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Parameter Engineering vs. Parameter Tuning: the Case of Biochemical Coordination in MoK

Stefano Mariani
To cope with nowadays MAS complexity, nature-inspired coordination models and languages gained increasing attention: in particular, biochemical coordination models. Being intrinsically stochastic and self-organising, the effectiveness of their outcome likely depends on a correct parameter tuning stage. In this paper, we focus on chemical reactions rates, showing that simply imitating chemistry “as it is” may be not enough for the purpose of effectively engineer complex, self-organising coordinated systems such as MoK.
Keywords: biochemical coordination, biochemical simulation, MoK, kinetic laws, parameter engineering
From Objects to Agents, CEUR Workshop Proceedings 1099, pages 16-23, 2-3 December 2013.
Matteo Baldoni, Cristina Baroglio, Federico Bergenti, Alfredo Garro (eds.), Sun SITE Central Europe, RWTH Aachen University, Turin, Italy
XIV Workshop (WOA 2013). Workshop Notes 
@inproceedings{mokparameng-woa2013,
	Address = {Turin, Italy},
	Author = {Mariani, Stefano},
	Booktitle = {From Objects to Agents},
	Editor = {Baldoni, Matteo and Baroglio, Cristina and Bergenti, Federico and Garro, Alfredo},
	Issn = {1613-0073},
	Keywords = {Spatial coordination; Event-driven programming; Tuple-based coordination},
	Month = {2--3~} # dec,
	Note = {XIV Workshop (WOA 2013). Workshop Notes},
	Pages = {16--23} ,
	Publisher = {Sun SITE Central Europe, RWTH Aachen University},
	ScopusId = {2-s2.0-84892637993},
	Series = {CEUR Workshop Proceedings},
	Title = {Parameter Engineering vs. Parameter Tuning: the Case of Biochemical Coordination in {MoK}},
	Url = {http://ceur-ws.org/Vol-1099/paper5.pdf},
	Volume = 1099, 
	Year = 2013}