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EnglishIt is time for agent-based modelling (ABM) to trespass the "me too" stage, so as to deliver up to its promises. To this end, agent-based techniques should be tested against scenarios that have proven to be too complex for traditional approaches. In this paper, we take a complex problem in the biological domain — lineage commitment of Hematopoietic Stem Cells (HSC) —, and introduce an articulated agent-based model accounting for both intra- and inter-cellular aspects. An implementation of the model in MASON is presented, and the first simulation results are discussed.
| Titolo: | Lineage commitment of hematopoietic stem cells: An agent-based model |
| Autore/i: | MONTAGNA, SARA; OMICINI, ANDREA; Marco Alberti |
| Autore/i Unibo: | |
| Anno: | 2008 |
| Titolo del libro: | Intelligenza Artificiale e Scienze della Vita |
| Pagina iniziale: | 201 |
| Pagina finale: | 214 |
| Abstract: | It is time for agent-based modelling (ABM) to trespass the "me too" stage, so as to deliver up to its promises. To this end, agent-based techniques should be tested against scenarios that have proven to be too complex for traditional approaches. In this paper, we take a complex problem in the biological domain — lineage commitment of Hematopoietic Stem Cells (HSC) —, and introduce an articulated agent-based model accounting for both intra- and inter-cellular aspects. An implementation of the model in MASON is presented, and the first simulation results are discussed. |
| Data prodotto definitivo in UGOV: | 14-ott-2008 |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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