I construct a multi-agent state space model with unawareness following Aumann (1976). Dekel, Lipman and Rustichini (1998) show that standard state space models are incapable of representing unawareness. The model circumvents the impossibility result by endowing the agent a subjective state space that differs from the full state space when he has the unawareness problem. Information is modeled a...

This paper considers a problem of multi-state system reliability modelling and assessment. By using the advantages of uncertainty reasoning and figurative expression of Bayesian network, a new method of modelling and assessment of multi-state system reliability based on BN is proposed to determine the nodes of BN and the multiple states of components of system, and to give the probability of ea...

this paper presents a new strategy based on multi-stage fuzzy (msf) pid controller based on artificial bee colony (abc) for damping power system stabilizer (pss) in multi-machine environment. the recent studies in artificial intelligence demonstrated that the abc optimization is strong intelligent method in complicated stability problems. also, finding the parameters of pid controller in power ...

Passive radiative cooling has been spotlighted as a promising energy-saving technology owing to its energy-free and zero-carbon emission for addressing global energy climate crises. Although can significantly save in hot weather, it inevitably accompanies undesirable cold weather resulting from single-state of strong thermal emission. Dual-state emitters have recently developed self-adaptive th...

In this paper, we study different methods of solving joint redundancy-availability optimization for series-parallel systems with multi-state components. We analyzed various effective factors on system availability in order to determine the optimum number and version of components in each sub-system and consider the effects of improving failure rates of each component in each sub-system and impr...