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Dataset - Autonomous Population Regulation using a Multi-Agent System in a Prey-Predator Model which integrates Cellular Automata and the African Buffalo Optimization Metaheuristic

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posted on 2018-01-27, 13:24 authored by Boris AlmonacidBoris Almonacid, Fabian Aspée, Francisco Yimes
Data set to be used in Rstudio.
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Includes:
- Output of a type E experiment with and without agents.
- 1 set of scripts in R to be able to reproduce the graphs of the experiment.
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Parameters of a type E experiment
- lp1: 5
- lp2: 5
- lamba: 0.5

Funding

Boris Almonacid is supported by Postgraduate Grant Pontificia Universidad Católica de Valparaíso, Chile (VRIEA 2016-2017 and INF-PUCV 2015); by Animal Behavior Society, USA (Developing Nations Research Awards 2016) and by Ph.D (h.c) Sonia Alvarez, Chile. Fabian Aspée is partially supported by Postgraduate Grant Pontificia Universidad Católica de Valparaíso, Chile (INF-PUCV 2017).

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    Keywords

    Artificial intelligentAfrican Buffalo OptimizationMetaheuristicsMulti-Agent SystemCellular AutomataAutonomous Population RegulationLatticeTorusArtificial LifeSimulationArtificial LifeAdaptive Agents and Intelligent Robotics

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    CC BY 4.0

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