1 resultado para Conventional systems
em Department of Computer Science E-Repository - King's College London, Strand, London
Filtro por publicador
- Repository Napier (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (9)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (4)
- Archive of European Integration (1)
- Aston University Research Archive (23)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (11)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (271)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (9)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- CentAUR: Central Archive University of Reading - UK (32)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (19)
- Cochin University of Science & Technology (CUSAT), India (6)
- Coffee Science - Universidade Federal de Lavras (1)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (9)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (2)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- Digital Commons - Michigan Tech (3)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (7)
- Digital Peer Publishing (1)
- Digital Repository at Iowa State University (2)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (6)
- DRUM (Digital Repository at the University of Maryland) (4)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- Galway Mayo Institute of Technology, Ireland (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Instituto Politécnico do Porto, Portugal (26)
- Nottingham eTheses (1)
- Publishing Network for Geoscientific & Environmental Data (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (3)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Aberto da Universidade Aberta de Portugal (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (4)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (21)
- Repositório da Produção Científica e Intelectual da Unicamp (13)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (1)
- Repositorio de la Universidad de Cuenca (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (96)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- Scielo Saúde Pública - SP (77)
- Universidad de Alicante (1)
- Universidad Politécnica de Madrid (26)
- Universidade Complutense de Madrid (1)
- Universidade do Minho (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (1)
- University of Michigan (2)
- University of Queensland eSpace - Australia (233)
- University of Washington (2)
- WestminsterResearch - UK (1)
Resumo:
In the past decade, compositional modelling (CM) has established itself as the predominant knowledge-based approach to construct mathematical (simulation) models automatically. Although it is mainly applied to physical systems, there is a growing interest in applying CM to other domains, such as ecological and socio-economic systems. Inspired by this observation, this paper presents a method for extending the conventional CM techniques to suit systems that are fundamentally presented by interacting populations of individuals instead of physical components or processes. The work supports building model repositories for such systems, especially in addressing the most critical outstanding issues of granularity and disaggregation in ecological systems modelling.