Volume 10, Number 2

Modelling of Intelligent Agents Using A–Prolog


Fernando Zacarias1, Rosalba Cuapa2, Luna Jimenez1 and Noemi Vazquez2, 1Benemérita Unversidad Autónoma de Puebla, México and 2BUAP, México


Nowadays, research in artificial intelligence has widely grown in areas such as knowledge representation, goal-directed behaviour and knowledge reusability, all of them directly relevant to improving intelligent agents in computer games. In a particular way, we focus on the development of a novel algorithm that allow an agent to combine fundamental theories such as reasoning, learning and simulation. This algorithm combines a system of logical rules and a simulation mechanism based on learning that makes our agent has an infallible mechanism for decision-making into the game “connect four”. The logic system is developed in a modelling language known as Answer Set Programming or A–Prolog. This paradigm is the integration of two well-known languages, namely Prolog and ASP


Agents, Games, A–Prolog, Answer Set Programming & Logic Programming