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Laureano-Cruces, A.L., de la Cruz-González, J.M., Ramírez-Rodríguez, J. and Solano-González, J. (2004) Reactive Agents to Improve a Parallel Genetic Algorithm Solution. In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E. and Sossa, H., Eds., MICAI 2004: Advances in Artificial Intelligence, Springer, 698-706.
https://doi.org/10.1007/978-3-540-24694-7_72

has been cited by the following article:

• TITLE: An Emotion Model for Predator-Prey Bird Behavior

  AUTHORS: Ana Lilia Laureano-Cruces, André Navarro-Bárcenas, Ricardo Céspedes-Valle, Martha Mora-Torres, Lourdes Sánchez-Guerrero

  KEYWORDS: Predator-Prey Bird Behavior, Affective-Cognitive Structure, Computer Simulation Multi-Agent Systems, Mental Models

  JOURNAL NAME: International Journal of Intelligence Science, Vol.15 No.1, January 31, 2025

  ABSTRACT: One of the main objectives of artificial intelligence lies in the simulation of the behavior of living organisms; emotions are a fundamental part of life, and they cannot be left aside when simulating behavior. In this research, software is developed that simulates the behavior of birds with different characteristics. The latter interacts by considering different stimuli from the environment (external), and the internal state of the subject (objectives). To achieve this, a model of birds in the role of prey and predators is developed that focuses on the study of the interaction between these organisms that exhibit specific behaviors in their environment. This project is a seminal work that aims to represent the emotions of birds, and the latter caused by stimuli from a dynamic environment.