— In this paper we show that significant simplicity can be exploited for pricing-based control of large networks. We first consider a general loss network with Poisson arrivals...
This paper addresses an ongoing experience in the design of an artificial agent taking decisions in a role playing game populated by human agents and by artificial agents. At fi...
Making it easier to design interactions between agents and humans is essential for realizing multi-agent simulations of social phenomena such as group dynamics. To realize large-s...
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Function is a dynamic property closely related to the conformational mechanisms of the protein structure in its physiological environment. Efficient methods and tools for predicti...
Xiong Liu, Hassan A. Karimi, Lee-Wei Yang, Ivet Ba...