找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Agent-Mediated Electronic Commerce. Automated Negotiation and Strategy Design for Electronic Markets; Automated Negotiatio Maria Fasli,Onn

[复制链接]
楼主: stripper
发表于 2025-3-26 22:52:05 | 显示全部楼层
发表于 2025-3-27 04:55:16 | 显示全部楼层
发表于 2025-3-27 05:17:52 | 显示全部楼层
Evolutionary Optimization of ZIP60: A Controlled Explosion in Hyperspace,ets. The original ZIP algorithm requires the values of eight control parameters to be set correctly. A new extension of the ZIP algorithm, called ZIP60, requires the values of 60 parameters to be set correctly. ZIP60 is shown here to produce significantly better results than the original ZIP (called
发表于 2025-3-27 10:36:37 | 显示全部楼层
发表于 2025-3-27 16:39:54 | 显示全部楼层
On Efficient Procedures for Multi-issue Negotiation,the issues and each of these gives a different outcome. Thus, a key problem is to decide which one to use. Given this, we study the three main alternatives: the ., the ., and the .. First, we determine equilibria for the case where each agent is uncertain about its opponent’s deadline. We then compa
发表于 2025-3-27 20:51:09 | 显示全部楼层
发表于 2025-3-28 00:57:44 | 显示全部楼层
Market Efficiency, Sales Competition, and the Bullwhip Effect in the TAC SCM Tournaments,he tournament, in addition to prior measures of agent competency through customer bidding. Using these benchmarks we find statistically significant increases in intratournament market efficiency, whereas agents are generally decreasing in manufacturer market power. We find that agent market share an
发表于 2025-3-28 03:27:03 | 显示全部楼层
发表于 2025-3-28 09:03:59 | 显示全部楼层
A Fast Method for Learning Non-linear Preferences Online Using Anonymous Negotiation Data,cilitate the shop agent’s search for mutually beneficial alternative bundles, we develop a method for online learning customers’ preferences, while respecting their privacy. By introducing additional parameters, we represent customers’ highly nonlinear preferences as a linear model. We develop a met
发表于 2025-3-28 13:38:47 | 显示全部楼层
Adaptive Pricing for Customers with Probabilistic Valuations,e copies of a good. We show that under certain assumptions this problem can be reduced to the continuous knapsack problem (CKP). We present a new fast .-optimal algorithm for solving CKP instances with asymmetric concave reward functions. We also show that our algorithm can be extended beyond the CK
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-17 07:59
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表