Aphasia diagnosis is a challenging medical diagnostic task due to the linguistic uncertainty and vagueness, large number of measurements with imprecision, inconsistencies in the definition of Aphasic syndromes, natural ...

In this research, a aovei self-organizing map (SOM)-based multi-agent architecture is

proposed for task assignment coordination and cooperation of a multi-robot system. A set of static or

moving targets are ...

One of the common ways for showing the trade_off

between exploration_exploitation in reinforcement learning

problems is the multi_armed bandit problem. In this paper

we consider the MABP in a nonstationary ...

In this paper, an online optimal distributed learning algorithm is proposed to solve leader-synchronization problem of nonlinear multi-agent differential graphical games. Each player approximates its optimal control policy ...

در این مقاله یک الگوریتم یادگیری برخط برمبنای برنامه ریزی پویای تقریبی تک-شبکه برای حل تقریبی بازی های گرافی

دیفرانسیلی زمان پیوسته غیرخطی با تابع هزینه زمان نامحدود و دینامیک معین پیشنهاد شده است. در بازی های گرافی ...

In this paper, we investigate the problem of agent-

based centralized fuzzy Kalman filters observing an uncertain

physical process with parametric uncertainties. An agent-

based sensor nehvork is a ...

This paper develops an optimal relative output-feedback based solution to the containment

control problem of linear heterogeneous multi-agent systems. A distributed

optimal control protocol is presented for ...