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Dive into the research topics where Viet Dung Dang is active.

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Featured researches published by Viet Dung Dang.


Knowledge Based Systems | 2004

Agent-based formation of virtual organisations

Timothy J. Norman; Alun David Preece; Stuart Chalmers; Nicholas R. Jennings; Michael Luck; Viet Dung Dang; Thuc Duong Nguyen; Vikas Deora; Jianhua Shao; W. Alex Gray; Nick J. Fiddian

Virtual organisations (VOs) are composed of a number of individuals, departments or organisations each of which has a range of capabilities and resources at their disposal. These VOs are formed so that resources may be pooled and services combined with a view to exploiting a perceived market niche. However, in the modern commercial environment it is essential to respond rapidly to changes in the market to remain competitive. Thus, there is a need for robust, agile, flexible systems to support the process of VO management. Within the CONOISE (www.conoise.org) project, agent-based models and techniques are being developed for the automated formation and maintenance of virtual organisations. In this paper we focus on the former, namely how an effective VO may be formed rapidly for a specified purpose.


adaptive agents and multi-agents systems | 2004

Generating Coalition Structures with Finite Bound from the Optimal Guarantees

Viet Dung Dang; Nicholas R. Jennings

The coalition formation process, in which a number of independent, autonomous agents come together to act as a collective, is an important form of interaction in multiagent systems. When effective, such coalitions can improve the performance of the individual agents and/or of the system as a whole. However, one of the main problems that hinders the wide spread adoption of coalition formation technologies is the computational complexity of coalition structure generation. That is, once a group of agents has been identified, how can it be partitioned in order tomaximise the social payoff? This problem has been shown to be NP-hard and even finding a sub-optimal solution requires searching an exponential number of solutions. Against this background, this paper reports on a novel anytime algorithm for coalition structure generation that produces solutions that are within a finite bound from the optimal. Our algorithm is benchmarked against Sandholm et al.ýs algorithm [8] (the only other known algorithm for this task that can also establish a worst-case bound from the optimal) and is shown to be up to 10^379 times faster (for systems containing 1000 agents) when small bounds from the optimal are desirable.


International Conference on Innovative Techniques and Applications of Artificial Intelligence | 2003

CONOISE: Agent-Based Formation of Virtual Organisations

Timothy J. Norman; Alun David Preece; Stuart Chalmers; Nicholas R. Jennings; Michael Luck; Viet Dung Dang; Thuc Duong Nguyen; Vikas Deora; Jianhua Shao; W. Alex Gray; Nick J. Fiddian

Virtual organisations (VOs) are composed of a number of individuals, departments or organisations each of which has a range of capabilities and resources at their disposal. These VOs are formed so that resources may be pooled and services combined with a view to the exploitation of a perceived market niche. However, in the modern commercial environment it is essential to respond rapidly to changes in the market to remain competitive. Thus, there is a need for robust, flexible systems to support the process of VO management. Within the CONOISE (www.conoise.org) project, agent-based models and techniques are being developed for the automated formation and maintenance of virtual organisations. In this paper we focus on a critical element of VO management: how an effective VO may be formed rapidly for a specified purpose.


national conference on artificial intelligence | 2006

Overlapping coalition formation for efficient data fusion in multi-sensor networks

Viet Dung Dang; Rajdeep K. Dash; Alex Rogers; Nicholas R. Jennings


Archive | 2001

Autonomous Agents for Participating in Mulitple On-line Auctions

Patricia Anthony; Wendy Hall; Viet Dung Dang; Nicholas R. Jennings


national conference on artificial intelligence | 2007

Anytime optimal coalition structure generation

Talal Rahwan; Sarvapali D. Ramchurn; Viet Dung Dang; Andrea Giovannucci; Nicholas R. Jennings


AICPS | 2003

Optimal clearing algorithms for multi-unit single-item and multi-unit combinatorial auctions with demand/supply function bidding

Viet Dung Dang; Nicholas R. Jennings


european conference on artificial intelligence | 2002

Polynomial algorithms for clearing multi-unit single-item and multi-unit combinatorial reverse auctions

Viet Dung Dang; Nicholas R. Jennings


european conference on artificial intelligence | 2006

Coalition Structure Generation in Task-Based Settings

Viet Dung Dang; Nicholas R. Jennings


Bt Technology Journal | 2006

Delivering services by building and running virtual organisations

D Nguyen; Simon Thompson; Jigar Patel; Luke Teacy; Nicholas R. Jennings; Michael Luck; Viet Dung Dang; Stuart Chalmers; Nir Oren; Timothy J. Norman; Alun David Preece; Peter M. D. Gray; Gareth Shercliff; Patrick J. Stockreisser; Jianhua Shao; W. A. Gray; Nick J. Fiddian

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Jigar Patel

University of Southampton

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Nir Oren

University of Aberdeen

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