Now showing 1 - 3 of 3
  • Publication
    Fuzzy decision making through energy-aware and utility agents within wireless sensor networks
    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.
    Scopus© Citations 11  2001
  • Publication
    Embedding intelligent decision making within complex dynamic environments
    Decision-making is a complex and demanding process often constrained in a number of possibly conflicting dimensions including quality, responsiveness and cost. This paper considers in situ decision making whereby decisions are effected based upon inferences made from both locally sensed data and data aggregated from a sensor network. Such sensing devices that comprise a sensor network are often computationally challenged and present an additional constraint upon the reasoning process. This paper describes a hybrid reasoning approach to deliver in situ decision making which combines stream based computing with multi-agent system techniques. This approach is illustrated and exercised through an environmental demonstrator project entitled SmartBay which seeks to deliver in situ real time environmental monitoring.
      1372Scopus© Citations 12
  • Publication
    Gulliver's Genie : agency, mobility, adaptivity
    The challenge presented by ambient intelligence and pervasive computing is an environment within which computing artifacts become seamlessly merged into our surroundings, whereby interaction with such artifacts becomes intuitive and unobtrusive, where the devices become sensitive to the presence of people and are imbued with the ability to anticipate and service the individual needs of each and every user. In this paper, we present Gulliver's Genie, an archetypical ubiquitous computing application. Gulliver's Genie embraces three central constructs; those of agency, mobility and adaptivity. The architecture adopts a Multi-Agent Systems metaphor whereby agents manage and maintain a context within which mobile users exist and, based upon this context, seeks to adapt and personalize content based upon perceived individual user needs. Agents are mobile and may migrate to or from environmental artifacts reflecting their computational constraints.
      660Scopus© Citations 26