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Ontologies and Electronic Commerce
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A Multi-Agent System Architecture for Information Gathering
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Modeling Supply-Chain Networks by a Multi-Agent System
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
Supporting Trust in Virtual Communities
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On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Constraint-Based Negotiation in a Multi-Agent Information System with Multiple Platform Support
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 1 - Volume 1
A Multi-Agent Infrastructure for Mobile Workforce Management in a Service Oriented Enterprise
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 3 - Volume 03
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Expert Systems with Applications: An International Journal
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A time-frame based trust model for grids
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
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Using multi-agent simulation and learning to design new businessprocesses
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A three-tier view-based methodology for M-services adaptation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A multi-agent decision support system for stock trading
IEEE Network: The Magazine of Global Internetworking
Information and knowledge management in online rich presence services
Information Systems Frontiers
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With the recent advances in Internet and mobile technologies, there are increasing demands for ubiquitous access to food safety information for service integration and gathering first hand information. However, due to disparate food trading information among different food suppliers throughout the food supply chain such as food importers, food wholesalers, food retailers, it is still difficult for citizens to use them effectively during their marketplace shopping. To overcome this problem, we propose a Collaborative Food Safety Agent System (CFSAS) based on a scalable, flexible, and intelligent Multi-Agent Information System (MAIS) architecture for proactive aids and trust-based decision support on food purchasing to citizens. We formulate our MAIS architecture for CFSAS further with agent clusters based on a case study of the Center for Food Safety (CFS) in Hong Kong. Agent clusters may comprise several types of agents to achieve the goals involved in the major processes of a food safety mechanism. We show how agents help citizens better plan, understand, and specify their preferences collaboratively with the CFSAS. We further illustrate how this can be implemented with Web service technologies to integrate disparate food information resources along the food supply chain.