In surveillance and tracking applications, wireless sensor nodes collectively monitor the existence of intruding targets. In this paper, we derive closed form results for predicti...
Qing Cao, Ting Yan, John A. Stankovic, Tarek F. Ab...
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
This paper describes conceptionof social robot systemas self-organizing system. Distributed autonomousrobot systemis not autonomousas a group, if the systemtotally depends on the ...
Multicast services are demanded by a variety of applications. Many applications require anonymity during their communication. However, there has been very little work on anonymous...
Li Xiao, Xiaomei Liu, Wenjun Gu, Dong Xuan, Yunhao...
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how local learning rules at single synapses su...
Robert A. Legenstein, Dejan Pecevski, Wolfgang Maa...