This paper presents an auction system based on mobile agents. By using a proxy server, a user can generate a mobile auction agent by giving the bidding information, including the ...
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
A fundamental challenge that must be met to achieve a usable conversational interface to Geographic Information System (GIS) is how to enable a more natural interaction between th...
Reinforcement learning techniques are increasingly being used to solve di cult problems in control and combinatorial optimization with promising results. Implicit imitation can acc...
The goal of the paper is to create a model for investigating the character of relationships between the freedom and restrictions in the terrorism context, in order to find out how ...