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

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

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.

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

scholarly journals A Study of Distributed Earth Observation Satellites Mission Scheduling Method Based on Game-Negotiation Mechanism

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6660
Author(s):  
Lihao Liu ◽  
Zhenghong Dong ◽  
Haoxiang Su ◽  
Dingzhan Yu
Keyword(s):  
Dynamic Scheduling ◽  
Environmental Changes ◽  
Search Algorithm ◽  
Integrated Management ◽  
Scheduling Algorithm ◽  
Earth Observation ◽  
Scheduling Problems ◽  
Satellite Systems ◽  
Earth Observation Satellites ◽  
Negotiation Mechanism

While monolithic giant earth observation satellites still have obvious advantages in regularity and accuracy, distributed satellite systems are providing increased flexibility, enhanced robustness, and improved responsiveness to structural and environmental changes. Due to increased system size and more complex applications, traditional centralized methods have difficulty in integrated management and rapid response needs of distributed systems. Aiming to efficient missions scheduling in distributed earth observation satellite systems, this paper addresses the problem through a networked game model based on a game-negotiation mechanism. In this model, each satellite is viewed as a “rational” player who continuously updates its own “action” through cooperation with neighbors until a Nash Equilibria is reached. To handle static and dynamic scheduling problems while cooperating with a distributed mission scheduling algorithm, we present an adaptive particle swarm optimization algorithm and adaptive tabu-search algorithm, respectively. Experimental results show that the proposed method can flexibly handle situations of different scales in static scheduling, and the performance of the algorithm will not decrease significantly as the problem scale increases; dynamic scheduling can be well accomplished with high observation payoff while maintaining the stability of the initial plan, which demonstrates the advantages of the proposed methods.

Multiagent Based Dynamic Resource Control for Decentralized Multi-Project Using Combinatorial Exchange

2012 ◽  
Vol 532-533 ◽  
pp. 566-570
Author(s):  
Lei Wang ◽  
De Chen Zhan ◽  
Lan Shun Nie ◽  
Dian Hui Chu ◽  
Xiao Fei Xu
Keyword(s):  
Decision Making ◽  
Optimization Method ◽  
Resource Control ◽  
Modern Times ◽  
Distributed Decision Making ◽  
Project Environment ◽  
Multi Agent ◽  
Dynamic Resource ◽  
Negotiation Mechanism ◽  
Distributed Decision

Decentralized multi-project environment is very common in modern times, and the dynamic resource control problem for this project environment has attracted more attention. Traditional optimization method for multi-project based on the centralization in decision making does not suit for solving this problem any more. In this paper, we analyze the distributed decision making process for the dynamic resource control in the decentralized multi-project environment, and present a multi-agent system model for this problem. Using combinatorial exchange based on market, we design a negotiation mechanism to cope with the time disruptions in the stage of project execution. Computational results show that the combinatorial exchange mechanism could solve the problem effectively and has a powerful controllability for the different weights of the multiple projects.

Aircraft Landing Scheduling Based on Semantic Agent Negotiation Mechanism

2012 ◽  
pp. 483-489
Author(s):  
Zhao-Tong Huang ◽  
Xue-Yan Song ◽  
Ji-Zhou Sun ◽  
Zhi-Zeng Li
Keyword(s):  
Agent Negotiation ◽  
Aircraft Landing ◽  
Negotiation Mechanism
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