Abstract. We consider Reinforcement Learning for average reward zerosum stochastic games. We present and analyze two algorithms. The first is based on relative Q-learning and the ...
This paper presents an approach to automated negotiation between agents which attempts to combine the advantages of a co-operative value adding approach, with the reality that neg...
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
Trust negotiation supports authentication and access control across multiple security domains by allowing parties to use non-forgeable digital credentials to establish trust. By t...
Anna Cinzia Squicciarini, Alberto Trombetta, Elisa...
In this paper, we describe data support in an information system to support contextual, online negotiation of privacy contracts for e-commerce on the Semantic Web. Context is impo...