Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Group by: Publication Date | Item type | No Grouping
Jump to: 2005 | 2004 | 2003
Number of items: 8.

2005

Fox, M. and Howey, R. and Long, D. (2005) Exploration of the robustness of plans. In: Proceedings International Conference on Automated Planning & Scheduling (ICAPS) 2005 Workshop on Verification and Validation of, 2005-06-05 - 2005-06-10.

Fox, M. and Howey, R. and Long, D.; (2005) Validating plans in the context of processes and exogenous events. In: Proceedings of the Twentieth National Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence (AAAI). ISBN 978-1-57735-236-5

Howey, Richard and Long, Derek and Fox, Maria; Castillo, L. and Borrajo, D. and Salido, M.A. and Oddi, A., eds. (2005) Plan validation and mixed-initiative planning in space operations. In: Planning, Scheduling and Constraint Satisfaction: From Theory to Practice. Frontiers in Artificial Intelligence and Applications, 117 (117). IOS Press, Amsterdam, pp. 89-98. ISBN 1-58603-484-7

2004

Howey, R. and Long, D. and Fox, M. (2004) VAL : automatic plan validation, continuous effects and mixed initiative planning using PDDL. In: 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004-11-15 - 2004-11-17.

Howey, R. and Long, D. and Fox, M.; (2004) Validating plans with exogenous events. In: Proceedings of the 23rd Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG 2004). UNSPECIFIED, pp. 78-87.

2003

Howey, Richard and Long, Derek (2003) Validating plans with continuous effects. In: 22nd Workshop of the UK Planning and Scheduling Special Interest Group, 2003-12-09 - 2003-12-10.

Howey, R. and Long, D. (2003) VAL's progress: the automatic validation tool for PDDL2.1 used in the International planning competition. In: Proceedings of the ICAPS 2003 workshop on "The Competition: Impact, Organization, Evaluation, Benchmarks", 2003-01-01.

Howey, R. and Long, D. (2003) The automatic validation tool for PDDL2.1. In: 10th Workshop on Automated Reasoning, 2003-04-15 - 2003-04-16.

This list was generated on Wed Jul 8 09:52:46 2020 BST.