Density classification based on agents under majority rule: Connectivity influence on performance
dc.contributor.author | Abilhoa W.D. | |
dc.contributor.author | de Oliveira P.P.B. | |
dc.date.accessioned | 2024-03-12T23:50:40Z | |
dc.date.available | 2024-03-12T23:50:40Z | |
dc.date.issued | 2020 | |
dc.description.abstract | © Springer Nature Switzerland AG 2020.The density classification task is a prototypical consensus problem of distributed solution, usually addressed in the field of cellular automata. In short, this problem consists of finding the most frequent state in a binary sequence, necessarily through a non-global process on which the automaton reaches uniform consensus about such state. In this regard, we formulate the task as an agent-based model, in which agents set up a connectivity pattern, here corresponding to a circulant graph, and update their internal states according to the majority rule. The performance of the model corresponds to the number of correctly classified densities, given a set of binary sequences. Therefore, our goal is to analyze the sensibility of the model’s performance in terms of the connectivity pattern associated with it, configured as a circulant graph, under different orders, average degrees and connectivity arrangements. | |
dc.description.firstpage | 163 | |
dc.description.lastpage | 170 | |
dc.description.volume | 1003 | |
dc.identifier.doi | 10.1007/978-3-030-23887-2_19 | |
dc.identifier.issn | 2194-5365 | |
dc.identifier.uri | https://dspace.mackenzie.br/handle/10899/35133 | |
dc.relation.ispartof | Advances in Intelligent Systems and Computing | |
dc.rights | Acesso Restrito | |
dc.subject.otherlanguage | Agent-based models | |
dc.subject.otherlanguage | Circulant graphs | |
dc.subject.otherlanguage | Density classification | |
dc.subject.otherlanguage | Distributed problem solving | |
dc.subject.otherlanguage | Emergent computation | |
dc.subject.otherlanguage | Majority rule | |
dc.title | Density classification based on agents under majority rule: Connectivity influence on performance | |
dc.type | Artigo de evento | |
local.scopus.citations | 3 | |
local.scopus.eid | 2-s2.0-85068615540 | |
local.scopus.subject | Agent-based model | |
local.scopus.subject | Circulant graphs | |
local.scopus.subject | Density classifications | |
local.scopus.subject | Distributed problem solving | |
local.scopus.subject | Emergent computation | |
local.scopus.subject | Majority rule | |
local.scopus.updated | 2024-05-01 | |
local.scopus.url | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068615540&origin=inward |