A Mobile Intelligent Agent-Based Architecture for E-Business

2009 ◽  
pp. 712-728
Author(s):  
Zhiyong Weng ◽  
Thomas Tran

This article proposes a mobile intelligent agentbased e-business architecture that allows buyers and sellers to perform business at remote locations. An e-business participant can generate a mobile, intelligent agent via some mobile devices (such as a personal digital assistant or mobile phone) and dispatch the agent to the Internet to do business on his/her behalf. This proposed architecture promises a number of benefits: First, it provides great convenience for traders as business can be conducted anytime and anywhere. Second, since the task of finding and negotiating with appropriate traders is handled by a mobile, intelligent agent, the user is freed from this time-consuming task. Third, this architecture addresses the problem of limited and expensive connection time for mobile devices: A trader can disconnect a mobile device from its server after generating and launching a mobile intelligent agent. Later on, the trader can reconnect and call back the agent for results, therefore minimizing the connection time. Finally, by complying with the standardization body FIPA, this flexible architecture increases the interoperability between agent systems and provides high scalability design for swiftly moving across the network.

Author(s):  
Zhiyong Weng ◽  
Thomas Tran

This paper proposes a mobile, intelligent agent-based e-business architecture that allows buyers and sellers to perform business at remote locations. An e-business participant can generate a mobile, intelligent agent via some mobile devices (such as a personal digital assistant or mobile phone) and dispatch the agent to the Internet to do business on her behalf. This proposed architecture promises a number of benefits: First, it provides great convenience for traders as business can be conducted anytime and anywhere. Secondly, since the task of finding and negotiating with appropriate traders is handled by a mobile, intelligent agent, the user is freed from this time-consuming task. Thirdly, this architecture addresses the problem of limited and expensive connection time for mobile devices: A trader can disconnect her mobile device from its server after generating and launching a mobile, intelligent agent. Later on, she can reconnect and call back the agent for results, therefore minimizing the connection time. Finally, by complying with the standardization body FIPA, this flexible architecture increases the interoperability between agent systems and provides high scalability design for swiftly moving across the network.


Author(s):  
Zhiyong Weng

This article proposes a mobile intelligent agentbased e-business architecture that allows buyers and sellers to perform business at remote locations. An e-business participant can generate a mobile, intelligent agent via some mobile devices (such as a personal digital assistant or mobile phone) and dispatch the agent to the Internet to do business on his/her behalf. This proposed architecture promises a number of benefits: First, it provides great convenience for traders as business can be conducted anytime and anywhere. Second, since the task of finding and negotiating with appropriate traders is handled by a mobile, intelligent agent, the user is freed from this time-consuming task. Third, this architecture addresses the problem of limited and expensive connection time for mobile devices: A trader can disconnect a mobile device from its server after generating and launching a mobile intelligent agent. Later on, the trader can reconnect and call back the agent for results, therefore minimizing the connection time. Finally, by complying with the standardization body FIPA, this flexible architecture increases the interoperability between agent systems and provides high scalability design for swiftly moving across the network.


2009 ◽  
pp. 533-549
Author(s):  
Zhiyong Weng ◽  
Thomas Tran

This article proposes a mobile intelligent agentbased e-business architecture that allows buyers and sellers to perform business at remote locations. An e-business participant can generate a mobile, intelligent agent via some mobile devices (such as a personal digital assistant or mobile phone) and dispatch the agent to the Internet to do business on his/her behalf. This proposed architecture promises a number of benefits: First, it provides great convenience for traders as business can be conducted anytime and anywhere. Second, since the task of finding and negotiating with appropriate traders is handled by a mobile, intelligent agent, the user is freed from this time-consuming task. Third, this architecture addresses the problem of limited and expensive connection time for mobile devices: A trader can disconnect a mobile device from its server after generating and launching a mobile intelligent agent. Later on, the trader can reconnect and call back the agent for results, therefore minimizing the connection time. Finally, by complying with the standardization body FIPA, this flexible architecture increases the interoperability between agent systems and provides high scalability design for swiftly moving across the network.


2002 ◽  
pp. 98-108
Author(s):  
Rahul Singh ◽  
Mark A. Gill

Intelligent agents and multi-agent technologies are an emerging technology in computing and communications that hold much promise for a wide variety of applications in Information Technology. Agent-based systems range from the simple, single agent system performing tasks such as email filtering, to a very complex, distributed system of multiple agents each involved in individual and system wide goal-oriented activity. With the tremendous growth in the Internet and Internet-based computing and the explosion of commercial activity on the Internet in recent years, intelligent agent-based systems are being applied in a wide variety of electronic commerce applications. In order to be able to act autonomously in a market environment, agents must be able to establish and maintain trust relationships. Without trust, commerce will not take place. This research extends previous work in intelligent agents to include a mechanism for handling the trust relationship and shows how agents can be fully used as intermediaries in commerce.


Author(s):  
Sheng-Uei Guan ◽  
Fangming Zhu

Agent-based e-commerce has been booming with the development of the Internet and agent technologies. However, little effort has been devoted to exploring the learning and evolving capabilities of software agents. This chapter addresses the issues of evolving software agents in e-commerce applications. An agent structure with evolutionary features is proposed with a focus on internal hierarchical knowledge. We argue that the knowledge base of an intelligent agent should be the cornerstone for its evolution capabilities, and the agent can enhance its knowledge base by exchanging knowledge with other agents. In this chapter, product ontology is chosen as an instance of knowledge base. We propose a new approach to facilitate ontology exchange among e-commerce agents. The ontology exchange model and its formalities are elaborated. Product-brokering agents have been designed and implemented, which accomplish the ontology exchange process from request to integration.


Author(s):  
Sheng-Uei Guan

Agent-based e-commerce is a promising novelty that performs tasks such as payment, mediation, interaction, and sales promotion in simple and intelligent manners. The agents can be endowed with attributes such as mobility, intelligence, and autonomy. Constructing appropriate architecture for agent systems in e-commerce is a fundamental consideration in facilitating agent-based transactions (Lee, Kang, & Lee, 1997). A practical way is to provide sites with methods to fabricate various agents according to the requirements of the clients. Due to the nature of e-commerce and the Internet, agents should be able to adapt to a changing environment automatically. Agents should therefore be able to evolve in terms of intelligence and also be able to roam so as to utilize the power of network computing (Guan & Yang, 1999; Yang & Guan, 2000). In order to meet the requirements discussed and to provide an environment for an in-depth research in e-commerce, this chapter proposes secure agent fabrication, evolution and roaming (SAFER) for e-commerce. DESCRIPTION OF SAFER Secure Agent Fabrication Evolution and Roaming (SAFER) is an infrastructure to serve agents in e-commerce and establish the necessary mechanisms to manipulate them. The goal of SAFER is to construct open and evolutionary agent systems for e-commerce. The SAFER architecture comprises different communities, as are described in Figure 1. Each community consists of the following components: Owner, Butler, Agent, Agent Factory, Community Administration Center, Agent Charger, Agent Immigration, Clearing House and Bank, which are illustrated in Figure 2. Each component will be elaborated in the following subsections.


Author(s):  
Mihhail Matskin ◽  
Amund Tveit

This chapter considers an application of software agents to mobile commerce services provision. With the increasing number of e-commerce services for mobile devices, there are challenges in making these services more personalized and in taking into account the severely constrained bandwidth and restricted user interface these devices currently provide. In this chapter we present an agent-based platform for support of mobile commerce using wireless devices. Agents represent mobile device customers in the network by implementing highly personalized customer profiles. The platform allows customization and adaptation of mobile commerce services as well as pro-active processing and notification of important events. Information to the customers is delivered via both an access to the Internet and SMS messages. Usage of the platform is illustrated by examples of valued customer membership services and subscription services support. We hope that the presented work demonstrates benefits of software agents as assistants in mobile commerce services.


Author(s):  
John Debenham

Emergent processes are business processes whose execution is determined by the prior knowledge of the agents involved and by the knowledge that emerges during a process instance. The amount of process knowledge that is relevant to a knowledge-driven process can be enormous and may include common sense knowledge. If a process’ knowledge can not be represented feasibly then that process can not be managed; although its execution may be partially supported. In an e-market domain, the majority of transactions, including trading orders, requests for advice and information, are knowledge-driven processes for which the knowledge base is the Internet, and so representing the knowledge is not at issue. Multiagent systems are an established platform for managing complex business processes. What is needed for emergent process management is an intelligent agent that is driven not by a process goal, but by an in-flow of knowledge, where each chunk of knowledge may be uncertain. These agents should assess the extent to which it chooses to believe that the information is correct, and so they require an inference mechanism that can cope with information of differing integrity.


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