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KRAFT is an agent architecture for the integration of heterogeneous information systems. The focus in KRAFT is on the integration of knowledge in the form of constraints. In this article we describe the architecture from an ontological perspective. We start by introducing the agent architecture and illustrate its application in the telecommunication-network(More)
Most older, frail or disabled older people prefer to receive care in their own homes, in preference to the care provided within hospitals or residential home environments. Whilst the aims of community care address humanitarian issues, it is a challenging and expensive task to manage the organisation, logistics, quality assurance and efficiency of these(More)
Current standardized neuropsychological tests may fail to accurately capture real-world executive deficits. We developed a computer-based Cooking Task (CT) assessment of executive functions and trialed the measure with a normative group before use with a head-injured population. Forty-six participants completed the computerized CT and subtests from(More)
This paper describes an agent system to demonstrate the practically of the INCA (Intelligent Community Support for the Elderly) architecture. This architecture is intended to integrate a number of autonomous systems; home monitoring, community alarms, care management systems and emergency systems command and control systems using agent technology to build(More)
one copy of any article(s) in SHURA to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain. ABSTRACT As Internet bandwidth improves and connections become more reliable, on-line course designers will be encouraged to make(More)
one copy of any article(s) in SHURA to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain. ABSTRACT Using an online learning environment, students from European countries collaborated and communicated to carry out problem(More)
Whilst tools assist the various tasks required to develop a multi-agent system (MAS), yet there still remains a gap between the generation of MAS models and program code. AUML development has enabled MAS designs to be specified in detail, including the complexities of agent communication protocols, which was a shortcoming of the Unified Modelling Language(More)
To model support for human learning, rules (i.e. triggering event-conditions-actions) can be classified to encompass any state of student learning activity enroute to appropriate learning material prediction. In an agent based system, each component of an adaptive multiagent system can be represented as agents having individual autonomy and responsibility(More)