Simulation of Cognitive Processes: A Case Study with Animals in Digital Games
DOI:
https://doi.org/10.5753/reic.2026.7250Keywords:
Digital Games, Decision Making, Artificial Intelligence, Predictive Control, Behavior Models, Agent SimulationAbstract
This paper presents the development of an artificial intelligence approach based on Model Predictive Control for the simulation of animals in digital games. The main objective is to assess whether this approach can increase the autonomy and flexibility of virtual character behavior, bringing computational decision making closer to patterns commonly observed in biological systems. The proposed model is compared with a Finite-state Machine baseline. The evaluation is performed through controlled simulations under different initial conditions and difficulty levels. Results indicate that the MPC-based model achieves a longer average survival time and exhibits more flexible behavior than the FSM approach, especially in ideal and intermediate scenarios, responding more effectively to environmental changes.
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