The proliferation of ubiquitous computing with smartphones makes context models and information extremely rich dynamic on account highly environments. However, defining rules at design time may impair their efficiency the decision-making process runtime. Therefore, it is important to address problems leveraged by environments context-model evolution. In this sense, a solution that could emerge ...

IntroductIon The subject of our research aims to support in the most suitable way the collaborative decision-making process. Several scientific approaches deal with collaborative decision-making: deci-developing different analytical tools for optimal decision-making; in management sciences the observation of decision-making styles activ-For BLOCKINthe BLOCKINcollaborative BLOCKINdecision-making...

We study a distributed decision-making problem in which multiple agents face the same multi-armed bandit (MAB), and each agent makes sequential choices among arms to maximize its own individual reward. The cooperate by sharing their estimates over fixed communication graph. consider an unconstrained reward model two or more can choose arm collect independent rewards. And we constrained that at ...

Centralized decision-making for a Networked Control System (NCS) suffers from high computational burden on the planning agent. Distributed agents, which compute cooperative decision-making, increase performance. In agents locally plan subset of all agents. Due to only local system knowledge these plans are inconsistent with other This inconsistency leads infeasibility plans. article introduces ...