Abstract
In recent years, a new versatile analytical technique has emerged whose main
idea is to model a distributed system by means of interacting agents, so that each
agent maintains its local properties but at the same time modies its behaviour
according to the in
uence of the interaction with the other agents. In this way,
the analysis of each agent alone incorporates the eect of the interdependencies.
In the present model each agent selects its actions based on the current state
and is represented by a continuous time Markov chain (CTMC). We refer to
this kind of agents as Markovian Agents (MA) [1{3] for which the innitesimal
generator has a xed local component, that may depend on the geographical
position of the MA, and a component that depends on the interactions with other
MAs.
Lingua originale | Inglese |
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Pagine | 1-2 |
Numero di pagine | 2 |
Stato di pubblicazione | Pubblicato - 2014 |