Server-Assisted Bandwidth Negotiation Mechanism for Parallel Segment Retrieval of Web Objects

2005 ◽  
pp. 883-890
Author(s):  
Chi-Hung Chi ◽  
Hongguang Wang ◽  
William Ku
Keyword(s):  
Web Objects ◽  
Negotiation Mechanism

An Emotion-driven Negotiation Mechanism of Selfish Nodes in the MANETs

2011 ◽  
Vol 33 (6) ◽  
pp. 1294-1300
Author(s):  
Yang Yang ◽  
Xue-song Qiu ◽  
Luo-ming Meng ◽  
Zhi-peng Gao
Keyword(s):  
Selfish Nodes ◽  
Negotiation Mechanism

Finding top-k relevant groups of spatial web objects

2015 ◽  
Vol 24 (4) ◽  
pp. 537-555 ◽  
Author(s):  
Anders Skovsgaard ◽  
Christian S. Jensen
Keyword(s):  
Web Objects

A pervasive P3P-based negotiation mechanism for privacy-aware pervasive e-commerce

2010 ◽  
Vol 50 (1) ◽  
pp. 213-221 ◽  
Author(s):  
Ohbyung Kwon
Keyword(s):  
Negotiation Mechanism

scholarly journals Value Co-creative Manufacturing System for Mass Customization: Concept of Smart Factory and Operation Method Using Autonomous Negotiation Mechanism

Procedia CIRP ◽  
2017 ◽  
Vol 63 ◽  
pp. 727-732 ◽  
Author(s):  
Shota Suginouchi ◽  
Daisuke Kokuryo ◽  
Toshiya Kaihara
Keyword(s):  
Mass Customization ◽  
Manufacturing System ◽  
Smart Factory ◽  
Operation Method ◽  
Negotiation Mechanism

scholarly journals A Faithful Mechanism for Incremental Multi-Agent Agreement Problems with Self-Interested and Privacy-Preserving Agents

2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Farzaneh Farhadi ◽  
Nicholas R. Jennings
Keyword(s):  
Information Leakage ◽  
Optimal Strategies ◽  
Privacy Preserving ◽  
Limited Attention ◽  
Limited Information ◽  
Multi Agent Systems ◽  
Negotiation Strategies ◽  
Multi Agent ◽  
Theoretical And Numerical Analysis ◽  
Negotiation Mechanism

AbstractDistributed multi-agent agreement problems (MAPs) are central to many multi-agent systems. However, to date, the issues associated with encounters between self-interested and privacy-preserving agents have received limited attention. Given this, we develop the first distributed negotiation mechanism that enables self-interested agents to reach a socially desirable agreement with limited information leakage. The agents’ optimal negotiation strategies in this mechanism are investigated. Specifically, we propose a reinforcement learning-based approach to train agents to learn their optimal strategies in the proposed mechanism. Also, a heuristic algorithm is designed to find close-to-optimal negotiation strategies with reduced computational costs. We demonstrate the effectiveness and strength of our proposed mechanism through both game theoretical and numerical analysis. We prove theoretically that the proposed mechanism is budget balanced and motivates the agents to participate and follow the rules faithfully. The experimental results confirm that the proposed mechanism significantly outperforms the current state of the art, by increasing the social-welfare and decreasing the privacy leakage.

Developing Schemas for the Location of Common Web Objects

2001 ◽  
Vol 45 (15) ◽  
pp. 1161-1165 ◽  
Author(s):  
Michael L. Bernard
Keyword(s):  
Web Objects

scholarly journals Mental models for web objects: Where do users expect to find the most frequent objects in online shops, news portals, and company web pages?

2010 ◽  
Vol 22 (2) ◽  
pp. 140-152 ◽  
Author(s):  
Sandra P. Roth ◽  
Peter Schmutz ◽  
Stefan L. Pauwels ◽  
Javier A. Bargas-Avila ◽  
Klaus Opwis
Keyword(s):  
Mental Models ◽  
Web Pages ◽  
Web Objects ◽  
Online Shops

A Multi-Stage Negotiation Mechanism with Service-Oriented Implementation

ICCS 2007 ◽  
2007 ◽  
pp. 131-138
Author(s):  
Jiaxing Li ◽  
Chen-Fang Tsai ◽  
Yinsheng Li Jen-Hsiang Chen ◽  
Kuo-Ming Chao
Keyword(s):  
Multi Stage ◽  
Service Oriented ◽  
Negotiation Mechanism
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