FCVW agent framework

Shakshuki, Elhadi M.; Prabhu, O.; Tomek, Ivan

doi:10.1016/j.infsof.2005.12.013

Cited by 8 publications

(5 citation statements)

References 10 publications

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“…The learning agent is implemented using Java. In our implementation, we utilized the agent framework proposed in Shakshuki et al (2006). The agent can be activated or inactivated, using the client user interface shown in Figure 3.…”

Section: Methodsmentioning

confidence: 99%

Intelligent learning agent for collaborative virtual workspace

Shakshuki

Matin

2010

International Journal of Pervasive Computing and Communications

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PurposeIntelligent agents are becoming an essential part of collaborative virtual environments. The purpose of this paper is to present an architecture of a learning agent that is able to utilize machine learning techniques to monitor the user's actions.Design/methodology/approachA learning agent is developed and integrated into federated collaborative virtual workspace.FindingsThe experimental results showed that the combination of genetic algorithms and reinforcement learning algorithms provides the agent with better learning capability resulting in better predictions for the user.Originality/valueThis paper provides experimental results and a performance analysis in terms of accuracy of predictions, processing time, and memory utilization of the agent.

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Section: Methodsmentioning

confidence: 99%

Intelligent learning agent for collaborative virtual workspace

Shakshuki

Matin

2010

International Journal of Pervasive Computing and Communications

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“…Eclipse platform [5] is used to implement the meeting scheduler agent in FCVW [9] as plug-in. FCVW is our extension of Collaborative Virtual Workspace [4].…”

Section: Methodsmentioning

confidence: 99%

“…If the negotiation can not be resolved in the particular time period, then the server will assist the agents to make the final decision using the voting system. The objective of this work is to develop a multi-agent meeting scheduler system and integrate it as part of FCVW [9].…”

Section: Introductionmentioning

confidence: 99%

Software Agents for Meeting Scheduler

Shakshuki

Koo

2006

20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06)

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Scheduling a meeting that involves persons with different commitments and preferences is a difficult task. This paper presents a multi-agent system in which each person is represented by an agent. Each agent has its own capabilities to manage, negotiate and schedule tasks, meetings, events, appointments for its assigned user. In this multi-agent system, the agents coordinate their activities and negotiate on behalf of their associated users to find a solution that satisfies the users' desires. A prototype is implemented and evaluation of preliminarily results is demonstrated.

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“…Frameworks are beneficial when several applications share a number of common features and components that can be plugged into existing code to develop specific instantiation of that application. A framework is defined as 'a reusable design of all or parts of a system that is represented by a set of abstract classes and the way in which their instances interact [5].…”

Section: Introductionmentioning

confidence: 99%

A Reusable Agent-Based Framework for Smart Embedded Systems

Kazanavičius¹,

Kazanavicius²,

Ostaseviciute³

2010

SSP

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Embedded computing systems still remain one of the underlying priorities in worldwide research communities. This paper presents an agent-based approach for embedded real-time systems design based on a reusable framework. The essence of our work lies on smart environment domain. Jade - a Java-based middleware is selected as a platform, facilitating the development of multi-agent embedded systems framework. Generic system architecture, framework prototype implementation and, subsequently, smart refrigerator control application are demonstrated, reasoning that the proposed method is effective in dealing with challenges raised by issues in contemporary embedded system development.

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FCVW agent framework

Cited by 8 publications

References 10 publications

Intelligent learning agent for collaborative virtual workspace

Intelligent learning agent for collaborative virtual workspace

Software Agents for Meeting Scheduler

A Reusable Agent-Based Framework for Smart Embedded Systems

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