This paper proposes a functional ontology of reputation for agents. The goal of this ontology is twofold. First, to put together the broad knowledge about reputation produced in s...
The increasing number of competitors and the growing traffic demand are the main factors pushing for a more dynamic and flexible service demand allocation mechanism. Human interac...
We present a new approach for finding generalized contingent plans with loops and branches in situations where there is uncertainty in state properties and object quantities, but ...
Siddharth Srivastava, Neil Immerman, Shlomo Zilber...
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
The error-correcting output coding (ECOC) method reduces the multiclass learning problem into a series of binary classifiers. In this paper, we consider the dense ECOC methods, co...
Aijun Zhang, Zhi-Li Wu, Chun Hung Li, Kai-Tai Fang