Learning to bid in sequential Dutch auctions

We propose an agent-based computational model to investigate sequential Dutch auctions with particular emphasis on markets for perishable goods and we take as an example wholesale fish markets. Buyers in these markets sell the fish they purchase on a retail market. The paper provides an original model of boundedly rational behavior for wholesale buyers׳ behavior incorporating learning to improve profits, conjectures as to the bids that will be made and fictitious learning. We analyze the dynamics of the aggregate price under different market conditions in order to explain the emergence of market price patterns such as the well-known declining price paradox and the empirically observed fact that the very last transactions in the day may be at a higher price. The proposed behavioral model provides alternative explanations for market price dynamics to those which depend on standard hypotheses such as diminishing marginal profits. Furthermore, agents learn the option value of having the possibility of bidding in later rounds. When confronted with random buyers, such as occasional participants or new entrants, they learn to bid in the optimal way without being conscious of the strategies of the other buyers. When faced with other buyers who are also learning their behavior still displays some of the characteristics learned in the simpler case even though the problem is not analytically tractable.     

基于动态数据驱动的半导体生产线调度仿真

针对半导体晶圆生产的特点,研究了基于动态数据驱动的半导体生产调度仿真系统。系统通过实时采集半导体生产线上的动态数据监控生产过程,并且根据仿真数据和生产数据的差异,及时识别扰动,驱动系统重调度仿真。系统通过混合知识表示形成基于半导体生产调度因素、调度策略和调度方法的知识网络,运用JESS实现动态调度策略实时推理。并且利用多Agent强大的模型描述能力和分布式问题求解能力提高仿真的实时性。仿真结果表明,系统具有很好的实时性和动态适应性,能够保持生产的稳定运行。     

基于Multi-agent的军事虚拟仓库的构建和运行研究

以Multi-agent技术以及虚拟物流理论为基础,提出了以管理Agenl、资源Agent、调度Agent和任务Agent为主体的军事虚拟仓库体系结构,并应用生命周期法对军事虚拟仓库的运行机制进行了分析.     

Complexity and the limits to learning

In this paper we look at the manner in which ideas coming from complexity science change our understanding of the cognitive powers of agents that is really necessary to explain the evolution of markets and of firms. The general ideas behind complex systems dynamics and evolution are presented and then two examples are treated in detail. The first in an evolutionary model of a market in which some new product is developed by competing firms and their “task” is to find a strategy in terms of quality and price that will be sustainable. This essentially requires agents/firms to discover mutually compatible strategies, and to create thereby sustainable market niches. The second example considers the internal structure of firms, in terms of their constituent working practices and skills. It demonstrates that it is precisely their ignorance of the consequences of adopting any particular practice that generates diversity in the emergent capabilities of firms, exploring the dimension of potential demand and therefore leading to a successful and sustainable business sector. The work supports the notion that the cognitive abilities that are involved are not about deduction and logic, as a traditional view of rationality might suggest, but are about the development and contraction of interpretive frameworks, which will be different for each player. The paper links these examples to a general recognition of the idea that complex, multi-agent systems evolve through successive “structural attractors”—multi-dimensional dynamical systems—with temporary structural stability. Because real systems contain both the structure and deviations from it, then there is a constant probing of structural stability and the possibility of qualitative change to a new structural attractor. This resembles the ideas in biological evolution related to “punctuated equilibria,” but it also links this to the idea of emergent and evolving networks of interaction, never of course near thermodynamic equilibrium.      

基于Multi-agent的虚拟企业信息集成模型研究

文章在对虚拟企业的层级结构及其层级结构下信息集成管理的需求进行分析的基础上,使用核心管理Agent、服务器Agent、客户Agent以及资源Agent构建了虚拟企业信息集成模型,该模型由服务器层、客户层、资源层组成,其中核心管理Agent通过服务器层对其它Agent进行管理。     

Disruption management in distributed enterprises: A multi-agent modelling and simulation of cooperative recovery behaviours

Disruption management in industrial areas consists in dealing with unanticipated events that get the plans deviate from their intended course. The solution results from the design and the maintenance of an operating mode ensuring a relevant deployment of individual recovery behaviours.The paper proposes an approach to minimize the impact of disrupting events on the whole system. It is based on an analysis of disrupting events and the characterization of the recovery process, and on a cooperative repair method for distributed industrial systems. This method is based on a cooperative distributed problem solving approach supported by a multi-agent system framework.     

基于Multi-agent的区域产业集群模块化升级研究

从决策主体有限理性角度 ,引入行为金融于区域产业发展集群升级管理体系 ,以Friedman和Savage之谜为释例 ,给出了其异常现象的行为金融解释。提出了行为金融范式下区域产业集群升级管理六要素 ,利用模块化思想构建了基于Multi-agent的区域产业集群升级管理模式 ,指出了各要素之间的优化机理 ,强调战略、组织、方法、信息、文化和过程的有机融合     

Affinities between multi-agent systems and service-dominant logic: Interactionist implications for business marketing practice

The contrasting marketing principles of service-dominant (S-D) logic and goods-dominant (G-D) logic are examined in this article from the perspective of current research themes in the information science community. The conclusion is reached that much of the distributed multi-agent literature is complementary to the issues being explored concerning S-D logic, and that some multi-agent research may therefore be pertinent to the business marketing community. This article discusses the modelling approach of interactionism as an underlying principle of both S-D logic and multi-agent systems technology. The two domain technologies are compared, and implications for business marketing practice proposed.     

An autonomous multi-agent approach to supply chain event management

Organizations have made a significant effort to implement software for planning and scheduling, but disruptive event management is still a problem to be solved. Since a disruptive event can affect the overall performance of the supply chain, SCEM (Supply Chain Event Management) systems presenting different automation levels such as monitoring, alarm and decision support have been proposed. However, the management of disruptive events, taking into account the distributed nature of the supply chain, the members' autonomy and the ability to exert corrective control actions, has been identified as a problem that requires further research. This work presents an agent-based approach for the SCEM problem, which can perform autonomous corrective control actions to minimize the effect of deviations in the plan that is currently being executed. These control actions consist of a distribution of the variation between supply chain members, using the plan's slack in a collaborative way. An innovative feature of this approach is its focus on resources, which are affected by disruptive events in a direct way. Based on this approach, a SCEM system is designed as a net of control points defined on resources connected through supply process orders. Two novel aspects are the distributed collaborative inter-organizational architecture of the SCEM system and a Double Contract Net Protocol. This protocol allows a set of resource:representing agents to interact through an agent, representing a supply process order as a mediator. An application to a case study of the Multi-Agent SCEM system implemented with JADE is provided.     

基于Agent的军队后勤物资保障仿真系统研究

论文提出了一种基于多Agent的物资保障仿真系统模型。首先简单介绍了基于Agent的建模方法,然后对军队后勤物资保障系统进行了分析和个体Agent抽象,着重对个体Agent中的物资仓库Agent、后勤指挥Agent进行了详细分析和建模,通过对Agent间结构和协调关系的分析,最终得出了系统的多Agent体系结构模型。最后对模型的实际应用前景作了展望。