An adaptive approach for decision making tactics in automated negotiation

Bahrammirzaee, Arash; Chohra, Amine; Madani, Kurosh

doi:10.1007/s10489-013-0434-8

Cited by 11 publications

(5 citation statements)

References 18 publications

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“…Moreover, while multiple works propose BBC strategies to model opponent imitation behavior [17], [39], [40], most of the works dealing with opponent modeling assume that the opponent follows TBC strategies [18]. Some recent works such as [34] and [41] propose a generic model enabling to predict the next offer of the opponent even when the latter adopts a BBC strategy.…”

Section: B Opponent Modelingmentioning

confidence: 99%

One-to-Many Negotiation QoE Management Mechanism for End-User Satisfaction

et al. 2021

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Quality of Experience (QoE) is defined as the measure of end-user satisfaction with the service. Existing works addressing QoE-management rely on a binary vision of end-user satisfaction. This vision has been criticized by the growing empirical evidence showing that QoE is rather a degree. This article aims to go beyond the binary vision and propose a QoE management mechanism. We propose a one-to-many negotiation mechanism allowing the provider to undertake satisfaction management: to meet fine-grained user QoE goals, while still minimizing the costs. This problem is formulated as an optimization problem, for which a linear model is proposed. For reference, a generic linear program solver is used to find the optimal solution, and an alternative heuristic algorithm is devised to improve the responsiveness when the system has to scale up with a fast growing number of users. Both are implemented and experimentally evaluated against state-of-the-art one-to-many negotiation frameworks.

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Section: B Opponent Modelingmentioning

confidence: 99%

One-to-Many Negotiation QoE Management Mechanism for End-User Satisfaction

et al. 2021

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“…According to Bahrammirzaee, et al, (2013), this is due to the fact that agent based e-commerce offers many advantages with respect to traditional ecommerce, such as (semi-) autonomous behavior so that agents perform transactions on behalf of their users.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a secured Mobile-Agent-Based Electronic Commerce Using Crypto-Steganography

Araoye¹,

Adewale²,

Alese³

et al. 2018

ijSciences

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Abstract:Mobile agent is gaining attention in the research community because of its potential to replace traditional client-Server application in computer network system. Mobile agent has the ability to migrate autonomously from one server to another server as specified in its itinerary in computer network. Areas where mobile agent profit includes network management, information retrieval and electronic commerce. Mobile agent can be delegated to carry out all stages that are involved in electronic commerce such as Product brokering, Merchant brokering, Negotiation and Purchase. However there are security vulnerability issues with mobile agent system such as the need to ensure confidentiality of information of the agent from malicious parties, integrity of the data of the agent and non-repudiation from parties involves in the transactions. Security measure by agent developers has been mobile cryptography. This research combines Elliptic curve cryptography (ECC) and Steganography known as cryptosteganography to secure its agent. The agent was developed using PHP 5.0, Javascript, HTML, Wampserver and MySQL. The system was tested on a local area network with six computer systems, one of the computers represent client and the other five as servers. Performance evaluation was carried out to test for execution time and workload effect on the system. The result was compared with the existing secured agent-based electronic commerce systems in term of response time. The result shows that the proposed security is faster than RSA but a little slower than ECC only. A trade off was observed between a more secured system and response time of the system.

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“…This is due to the fact that agent-based e-commerce offers many advantages with respect to traditional e-commerce, such as (semi-) autonomous behaviour so that agents perform transactions on behalf of their users [5]. There have been many studies in the agent-based e-commerce research field that deal with the problem of obtaining accurate models (or profiles) of customers' preferences.…”

Section: Related Workmentioning

confidence: 99%

Strategies for avoiding preference profiling in agent-based e-commerce environments

et al. 2013

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Agent-based electronic commerce is known to offer many advantages to users. However, very few studies have been devoted to deal with privacy issues in this domain. Nowadays, privacy is of great concern and preserving users' privacy plays a crucial role to promote their trust in agent-based technologies. In this paper, we focus on preference profiling, which is a wellknown threat to users' privacy. Specifically, we review strategies for customers' agents to prevent seller agents from obtaining accurate preference profiles of the former group by using data mining techniques. We experimentally show the efficacy of each of these strategies and discuss their suitability in different situations. Our experimental results show that customers can improve their privacy notably with these strategies.

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An adaptive approach for decision making tactics in automated negotiation

Cited by 11 publications

References 18 publications

One-to-Many Negotiation QoE Management Mechanism for End-User Satisfaction

One-to-Many Negotiation QoE Management Mechanism for End-User Satisfaction

Developing a secured Mobile-Agent-Based Electronic Commerce Using Crypto-Steganography

Strategies for avoiding preference profiling in agent-based e-commerce environments

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