CSALT,
Dept of Educational Research,
County College South
Lancaster University
LA1 4YD,
UK.
Tel: +44 (0) 1524 592685
E-mail: Alice Jesmont
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Summary: MONET 2 is a European Network of Excellence connecting academics and industrialists interested in qualitative reasoning and model based systems and in transferring emergent artificial intelligence technologies into the commercial world. Education, within science and engineering, is one of the special interest groups within the network. The MONET network organised a series of workshops, summer schools and conferences as well as a central repository for resources through the MONET web site.
Website: http://monet.aber.ac.uk/
Funder: European Commission
Type of Activity: Collaborative Research
Grant holder: Julie-Ann Sime (Educational Research)
Dept/Research Groups: Centre for Studies in Advanced Learning Technology, Educational Research
Keywords: Learning technologies, Adult learning, Education technology, E-learning, ICT, Professional learning, Teaching and learning, Technology enhanced learning, Workplace learning
MONET 2 is a Network of Excellence, connecting European academics and industrialists interested in qualitative reasoning and model based systems and in transferring emergent artificial intelligence technologies into industry/commerce. Education, within science and engineering, is one of the special interest groups within the network.
MONET 2 (like MONET) is funded by the European Community under the IST Programme, Networks of Excellence. The MONET network has organised a series of workshops, summer schools and conferences as well as a central repository for resources through the MONET web site.
Model based reasoning can be defined as the representation of the internal workings of a system in order to predict, simulate and explain the behaviour of the system from its structure, function, causality and behaviour of its components. Qualitative reasoning is the non-numerical description of a system, preserving its behavioural properties and distinctions. Qualitative models aim to capture the important aspects of a system while suppressing much of the detail, e.g. by abstraction or approximation.
Keywords: qualitative reasoning, model based systems.
Project funded by European Community under the IST Programme, Networks of Excellence.
Business/Industry - Network of academic and business organisations
Collaborative Research
European Commission
IST Programme, Network of Excellence