突决策研究综述

对多人冲突决策的研究现况进行了综述，给出了冲突决策的一些基本概念，并分析了国内外的研究进展和发展趋势。     

基于多议题协商的贝叶斯学习

随着Internet的日益完善和电子商务的普及,如何快速、高效地进行agent协商学习是必须面对和解决的一个重要问题。文中从买方agent的观点出发,在协商过程中采用贝叶斯学习机制进行在线更新对方agent的信念,从而缩短了协商时间,提高了协商效率,并实验说明了其可行性。