This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
In this paper we introduce PRIMA: A PRecise vIsual language for Modeling with Agents, in a physical environment. Our objective is to design an expressive Domain Specific Visual La...
The initial step of any software engineering methodology is to form requirements. Recently, a goal-oriented approach to requirements has been proposed and argued to be beneficial...
Crowd simulations require both rendering visually plausible images and managing the behavior of autonomous agents. Therefore, these applications need an efficient design that allo...