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.

Parameter Engineering vs. Parameter tuning: The case of biochemical coordination in MoK / Mariani, S.. - 1099:(2013), pp. 16-23. (14th Workshop "From Objects to Agents", WOA 2013 - Co-located with the 13th Conference of the Italian Association for Artificial Intelligence, AI*IA 2013 Turin, ita 2013).

Parameter Engineering vs. Parameter tuning: The case of biochemical coordination in MoK

MARIANI, Stefano
2013

Abstract

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.
2013
no
Inglese
14th Workshop "From Objects to Agents", WOA 2013 - Co-located with the 13th Conference of the Italian Association for Artificial Intelligence, AI*IA 2013
Turin, ita
2013
CEUR Workshop Proceedings
1099
16
23
Computer Science (all)
Mariani, Stefano
Atti di CONVEGNO::Relazione in Atti di Convegno
273
1
Parameter Engineering vs. Parameter tuning: The case of biochemical coordination in MoK / Mariani, S.. - 1099:(2013), pp. 16-23. (14th Workshop "From Objects to Agents", WOA 2013 - Co-located with the 13th Conference of the Italian Association for Artificial Intelligence, AI*IA 2013 Turin, ita 2013).
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info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1128238
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