Shen, Song

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Shen, Song
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Shen, Song

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  • Publication
    Agents go Travelling
    (AAAI, 2005-05-15)
    O'Kane, Donal 
    ;
    Marsh, David 
    ;
    Shen, Song 
    ;
    Tynan, Richard 
    ;
    O'Hare, G. M. P. (Greg M. P.) 
    This paper is concerned with infrastructural support for nomadic agents. Agent migration offers much potential however issues relating to the security and integrity of their temporary resting nodes has mitigated against the harvesting of their true potential. Within this paper we introduce the Agent Travel Metaphor (ATM) which offers a comprehensive metaphor fostering integrating of control and security. We describe the metaphor together with its incorporation within the Agent Factory multi-agent system.
      88
  • Publication
    Decision-making of BDI agents, a fuzzy approach
    (IEEE, 2004-09-14)
    Shen, Song 
    ;
    O'Hare, G. M. P. (Greg M. P.) 
    ;
    Collier, Rem 
    This paper introduces and proposes agent fuzzy decision-making (AFDM), as an extension to the classical belief-desire-intention (BDI) model. AFDM addresses the limitations of present formalisms within BDI models by making decisions based on quantified fuzzy judgment. The AFDM matrix model enables quantitative calculation and thus, provides a more practical solution to BDI models. In addition, more flexible and controllable solutions to BDI persistence can be expected with the introduction of AFDM.
      371
  • Publication
    Sensorworld – A simulator for resource-bounded intelligence
    (2010-11-15)
    Shen, Song 
    ;
    O'Hare, G. M. P. (Greg M. P.) 
    ;
    O'Grady, Michael J. 
    Within this paper, Sensorworld is proposed as a platform for the evaluation and comparison of resource-bounded intelligence, and its effectiveness is proven through the implementation of a series of simulations on effectiveness, utility and energy consumption on bold, cautious and energy-aware agents.
      443Scopus© Citations 2
  • Publication
    Fuzzy decision making through energy-aware and utility agents within wireless sensor networks
    (Springer, 2007-03)
    Shen, Song 
    ;
    O'Hare, G. M. P. (Greg M. P.) 
    ;
    O'Grady, Michael J. 
    Multi-agent systems (MAS) through their intrinsically distributed nature offer a promising software modelling and implementation framework for wireless sensor network (WSN) applications. WSNs are characterised by limited resources from a computational and energy perspective; in addition, the integrity of the WSN coverage area may be compromised over the duration of the network's operational lifetime, as environmental effects amongst others take their toll. Thus a significant problem arises--how can an agent construct an accurate model of the prevailing situation in order that it can make effective decisions about future courses of action within these constraints? In this paper, one popular agent architecture, the BDI architecture, is examined from this perspective. In particular, the fundamental issue of belief generation within WSN constraints using classical reasoning augmented with a fuzzy component in a hybrid fashion is explored in terms of energy-awareness and utility.
      1885Scopus© Citations 10