Non-Commutative Logic for Collective Decision-Making with Perception Bias

Autor: Evgeny Kagan, Alexander Novoselsky, Daria Ramon, Alexander Rybalov

Publikováno v: Robotics, Vol 12, Iss 3, p 76 (2023)

In this paper, we suggest an implementation of non-commutative logic and apply its operators for decision-making in a group of autonomous agents. The suggested operators extend the uninorm and absorbing norm aggregators and use an additional asymmetr

Externí odkaz: https://doaj.org/article/be543024653d45428ac0055cd8256f9a

A New Metric for the Analysis of Swarms Using Potential Fields

Autor: Neil Eliot, David Kendall, Michael Brockway

Publikováno v: IEEE Access, Vol 6, Pp 63258-63267 (2018)

There are many metrics defined for the analysis of swarm coordination algorithms. These metrics are usually based upon the distances between agents, the distance between agents and a fixed point, or the resultant vectors that potential field effects

Externí odkaz: https://doaj.org/article/1590c015490847428c9434a4c0e3963d

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Towards a Mathematical Theory of Behavioral Human Crowds

Autor: Nicola Bellomo, Livio Gibelli, Annalisa Quaini, Alessandro Reali

Publikováno v: Bellomo, N, Gibelli, L, Quaini, A & Reali, A 2022, ' Towards a Mathematical Theory of Behavioral Human Crowds ', Mathematical Models and Methods in Applied Sciences, vol. 32, no. 02, pp. 321-358 . https://doi.org/10.1142/S0218202522500087
Digibug. Repositorio Institucional de la Universidad de Granada
instname

Nicola Bellomo acknowledges the support of the University of Granada, Project Modeling in Nature MNat from micro to macro, https://www.modelingnature.org.This paper has been partially supported by the MINECO-Feder (Spain) research Grant Number RTI201

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d64e2739e913a8a63f7c897c306f447
https://hdl.handle.net/20.500.11820/6ca5a989-8f3d-49b9-a6f0-cf528d2f2fa2

A Lyapunov-Based Extension to Particle Swarm Dynamics for Continuous Function Optimization

Autor: Sang Yong Han, Swagatam Das, Sayantani Bhattacharya, Amit Konar

Publikováno v: Sensors, Vol 9, Iss 12, Pp 9977-9997 (2009)

The paper proposes three alternative extensions to the classical global-best particle swarm optimization dynamics, and compares their relative performance with the standard particle swarm algorithm. The first extension, which readily follows from the

Externí odkaz: https://doaj.org/article/873c127b72404349b4e7dec7836caebf