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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

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Group by: Publication Date | Item type | No Grouping
Jump to: 2022 | 2021 | 2020 | 2013 | 2007 | 2006 | 2004 | 2003 | 1999 | 1998
Number of items: 12.

2022

Vasileiou, Stylianos Loukas and Yeoh, William and Son, Tran Cao and Kumar, Ashwin and Cashmore, Michael and Magazzeni, Dianele (2022) A logic-based explanation generation framework for classical and hybrid planning problems. Journal of Artificial Intelligence Research, 73. pp. 1473-1534. ISSN 1076-9757

2021

Krarup, Benjamin and Krivic, Senka and Magazzeni, Daniele and Long, Derek and Cashmore, Michael and Smith, David E. (2021) Contrastive explanations of plans through model restrictions. Journal of Artificial Intelligence Research, 72. ISSN 1076-9757

2020

Krivic, Senka and Cashmore, Michael and Magazzeni, Daniele and Szedmak, Sandor and Piater, Justus (2020) Using machine learning for decreasing state uncertainty in planning. Journal of Artificial Intelligence Research, 69. pp. 765-806. ISSN 1076-9757

Cashmore, Michael and Magazzeni, Daniele and Zehtabi, Parisa (2020) Planning for hybrid systems via Satisfiability Modulo Theories. Journal of Artificial Intelligence Research, 67. pp. 235-283. ISSN 1076-9757

2013

Cuenca Grau, Bernardo and Horrocks, Ian and Krötzsch, Markus and Kupke, Clemens and Magka, Despoina and Motik, Boris and Wang, Zhe (2013) Acyclicity notions for existential rules and their application to query answering in ontologies. Journal of Artificial Intelligence Research, 47. pp. 741-808. ISSN 1076-9757

2007

Coles, A.I. and Smith, A.J. (2007) Marvin: a heuristic search planner with online macro-action learning. Journal of Artificial Intelligence Research, 28. pp. 119-156.

2006

Fox, M. and Long, D. (2006) Modelling mixed discrete-continuous domains for planning. Journal of Artificial Intelligence Research, 27. pp. 235-297.

2004

Hoffmann, J. and Porteous, J. and Sebastia, L. (2004) Ordered landmarks in planning. Journal of Artificial Intelligence Research, 22. pp. 215-278.

2003

Fox, Maria and Long, Derek (2003) PDDL2.1 : An extension of PDDL for expressing temporal planning domains. Journal of Artificial Intelligence Research, 20. pp. 61-124.

Long, D. and Fox, M. (2003) The 3rd international planning competition : results and analysis. Journal of Artificial Intelligence Research, 20. pp. 1-59.

1999

Long, D. and Fox, M. (1999) Efficient Implementation of the Plan Graph in STAN. Journal of Artificial Intelligence Research, 10 (1999). pp. 87-115.

1998

Fox, M. and Long, D. (1998) The automatic inference of state invariants in TIM. Journal of Artificial Intelligence Research, 9. pp. 367-421.

This list was generated on Wed Dec 4 02:11:18 2024 GMT.