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.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2009 | 2006 | 1997
Number of items: 5.

2009

Gerevini, A.E. and Haslum, P. and Long, D. and Saetti, A. and Dimopoulos, Y. (2009) Deterministic planning in the fifth international planning competition: pddl3 and experimental evaluation of the planners. Artificial Intelligence, 173 (5-6). pp. 619-668. ISSN 0004-3702

Fox, M. and Thiebaux, S. (2009) Advances in automated plan generation. Artificial Intelligence, 173 (5-6). pp. 501-502. ISSN 0004-3702

Coles, A.I. and Fox, M. and Halsey, K. and Long, D. and Smith, A. (2009) Managing concurrency in temporal planning using planner-scheduler interaction. Artificial Intelligence, 173 (1). pp. 1-44.

2006

Fox, M. and Ghallab, M. and Infantes, G. and Long, D. (2006) Robot introspection through learned hidden Markov models. Artificial Intelligence, 170 (2). pp. 59-113. ISSN 0004-3702

1997

McCluskey, L. and Porteous, J. (1997) Engineering and Compiling Planning Domain models to promote. Artificial Intelligence, 95 (1). pp. 1-65. ISSN 0004-3702

This list was generated on Sat Jul 11 14:53:05 2020 BST.