Interactive Evolutionary Computation with Generative Interaction
Interactive Evolutionary Computation with Generative Interaction
批准号:
17300072
负责人:
IBA Hitoshi
金额:
$4.61万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
2005
资助国家:
日本
项目状态:
已结题
起止时间:
2005 至 2006
中文摘要
进化算法已被应用于各种问题,并被认为是解决问题的强有力的方法。在本研究中,我们建立了一个基于交互式进化计算的生成交互框架。更确切地说,我们已经证明了所提出的方法的有效性,在以下几个方面:1。在计算金融领域,我们设计了一个基于归纳遗传编程(IGP)的时间序列预测模型,该模型能够以非常高的精度预测价格趋势。我们已经使用这种技术来理解股票和外汇市场之间的经验差异。我们提出了一种新的IEC接口,它采用了积极的音乐播放接口的作曲辅助系统。在新的界面中,系统激励用户,在不使用任何过滤技术的情况下减轻他们的负担。我们进行了实验,受试者使用新界面来验证它。 ...更多信息 结果表明,与其他音乐创作界面相比,新界面更能激励用户使用IEC系统进行创作.我们试图实现一种直观的运动设计方法,可以用于没有机器人专业知识的人来操作人形机器人。在我们的方法中,所需的运动设计使用IEC作为一个直观的方法,人形机器人的运动设计,是针对没有专门的机器人知识,没有大型设备的人。稳定运动的设计是通过使用所需的ZMP(即。例如,零力矩点)。模块数、结构和控制器是统一模块化机器人的主要参数。其中,模块的数量决定了系统的资源量、鲁棒性和容错性。IEC技术已成功地应用于解决这些设计问题。我们涵盖了模块数量的最佳形状的动态变化。我们的实验结果表明,爬山法是不适合这个问题。少
英文摘要
Evolutionary Algorithms have been applied to variety of problems and are considered to be powerful ways for solving problems. In this research, we have established an framework of generative interaction based on the interactive evolutionary computation. More precisely, we have demonstrated the effectiveness of the proposed approach in the following ways:1. In the field of computational finances, we have designed a model based on Inductive Genetic Programming (IGP) for Time Series prediction that was able to predict price trends with remarkable precision. We have used this technique to understand the empirical differences between the stock and foreign exchange markets.2. We proposed a new IEC interface which adopts an active musical playback interface for a composition-aid system. In the new interface, the system motivates its users, reducing their burden without the use of any filtering techniques. We performed experiments where subjects use the new interface to validate it. The result … More s showed that the new interface is better to motivate users to compose with an IEC system than other musical creation interfaces.3. We have tried to achieve a method of intuitive motion design that could be used by people who have no specialized knowledge of robotics in order to operate humanoid robots. In our method, the desired motion is designed using IEC as an intuitive method of motion design for humanoid robots and is aimed at people with no specialized knowledge of robotics and with no large-scale equipment. The design of stable motions was achieved with the usage of the desired ZMP (i. e., zero moment point).4. The number of modules, structure and controller are main parameters for the uniform modular robots. Among them, the number of modules decides amount of resources, robustness and fault tolerance. IEC technique has been successfully applied to resolve these design problems. We covered dynamic alteration of the optimal shapes by the number of modules. Our experimental results have shown the hill-climbing method is not fit to this problem. Less
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DOI:
10.1145/1068009.1068079
发表时间:
2005-06
期刊:
影响因子:
--
作者:
[N. Noman;H. Iba]
通讯作者:
N. Noman;H. Iba
DOI:
10.1145/1068009.1068081
发表时间:
2005-06
期刊:
影响因子:
--
作者:
[T. Paul;H. Iba]
通讯作者:
T. Paul;H. Iba
ヒューマノイドロボットの柔軟な制御のためのGPとCBRの統合
GP与CBR集成,灵活控制人形机器人
DOI:
--
发表时间:
2006
期刊:
日本ロボット学会誌 24・1
影响因子:
--
作者:
[劉 宏偉, 伊庭 斉志]
通讯作者:
伊庭 斉志
Probabilistic Distribution Models for EDA-based GP
基于 EDA 的 GP 的概率分布模型
DOI:
--
发表时间:
2005
期刊:
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005)
影响因子:
--
作者:
[Yanai, K., Iba, H.]
通讯作者:
H.
DOI:
10.1109/cec.2007.4424585
发表时间:
2007-09
期刊:
2007 IEEE Congress on Evolutionary Computation
影响因子:
--
作者:
[Yoshihiko Hasegawa;H. Iba]
通讯作者:
Yoshihiko Hasegawa;H. Iba
共 29 条
Program evolution of genetic programming based on probabilistic grammar
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批准号:21300090
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$9.4万
-
财政年份:2009
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负责人:IBA Hitoshi
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依托单位:
Program Evolution by means of Estimation of Distribution Programming
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批准号:19300075
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$5.91万
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财政年份:2007
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负责人:IBA Hitoshi
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依托单位:
Researches on Emergent Design by means of Interactive Evolutionary Computation and Genetic Programming
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批准号:15300040
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$5.44万
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财政年份:2003
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负责人:IBA Hitoshi
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依托单位:
Evolutionary Design by means of Genetic Programming
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批准号:13480088
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$3.97万
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财政年份:2001
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负责人:IBA Hitoshi
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依托单位:
No-linear systematic understanding of genome-protein dynamics
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批准号:12208004
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项目类别:Grant-in-Aid for Scientific Research on Priority Areas
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资助金额:$46.66万
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财政年份:2000
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负责人:IBA Hitoshi
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依托单位:
Co-evolutionary Multi-agent Learning by means of Genetic Programming
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批准号:11480071
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项目类别:Grant-in-Aid for Scientific Research (B).
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资助金额:$4.61万
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财政年份:1999
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负责人:IBA Hitoshi
-
依托单位:
海外基金