In most previous work on personalized search algorithms, the results for all queries are personalized in the same manner. However, as we show in this paper, there is a lot of vari...
Recently, a convergence proof of stochastic search algorithms toward finite size Pareto set approximations of continuous multi-objective optimization problems has been given. The...
This study describes how complex goal-directed behavior can evolve in a hierarchically organized recurrent neural network controlling a simulated Khepera robot. Different types of ...
■ Proactive interference (PI), which is formed through repetition of certain behavior and lasts for a while, needs to be inhibited in order for subsequent behavior to prevail ov...
Seiki Konishi, Takamitsu Watanabe, Koji Jimura, Ju...
Abstract—This paper presents a hierarchical control architecture that enables cooperative surveillance by a heterogeneous aerial robot network comprised of mothership unmanned ai...