Comportamientos Reales en Evacuaciones de Centros de Trabajo Usando Agentes Inteligentes (Modeling Workplace Evacuation Behaviors Using Intelligent Agents)

Marco Antonio Ramos (, Vianney Muñoz (, Erick Castellanos (, Félix Ramos (

1Universidad Autónoma del Estado de México
2Cinvestav Unidad Guadalajara

This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2016
Volume: 14,   Issue: 9 
ISSN: 1548-0992

A major challenge in artificial intelligence has been the development of autonomous agents (AAs) capable of displaying believable behaviours. To achieve such objective, the underlying architectures of these intelligent systems have been designed to incorporate Learning Classifier System that provides an adaptation naturally with the environment. It is expected that through the interaction of this type of components, AAs can implement more intelligent and believable behaviour. Although the literature reports several computational models of behaviors, attention, and emotions developed to be included in cognitive agent architectures, these have been implemented as separated processes, disregarding essential interactions between these behaviors whose modeling and computational implementation may increase the believability of actions developed by AAs. In this paper, we propose an evolutive computational model. This model is designed to provide AAs with adequate mechanisms to attend and react to conditions and changes in the environment.

Index Terms:
Artificial Intelligence, Computational Modeling, LCS, Autonomous Agents.   

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