Model of false-name-proof negotiation protocol for networked resources and its evaluation
网络资源防伪协商协议模型及其评估
基本信息
- 批准号:17500102
- 负责人:
- 金额:$ 2.18万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (C)
- 财政年份:2005
- 资助国家:日本
- 起止时间:2005 至 2006
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research aims to evaluate the market-based fair and efficient protocol, in order to apply it to the allocations of networked resources for its future applications to this domain. In ad hoc networks used in P2P and the decentralized sensor network, for example, individual nodes are owned by different persons and designed based different specifications. In this case, it is necessary to consider the incentives, that is, reward, to transmit data to each node appropriately. The auction protocol is often used for the decision of this reward. However, by using the fake (false-name) node or by conspiring with other nodes, a certain node can acquire the reward illegally in conventional protocols. We theoretically showed that this type of illegal behaviors cannot be prevented even in Vickrey-Clarke-Groves protocol (VCG) in the research period by this grant.We then proposed Reserve-Cost protocol (RC), which is the extension of VCG by introducing the penalty proportional to the number of agen … More ts (nodes) who manage the network route. We also clarified that the RC is false-name proof, that is, the fairness of RC protocol is not influenced by the false-name bids. In addition, we also showed that RC is more efficient than VCG about 60-80% by small-scale network simulation.Moreover, it is necessary for agents to decide, by using some protocols such as auctions, where to receive/send data based on locally available information in an actual network. This corresponds to the selection of an awarder to some degree when multiple bidding agents (this corresponds to servers in this case) are identified as the appropriate for awarders.In this research, we investigated and analyzed the phenomenon occurring when such a resource allocation protocol was used in a large-scale multi-agent system such as network.In this type of systems, many demands like the resource allocation on the network occurs simultaneously from many different agents independently, thus the entire efficiency falls down. We also identified that a little bit of fluctuation can significantly improved the entire performance by avoiding concentration. Less
本研究旨在评估基于市场的公平和高效协议,以便将其应用于网络资源的分配,以实现其在该领域的未来应用。例如,在P2P和分布式传感器网络中使用的自组织网络中,单个节点由不同的人拥有,并根据不同的规范进行设计。在这种情况下,有必要考虑激励,即奖励,以适当地将数据传输到每个节点。拍卖协议通常用于决定这种奖励。然而,在传统协议中,通过使用假(假名)节点或与其他节点合谋,某个节点可以非法获得奖励。我们从理论上证明,即使在研究期间的Vickrey-Clarke-Groves协议(VCG)中也无法阻止这种非法行为。然后提出了Reserve-Cost协议(RC),该协议是VCG的扩展,通过引入与管理网络路由的节点数量成比例的惩罚。我们还澄清了RC是假名证明,即RC协议的公平性不受假名投标的影响。此外,我们还通过小规模网络仿真表明,RC比VCG效率高60-80%。此外,代理有必要根据实际网络中的本地可用信息,通过使用一些协议(如拍卖)来决定在哪里接收/发送数据。当多个投标代理(在本例中对应于服务器)被确定为适合中标者时,这在一定程度上对应于中标者的选择。在本研究中,我们调查和分析了这种资源分配协议在网络等大规模多智能体系统中使用时出现的现象。在这种类型的系统中,许多需求(如网络上的资源分配)同时独立地来自许多不同的代理,从而导致整体效率下降。我们还发现,少量的波动可以通过避免集中而显著提高整体性能。少
项目成果
期刊论文数量(61)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Generalized Vickrey Auction and Suppression of Active Adversary Using Incentive-Compatible
使用激励兼容的广义维克里拍卖和抑制主动对手
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:Makoto Yokoo;Koutarou Suzuki
- 通讯作者:Koutarou Suzuki
Efficiency and Fairness of Load Distribution on Scale-Free Property
无标度特性荷载分配的效率和公平性
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:Kensuke Fukuda;Shin-ya Sato;Osamu Akashi;Kazuhiro Kazama;Toshio Hirotsu;Satoshi Kurihara;Toshiharu Sugawara
- 通讯作者:Toshiharu Sugawara
A Compact Representation Scheme for Coalitional Games in Open Anonymous Environments
开放匿名环境中联盟博弈的紧凑表示方案
- DOI:
- 发表时间:2006
- 期刊:
- 影响因子:0
- 作者:Naoki Ohta;Atsushi Iwasaki;Makoto Yokoo;Kohki Maruono;Vincent Conitzer;Tuomas Sandholm
- 通讯作者:Tuomas Sandholm
多様な興味を持つ専門家と素人が存在する場合の組合せオークション
当有不同兴趣的专家和业余爱好者时进行组合拍卖
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:伊藤 孝行;横尾 真;松原 繁夫
- 通讯作者:松原 繁夫
False-name-proof Combinatorial Auction Protocol:Groves Mechanism with Submodular Approximation
防伪组合拍卖协议:子模逼近的格罗夫斯机制
- DOI:
- 发表时间:2006
- 期刊:
- 影响因子:0
- 作者:Makoto Yokoo;Toshihiro Matsutani;and Atsushi Iwasaki
- 通讯作者:and Atsushi Iwasaki
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
SUGAWARA Toshiharu其他文献
SUGAWARA Toshiharu的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('SUGAWARA Toshiharu', 18)}}的其他基金
Research on autonomous construction of organizational structures and its effect on the efficiency of assignment problem in a multi-agent system
多Agent系统组织结构自主构建及其对指派问题效率的影响研究
- 批准号:
25280087 - 财政年份:2013
- 资助金额:
$ 2.18万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Study on norm emergence and its stability in conflict situations of heterogeneous agent network society
异构主体网络社会冲突情境下的规范涌现及其稳定性研究
- 批准号:
23650075 - 财政年份:2011
- 资助金额:
$ 2.18万 - 项目类别:
Grant-in-Aid for Challenging Exploratory Research
On negotiation protocol/strategy exerting capabilities in large-scale multi-agent systems.
关于在大规模多智能体系统中发挥能力的协商协议/策略。
- 批准号:
22300056 - 财政年份:2010
- 资助金额:
$ 2.18万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Study on scalable negotiation protocol for task allocations in large-scale multi-agent systems
大规模多智能体系统中任务分配的可扩展协商协议研究
- 批准号:
19500138 - 财政年份:2007
- 资助金额:
$ 2.18万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
相似海外基金
CAREER: Strategic Interactions, Learning, and Dynamics in Large-Scale Multi-Agent Systems: Achieving Tractability via Graph Limits
职业:大规模多智能体系统中的战略交互、学习和动态:通过图限制实现可处理性
- 批准号:
2340289 - 财政年份:2024
- 资助金额:
$ 2.18万 - 项目类别:
Continuing Grant
CAREER: Foundations of Scalable and Resilient Distributed Real-Time Decision Making in Open Multi-Agent Systems
职业:开放多代理系统中可扩展和弹性分布式实时决策的基础
- 批准号:
2339509 - 财政年份:2024
- 资助金额:
$ 2.18万 - 项目类别:
Continuing Grant
CAREER: Evolutionary Games in Dynamic and Networked Environments for Modeling and Controlling Large-Scale Multi-agent Systems
职业:动态和网络环境中的进化博弈,用于建模和控制大规模多智能体系统
- 批准号:
2239410 - 财政年份:2023
- 资助金额:
$ 2.18万 - 项目类别:
Continuing Grant
CAREER: Reinforcement Learning-Based Control of Heterogeneous Multi-Agent Systems in Structured Environments: Algorithms and Complexity
职业:结构化环境中异构多智能体系统的基于强化学习的控制:算法和复杂性
- 批准号:
2237830 - 财政年份:2023
- 资助金额:
$ 2.18万 - 项目类别:
Continuing Grant
Collaborative Research: Distributed Bilevel Optimization in Multi-Agent Systems
协作研究:多智能体系统中的分布式双层优化
- 批准号:
2326592 - 财政年份:2023
- 资助金额:
$ 2.18万 - 项目类别:
Standard Grant
Collaborative Research: Distributed Bilevel Optimization in Multi-Agent Systems
协作研究:多智能体系统中的分布式双层优化
- 批准号:
2326591 - 财政年份:2023
- 资助金额:
$ 2.18万 - 项目类别:
Standard Grant
Resilient distributed algorithms for multi-agent systems
多智能体系统的弹性分布式算法
- 批准号:
22KF0137 - 财政年份:2023
- 资助金额:
$ 2.18万 - 项目类别:
Grant-in-Aid for JSPS Fellows
CAREER: Toward Hierarchical Game Theory and Hybrid Learning Framework for Safe, Efficient Large-scale Multi-agent Systems
职业:面向安全、高效的大规模多智能体系统的分层博弈论和混合学习框架
- 批准号:
2144646 - 财政年份:2022
- 资助金额:
$ 2.18万 - 项目类别:
Continuing Grant
Collaborative Research: Mechanical Communication for Multi-agent Systems
协作研究:多智能体系统的机械通信
- 批准号:
2140036 - 财政年份:2022
- 资助金额:
$ 2.18万 - 项目类别:
Standard Grant
Collaborative Research: Mechanical Communication for Multi-agent Systems
协作研究:多智能体系统的机械通信
- 批准号:
2140118 - 财政年份:2022
- 资助金额:
$ 2.18万 - 项目类别:
Standard Grant














{{item.name}}会员




