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.

Sara Montagna, Andrea Omicini, Marco Alberti (2008). Lineage commitment of hematopoietic stem cells: An agent-based model. CESENA : AI*IA.

Lineage commitment of hematopoietic stem cells: An agent-based model

MONTAGNA, SARA;OMICINI, ANDREA;
2008

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.
2008
Intelligenza Artificiale e Scienze della Vita
201
214
Sara Montagna, Andrea Omicini, Marco Alberti (2008). Lineage commitment of hematopoietic stem cells: An agent-based model. CESENA : AI*IA.
Sara Montagna; Andrea Omicini; Marco Alberti
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/62600
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