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Group Leader: Professor Gerry Kelleher

Overview

At Liverpool John Moores University, the AAI Group applies new technologies to a range of problems. The group has internationally recognised expertise in the development of advance computer-based systems for scheduling, planning, training, Petri net modelling, intelligent robot control with application to job shop, flow shop systems and flexible manufacturing systems. A central theme of the groups work is knowledge leverage - the provision of tools and technologies which allow information to be manipulated, integrated and used effectively.

The group combines expertise in techniques of Scheduling, Planning, Constraint Satisfaction, Assumption Based Truth Maintenance Systems (ATMS), Petri Nets, Intelligent Robot Control, Intelligent Automated Advisory Systems and Interface Technology.

The general aim of the group is to build computing tools that provide a supportive function within an organisation, offering efficiency, economy, effectiveness and productivity gains. Capitalising on advanced artificial intelligence techniques, the work integrates new emerging technologies by drawing on work from several disciplines, such as engineering, computer science and psychology.

In its basic and applied work, AAI Group has developed systems ranging from 'bespoke' applications to general information systems and modelling tools for a range of clients. The approach adopted is interactive, employing user-centred, participative, iterative design concepts. An important aspect of the work is concerned with developing optimal schedules and plans. The provision of navigational support for the client in using largescale multidimensional information structures is central to the concerns of AAI Group.

The methodologies and algorithms developed by the group have seen use within the aircraft industry, marine technology, flexible manufacturing systems and more recently, within the education and training sectors - resulting in automatic educational advising systems and adaptive computer-based training.

 

 

Copyright 2004. School of Computing and Mathematical  Sciences, Liverpool John Moores University, United Kingdom.