Lineage Commitment of Hematopoietic Stem Cells: An Agent-based Model

Sara Montagna, Andrea Omicini, Marco Alberti

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.

Intelligenza Artificiale e Scienze della Vita, pages 201-214, September 2008.
Giuliano Armano, Marco Schaerf, Giovanni Semeraro (eds.), Cittadella dei Musei, Cagliari, Italy
10° Convegno Associazione Italiana per l'Intelligenza Artificiale (AI*IA 2008), Workshop "Multi-agent Systems & Bioinformatics" (MAS&BIO 2008). Proceedings

@inproceedings{abmhsc-masbio08,
	Address = {Cittadella dei Musei, Cagliari, Italy},
	Author = {Montagna, Sara and Omicini, Andrea and Alberti, Marco},
	Booktitle = {Intelligenza Artificiale e Scienze della Vita},
	Editor = {Armano, Giuliano and Schaerf, Marco and Semeraro, Giovanni},
	Month = sep,
	Note = {10º Convegno Associazione Italiana per l'Intelligenza Artificiale (AI*IA 2008), Workshop "Multi-agent Systems \& Bioinformatics" (MAS\&BIO 2008). Proceedings},
	Pages = {201--214},
	Title = {Lineage Commitment of Hematopoietic Stem Cells: An Agent-based Model},
	Year = 2008}