In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...
In mobile ad-hoc peer-to-peer (M-P2P) networks, a large percentage of the mobile peers typically do not provide any service to the network, thereby motivating incentive schemes for...
Abstract. This work proposes LEASE, a novel Mobile-P2P lease-based economic incentive model, in which data requestors need to pay the price (in virtual currency) of their requested...
In this paper, we propose a new scheduling algorithm with economic theory, called Black Scholes Market (BSM) algorithm for a class of Dynamic Jobs (DJ). BSM is based on the classi...
Bo Cao, Yongwei Wu, Guangwen Yang, Jia Liu, Jianji...
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...