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, Stefano. - 1099:(2013), pp. 16-23. (Intervento presentato al convegno 14th Workshop "From Objects to Agents", WOA 2013 - Co-located with the 13th Conference of the Italian Association for Artificial Intelligence, AI*IA 2013 tenutosi a Turin, ita nel 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.Pubblicazioni consigliate
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