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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Ramos, R. P:, Oliveira, S. M., Vieira, S. M. & Christensen, A. L. (2019). Evolving flocking in embodied agents based on local and global application of Reynolds’ rules. PLoS One. 14 (10)
Exportar Referência (IEEE) 
R. P. Ramos et al.,  "Evolving flocking in embodied agents based on local and global application of Reynolds’ rules", in PLoS One, vol. 14, no. 10, 2019
Exportar BibTeX 
@article{ramos2019_1713862967170,
	author = "Ramos, R. P: and Oliveira, S. M. and Vieira, S. M. and Christensen, A. L.",
	title = "Evolving flocking in embodied agents based on local and global application of Reynolds’ rules",
	journal = "PLoS One",
	year = "2019",
	volume = "14",
	number = "10",
	doi = "10.1371/journal.pone.0224376",
	url = "https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0224376"
}
Exportar RIS 
TY  - JOUR
TI  - Evolving flocking in embodied agents based on local and global application of Reynolds’ rules
T2  - PLoS One
VL  - 14
IS  - 10
AU  - Ramos, R. P:
AU  - Oliveira, S. M.
AU  - Vieira, S. M.
AU  - Christensen, A. L.
PY  - 2019
SN  - 1932-6203
DO  - 10.1371/journal.pone.0224376
UR  - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0224376
AB  - In large scale systems of embodied agents, such as robot swarms, the ability to flock is essential in many tasks. However, the conditions necessary to artificially evolve self-organised flocking behaviours remain unknown. In this paper, we study and demonstrate how evolutionary techniques can be used to synthesise flocking behaviours, in particular, how fitness functions should be designed to evolve high-performing controllers. We start by considering Reynolds' seminal work on flocking, the boids model, and design three components of a fitness function that are directly based on his three local rules to enforce local separation, cohesion and alignment. Results show that embedding Reynolds' rules in the fitness function can lead to the successful evolution of flocking behaviours. However, only local, fragmented flocking behaviours tend to evolve when fitness scores are based on the individuals' conformity to Reynolds' rules. We therefore modify the components of the fitness function so that they consider the entire group of agents simultaneously, and find that the resulting behaviours lead to global flocking. Furthermore, the results show that alignment need not be explicitly rewarded to successfully evolve flocking. Our study thus represents a significant step towards the use of evolutionary techniques to synthesise collective behaviours for tasks in which embodied agents need to move as a single, cohesive group. 
ER  -