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Data Fusion is the combination of a number of independent search results, relating to the same document collection, into a single result to be presented to the user. A number of probabilistic data fusion models have been shown to be effective in empirical studies. These typically attempt to estimate the probability that particular documents will be(More)
Ambient Intelligence represents a vision of the future whereby the world will be saturated with embedded electronic devices that are sensitive and responsive to people. This technology will combine the concepts of intelligent systems with that of pervasive computing. Intelligent agents of varying capabilities will provide the foundations for many(More)
Data fusion is the combination of the results of independent searches on a document collection into one single output result set. It has been shown in the past that this can greatly improve retrieval effectiveness over that of the individual results.This paper presents <i>probFuse</i>, a probabilistic approach to data fusion. <i>ProbFuse</i> assumes that(More)
For AOP (Agent Oriented Programming) to become a mature discipline, lessons must be learned from practical language implementations. We present AF-APL (AgentFac-tory-Agent Programming Language) as an Agent Oriented Programming Language that has matured with continued revisions and implementations, resulting in a language-which, although based on the more(More)
This paper introduces Agent Factory, a cohesive framework supporting a structured approach to the development and deployment of agent-oriented applications. We describe Agent Factory together with an accompanying agent development methodology. We detail the key attributes of Agent Factory, namely: visual design, design reuse, behaviour enactment, migration,(More)
This paper introduces the Agents Channeling ContExt Sensitive Services (ACCESS) architecture, an agent-based architecture that supports the development and deployment of context sensitive services. Specifically, ACCESS is comprised of two subsystems: a run-time system that delivers the minimum functionality necessary to execute ACCESS Agents, and a(More)
Information Retrieval (IR) forms the basis of many information management tasks. Information management itself has become an extremely important area as the amount of electronically available information increases dramatically. There are numerous methods of performing the IR task both by utilising different techniques and through using different(More)
This paper advocates the application of multi-agent techniques in the realisation of social robotic behaviour. We present the Social Robot Architecture, which integrates the key elements of agent-hood and robotics in a coherent and systematic manner. This architecture seamlessly integrates, real world robots, multi-agent development tools, and VRML(More)