The evolution of controllers for heterogeneous Multi-Agent Systems, wherein two or more agents interact, is a fascinat- ing area of research. While using evolutionary algorithms is a straightforward approach, the resulting behavior strongly de- pends on the capabilities of each individual and the type of established interaction. Recently, a novel technique, called n-mates evaluation, has been proposed to better estimate the contribution of individuals and generate more adaptive agents. However, the significance of parameter n has not been investigated. In this work, we analyze the impact of the parameter on the performance and adaptability of two agents collaborating to solve various evolutionary benchmark prob- lems (i.e., foraging, escaping, aggregation). Statistical analy- sis demonstrates that selecting n = 5 results in superior out- comes across all investigated parameters (n ∈ [1, 2, 5, 10]).

The role of n in the n-mates evaluation method: a quantitative analysis

Paolo Pagliuca
Co-primo
;
Alessandra Vitanza
Co-primo
2024

Abstract

The evolution of controllers for heterogeneous Multi-Agent Systems, wherein two or more agents interact, is a fascinat- ing area of research. While using evolutionary algorithms is a straightforward approach, the resulting behavior strongly de- pends on the capabilities of each individual and the type of established interaction. Recently, a novel technique, called n-mates evaluation, has been proposed to better estimate the contribution of individuals and generate more adaptive agents. However, the significance of parameter n has not been investigated. In this work, we analyze the impact of the parameter on the performance and adaptability of two agents collaborating to solve various evolutionary benchmark prob- lems (i.e., foraging, escaping, aggregation). Statistical analy- sis demonstrates that selecting n = 5 results in superior out- comes across all investigated parameters (n ∈ [1, 2, 5, 10]).
2024
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Istituto di Scienze e Tecnologie della Cognizione - ISTC - Sede Secondaria Catania
Multi-Agent Systems, n-mates evaluation, robot cooperation
File in questo prodotto:
File Dimensione Formato  
The role of n in the n-mates evaluation method_ a quantitative analysis.pdf

accesso aperto

Descrizione: Paolo Pagliuca, Alessandra Vitanza; July 22–26, 2024. "The role of n in the n-mates evaluation method: a quantitative analysis." Proceedings of the ALIFE 2024: Proceedings of the 2024 Artificial Life Conference. ALIFE 2024: Proceedings of the 2024 Artificial Life Conference. Online. (pp. 111). ASME. https://doi.org/10.1162/isal_a_00824
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 3.18 MB
Formato Adobe PDF
3.18 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/514807
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact