000136216 001__ 136216
000136216 005__ 20250908131438.0
000136216 0247_ $$2doi$$a10.1088/2632-072X/ad577f
000136216 0248_ $$2sideral$$a139136
000136216 037__ $$aART-2024-139136
000136216 041__ $$aeng
000136216 100__ $$0(orcid)0000-0002-9769-8796$$aGracia-Lázaro, Carlos
000136216 245__ $$aExploring the interplay of technology, pro-family and prosocial behavior in settlement formation
000136216 260__ $$c2024
000136216 5060_ $$aAccess copy available to the general public$$fUnrestricted
000136216 5203_ $$aWe present an agent-based model that explores the intricate relationship between pro-family and prosocial behaviors and their impact on settlement formation. The objective is to investigate how the technological level and various constraints influence the transition from pro-family to prosocial behavior. The model incorporates factors such as the specialization requirements of the technology, societal tolerance, and dynamic interactions within a synthetic population, where individuals may prioritize either their family or their own settlement. Agents’ fitness is determined by two components: the proportion of pro-family agents within their family and the fraction of prosocial agents in their settlement, along with its size. Our findings reveal that (i) the technological level drives the transition from pro-family to prosocial behavior, and (ii) the developmental requirements of the technology shape the smoothness of this transition, ranging from abrupt to gradual. These results emphasize the significance of considering the interplay between the technological level, the nature of the technology, and cultural influences when examining settlement patterns and the dynamics of pro-family and prosocial behaviors in human societies.
000136216 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E36-23R-FENOL$$9info:eu-repo/grantAgreement/ES/MCIN-AEI-FEDER/PID2020-115800GB-I00
000136216 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000136216 592__ $$a0.641$$b2024
000136216 593__ $$aArtificial Intelligence$$c2024$$dQ2
000136216 593__ $$aInformation Systems$$c2024$$dQ2
000136216 593__ $$aComputer Science Applications$$c2024$$dQ2
000136216 593__ $$aComputer Networks and Communications$$c2024$$dQ2
000136216 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000136216 700__ $$aHernández, Alexis R.
000136216 700__ $$0(orcid)0000-0002-2789-9250$$aMaciel-Cardoso, Felipe
000136216 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Yamir$$uUniversidad de Zaragoza
000136216 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000136216 773__ $$g5, 2 (2024), 025027 [13 pp.]$$tJournal of Physics: Complexity$$x2632-072X
000136216 8564_ $$s898880$$uhttps://zaguan.unizar.es/record/136216/files/texto_completo.pdf$$yVersión publicada
000136216 8564_ $$s577026$$uhttps://zaguan.unizar.es/record/136216/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000136216 909CO $$ooai:zaguan.unizar.es:136216$$particulos$$pdriver
000136216 951__ $$a2025-09-08-12:58:20
000136216 980__ $$aARTICLE