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Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).最新文献

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Utilizing fuzzy OLAP mining towards novel approach to multiagent modular reinforcement learning 基于模糊OLAP挖掘的多智能体模块化强化学习新方法
Mehmet Kaya, R. Alhajj
This study proposes novel multiagent learning approach based on utilizing fuzzy mining for modular cooperative learning systems. It incorporates fuzziness and online analytical processing (OLAP) based mining to effectively process the information reported by agents. First, we describe a fuzzy data cube OLAP architecture to facilitate effective storage and processing of the state information reported by agents. This way, the action of the other agent, even not in the visual environment of the agent under consideration, can simply be predicted by extracting online association rules from the constructed data cube. Second, we present a new action selection model, also based on association rules mining. Finally, we generalize not sufficiently experienced states, by mining multi-level association rules from the proposed fuzzy data cube. Experimental results obtained on a well-known pursuit domain show the robustness and effectiveness of the proposed approach.
针对模块化合作学习系统,提出了一种基于模糊挖掘的多智能体学习方法。它结合了模糊和基于在线分析处理(OLAP)的挖掘来有效地处理代理上报的信息。首先,我们描述了一种模糊数据立方体OLAP架构,以方便智能体报告的状态信息的有效存储和处理。通过这种方式,可以简单地通过从构建的数据立方体提取在线关联规则来预测其他代理的动作,即使不是在所考虑的代理的视觉环境中。其次,我们提出了一种新的基于关联规则挖掘的动作选择模型。最后,我们通过从所提出的模糊数据立方中挖掘多级关联规则来泛化经验不足的状态。实验结果表明,该方法具有较好的鲁棒性和有效性。
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引用次数: 1
Socially-based design meets agent capabilities 基于社交的设计符合代理能力
L. Penserini, Manuel Kolp, L. Spalazzi, M. Panti
The area of multiagent system is promising in order to help complex system development, indeed, currently, several agent oriented software methodologies have been proposed. Such methodologies mainly focus on their abstraction ability in order to both easily manage the system complexity and easily isolate the stakeholders' requirements that affect the system architecture. On the contrary, this paper also deals with the above issues, but it pays more attention to the characterization of 'intelligent' agent capabilities. Specifically, to deliver on such a task, the paper focuses on the socially-driven approach of Tropos software design methodology in order to build up an agent-based information system prototype.
多智能体系统是一个很有前途的领域,为了帮助复杂系统的开发,目前已经提出了几种面向智能体的软件方法。这种方法主要关注抽象能力,以方便地管理系统复杂性,并方便地隔离影响系统架构的涉众需求。相反,本文也处理了上述问题,但它更关注“智能”代理能力的表征。具体而言,为了实现这一任务,本文将重点放在Tropos软件设计方法论的社会驱动方法上,以构建基于agent的信息系统原型。
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引用次数: 5
Minority game strategies in dynamic multi-agent role assignment 动态多智能体角色分配中的少数博弈策略
Tingting Wang, Jiming Liu, Xiaolong Jin
In a team-based competitive game, agents cooperate to enhance their collective performance in winning the game. An interesting research problem in a team-based game is the role assignment problem (RAP). The problem requires agents to decide their respective roles based on real-time feedback from a dynamically changing environment. The minority game (MG), as used in modeling financial marketing problems, has shown similar characteristics that meet the fundamental requirements of RAP. We propose a formulation of MG strategies for studying RAP in a specific team-based game: RoboCup simulation league (RSL). Through experimentation, we demonstrate that MG strategies improve the effectiveness of role assignment among agents. The improvement validates some characteristics, e.g., the phase transition phenomenon on the memory size, as discovered in the theoretical MG model.
在以团队为基础的竞争博弈中,代理通过合作来提高他们的集体表现,从而赢得博弈。在基于团队的游戏中,一个有趣的研究问题是角色分配问题(RAP)。该问题要求代理根据动态变化的环境的实时反馈来决定各自的角色。在金融营销问题建模中使用的小众博弈(MG)具有类似的特点,符合RAP的基本要求。我们提出了一种MG策略来研究基于团队的特定游戏:机器人世界杯模拟联赛(RSL)中的RAP。通过实验,我们证明了MG策略提高了agent之间角色分配的有效性。该改进验证了理论MG模型中发现的一些特性,例如存储器大小的相变现象。
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引用次数: 11
Power and dependence relations in groups of agents 主体群体中的权力与依赖关系
G. Boella, L. Sauro, Leendert van der Torre
We present a formal model of multiagent systems to analyze the relations of power and dependence underlying group behaviors such as cooperation. Inspired by the work of Castelfranchi we define these relations by means of a description of goals and skills of single agents. We show how our framework can be used to describe social and organizational structures as emergent properties of a collection of individuals.
我们提出了一个多智能体系统的形式化模型来分析群体行为(如合作)背后的权力和依赖关系。受Castelfranchi工作的启发,我们通过对单个代理的目标和技能的描述来定义这些关系。我们展示了如何使用我们的框架将社会和组织结构描述为个体集合的紧急属性。
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引用次数: 24
Agent dynamic cooperation based information retrieval 基于Agent动态协作的信息检索
Kai Gao, Yongcheng Wang, Zhiqi Wang
We propose a dynamic cooperation model for different agents' message exchanging. Besides, we propose a new algorithm, which makes it easy to transform a traditional Boolean logical query statement into a matrix. This method allows a document might be retrieved in a clear Boolean view even it matches the query partially. On the base of them, we implement an agent-based selective information retrieval. Parallel crawlers make the prototype scalability and network-load reduction. The focused crawler makes it easy to find as many relevant pages and as few irrelevant pages as possible. Through experiments, we show the results.
提出了一种不同智能体信息交换的动态合作模型。此外,我们还提出了一种新的算法,使传统的布尔逻辑查询语句可以很容易地转化为矩阵。该方法允许在一个清晰的布尔视图中检索文档,即使它部分匹配查询。在此基础上,实现了基于agent的选择性信息检索。并行爬虫使原型具有可伸缩性并降低了网络负载。集中的爬虫可以很容易地找到尽可能多的相关页面和尽可能少的不相关页面。通过实验,给出了实验结果。
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引用次数: 2
A novel self-configuration mechanism for heterogeneous P2P networks 一种新的异构P2P网络自配置机制
J. Wang, M. Vanninen
We propose a simple and efficient mechanism to self-configure semi-structured overlay networks for heterogeneous peer-to-peer systems with no global knowledge. The overlay network is constructed as a hierarchical graph based on peer power which is an aggregate measure of available resources. We use index based, random walk JOIN and LEAVE protocols to build the overlay network in which node degree and workload correspond to its peer power. We also propose an index based query scheme for peers to search documents in the network. Performance studies demonstrate that the proposed self-configuration protocol and search scheme are efficient and viable. The self-configured P2P network has significantly lower query cost than traditional Gnutella-like P2P systems. We further propose a caching assisted query mechanism where query results are cached by intermediate nodes along the search path, thereby exploiting the surplus storage power of the peers and further improving query efficiency. Caching assisted query permits a quicker response to subsequent queries for popular data without incurring the excessive overhead of globally replicated directory information. Our experimental study reveals that the caching assisted query provides an additional reduction of up to 40% in messages needed per query.
我们提出了一种简单有效的机制来自配置异构点对点系统的半结构化覆盖网络,无需全局知识。该覆盖网络是基于可用资源的聚合度量peer power的分层图。我们使用基于索引的随机行走JOIN和LEAVE协议来构建覆盖网络,其中节点度和工作负载对应于其对等体功率。我们还提出了一种基于索引的对等体查询方案来搜索网络中的文档。性能研究表明,所提出的自配置协议和搜索方案是有效可行的。自配置P2P网络与传统的类gnutella P2P系统相比,查询成本明显降低。我们进一步提出了一种缓存辅助查询机制,将查询结果沿搜索路径由中间节点缓存,从而利用对等节点的多余存储能力,进一步提高查询效率。缓存辅助查询允许更快地响应对流行数据的后续查询,而不会产生全局复制目录信息的过多开销。我们的实验研究表明,缓存辅助查询可以将每个查询所需的消息额外减少多达40%。
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引用次数: 9
Economic model of TAC SCM game TAC供应链博弈的经济模型
Dongmo Zhang, K. Zhao
This work presents an economic model to the problem of supply chain management in trading agent competition (TAC SCM). The TAC SCM marketplace is characterized by the combination of quantity competition and price competition between manufacturers (agents). We specify the quantity competition by a variation of Cournot model and view the price competition as an extension of Bertrand game. An approach of smooth-regression is introduced to copy with the non-linear fluctuation of product price by using linear price model. The results of the paper provide the solutions to the decision-making problems in TAC SCM trading agent design, including daily production, product pricing and component procuring.
本文对贸易代理竞争中的供应链管理问题提出了一个经济模型。TAC供应链市场的特点是制造商(代理商)之间的数量竞争和价格竞争相结合。我们通过古诺模型的一种变体来指定数量竞争,并将价格竞争看作贝特朗博弈的一种扩展。采用线性价格模型,引入了一种平滑回归的方法来模拟产品价格的非线性波动。本文的研究结果为TAC SCM交易代理设计中的决策问题提供了解决方案,包括日常生产、产品定价和零部件采购。
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引用次数: 6
Situation awareness in intelligent agents: foundations for a theory of proactive agent behavior 智能代理的情境感知:主动代理行为理论的基础
Raymond So, L. Sonenberg
This work outlines a computational model of situation awareness. This model serves two purposes. First, it provides a detailed description for our everyday notion of situation awareness. Second, it offers an alternative perspective of looking into the nature and characteristics of proactive behavior in intelligent agent systems. Most of the existing definitions of proactiveness do not possess the relevant details to encourage rigorous studies of enhancing an agent's capability to anticipate and deal with foreseeable situations. This work intends to fill this gap by suggesting a working definition of proactiveness, which place additional emphasis on its underpinning cognitive process and its role in directing an agent's attention. A brief discussion of using situation awareness as meta-level control to direct a resource-bounded agent's attention is also included.
这项工作概述了一个态势感知的计算模型。这种模式有两个目的。首先,它为我们日常的态势感知概念提供了详细的描述。其次,它提供了另一种视角来研究智能代理系统中主动行为的性质和特征。大多数现有的对主动性的定义都不具备相关的细节,以鼓励对提高代理人预测和处理可预见情况的能力进行严格的研究。这项工作旨在通过提出主动性的工作定义来填补这一空白,该定义额外强调其基础认知过程及其在指导代理注意力方面的作用。本文还简要讨论了如何使用情境感知作为元级控制来引导资源受限代理的注意力。
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引用次数: 54
A dynamically formed hierarchical agent organization for a distributed content sharing system 分布式内容共享系统中动态形成的分层代理组织
Haizheng Zhang, V. Lesser
The organization and collaborative protocols of agent societies are becoming increasingly important with the growing size of agent networks. Particularly, in a multi-agent based content sharing system, a flat, peer-to-peer (P2P) agent organization is not the most efficient organization for locating relevant agents for queries. This work develops and analyzes a hierarchical agent group formation protocol to build a hybrid organization for large-scale content sharing system as well as a content-aware distributed search algorithm to take advantage of such an organization. During the organization formation process, the agents manage their agent-view structures to form a hierarchical topology in an incremental fashion. The algorithm aims to place those agents with similar content in the same group. We evaluate the system performance based on TREC VLC 921 datasets. The results of the experiment demonstrate a significant increase in the cumulative recall ratio (CRR) measure compared to the flat agent organization and structure.
随着智能体网络规模的不断扩大,智能体社会的组织和协作协议变得越来越重要。特别是,在基于多代理的内容共享系统中,扁平的点对点(P2P)代理组织并不是为查询定位相关代理的最有效组织。本文开发并分析了一种分层的agent群形成协议,构建了大规模内容共享系统的混合组织,并利用这种组织构造了一种内容感知分布式搜索算法。在组织形成过程中,代理以增量的方式管理其代理视图结构,形成分层拓扑结构。该算法旨在将具有相似内容的智能体放在同一组中。我们基于TREC VLC 921数据集对系统性能进行了评估。实验结果表明,与扁平的代理组织和结构相比,累积召回率(CRR)测量显着提高。
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引用次数: 21
A multi-agent-based, remote maintenance support and management system 一个基于多代理的远程维护支持和管理系统
Yu Ren, Y. Luqing, F. Chuang
In order to make the maintenance activities in modern industrial enterprise become more and more agile, adaptable, rapid reflect, and low cost, a multi-agent-based remote maintenance support and management system is introduced in the paper. The system tries to integrate the agents distributed in difference lays by cooperation and negotiation, so as to fully utilize the knowledge of the experts from different domains, and make the maintenance decision satisfy the global target of the enterprise. The architecture and the principle of the system are explained in detail, the model of the agents in the system and the technique to realize them is illustrated also.
为了使现代工业企业的维修活动越来越灵活、适应性强、反应速度快、成本低,本文介绍了一种基于多智能体的远程维修支持与管理系统。该系统试图通过合作和协商的方式将分布在不同区域的智能体整合起来,从而充分利用不同领域专家的知识,使维护决策满足企业的全局目标。详细阐述了系统的体系结构和工作原理,给出了系统中各agent的模型和实现技术。
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引用次数: 10
期刊
Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).
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