Multi-Agent Automated Intelligent Shopping System (MAISS)

Lu, Y.; Masabo, E.; Tan, Lian; He, Ming

doi:10.1109/icycs.2008.35

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…In this communication mode, senders can temporarily disconnect to network after sending requests. Considering the bandwidth limitation of mobile network, we make each agent divided into tiny packets to minimize the bad impact of message loss which is quite common in mobile network [16].…”

Section: Operating System Layermentioning

confidence: 99%

Multi-agent Middleware for the Integration of Mobile Supply Chain

Zhao¹,

Wu²,

Dai³

et al. 2011

JCP

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With the development of mobile network and communication technology, traditional supply chain management is gradually updating to mobile supply chain management, and multi-agent technology has been considered as a very efficient method for supply chain management in mobile environment. After considering the characteristics and limitations of mobile supply chain, and according to the requirements in the manufacturing domain, this paper designs a multi-agent middleware for mobile supply chain management, aiming to solve integration problems and shield off network and terminal heterogeneity in mobile environment, which can achieve mobile supply chain dynamic integration and then improve the efficiency of supply chain management. Its feasibility and efficiency was demonstrated by experiments

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Section: Operating System Layermentioning

confidence: 99%

Multi-agent Middleware for the Integration of Mobile Supply Chain

Zhao¹,

Wu²,

Dai³

et al. 2011

JCP

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show abstract

“…What's more, we utilize JADE-S to support the message integrity and confidentiality, which guarantee that information is not tampered by others during transmission. It is achieved by supporting data signature and encryption on the ACL messages [17]. In the memory module, we set up a user profile to store personalized information and service accessing records of users as shown in Figure 3, in order to provide usercentric services for mobile terminal users, and then improve user satisfaction.…”

Section: B Agent-based Middlewarementioning

confidence: 99%

A Framework of Transferring Mobile Services with Agent Based Middleware

Zhao¹,

Wu²,

Dai³

et al. 2011

JSW

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With the development of mobile terminal devices and network communication technology, service applications in mobile environments with large potential users become more and more popular. After analyzing the particularities and obstacles of the service transferring in mobile networks, this paper introduces a mobile service transferring framework based on the agent middleware, aiming to improve the efficiency and performance of service delivery in mobile environments. As the communication bridge between mobile application service servers and mobile terminal applications, it not only can achieve efficient and timely interaction between them and reduce the service transferring workload of mobile terminal devices, but shield off heterogeneities of terminal platforms and network communication protocols. The service transferring framework offers some advantages, such as platform-independent, favorable extensibility, strong flexibility and well-behaved security. Mobile terminal users can utilize it to transfer services and resources in mobile environments efficiently, without worrying about the mobile network discontinuity and limited computing ability of mobile terminal devices. Moreover, it can provide user-centric services through building user profiles in order to improve user satisfaction and attract more users

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Nash Equilibrium: Better Strategy for Agents Coordination

Masabo

Mutimukwe

2008

2008 IEEE Asia-Pacific Services Computing Conference

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Multi-Agent Automated Intelligent Shopping System (MAISS)

Cited by 6 publications

References 3 publications

Multi-agent Middleware for the Integration of Mobile Supply Chain

Multi-agent Middleware for the Integration of Mobile Supply Chain

A Framework of Transferring Mobile Services with Agent Based Middleware

Nash Equilibrium: Better Strategy for Agents Coordination

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