0000000000790677

AUTHOR

Diego Gonzalez-rodriguez

showing 3 related works from this author

A Bacterial-Based Algorithm to Simulate Complex Adaptative Systems

2014

Paper presented at the 13th International Conference on Simulation of Adaptive Behavior which took place at Castellón, Spain in 2014, July 22-25. Bacteria have demonstrated an amazing capacity to overcome envi-ronmental changes by collective adaptation through genetic exchanges. Using a distributed communication system and sharing individual strategies, bacteria propagate mutations as innovations that allow them to survive in different envi-ronments. In this paper we present an agent-based model which is inspired by bacterial conjugation of DNA plasmids. In our approach, agents with bounded rationality interact in a common environment guided by local rules, leading to Complex Adaptive Syste…

Artificial SocietyComputer sciencebusiness.industryComplex Adaptive SystemsArtificial societyBacterial conjugationAutonomous agentCASComplexityCommunications systemBounded rationalityBiblioteconomía y DocumentaciónP2P SocietyBacterial-based AlgorithmsCollective adaptationArtificial intelligenceComplex adaptive systemAdaptation (computer science)businessAlgorithm
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Decentralization and heterogeneity in complex adaptative systems

2015

Purpose – Following a bacterial-based modeling approach, the authors want to model and analyze the impact of both decentralization and heterogeneity on group behavior and collective learning. The paper aims to discuss these issues. Design/methodology/approach – Inspired by bacterial conjugation, the authors have defined an artificial society in which agents’ strategies adapt to changes in resources location, allowing migration, and survival in a dynamic sugarscape-like scenario. To study the impact of these variables the authors have simulated a scenario in which resources are limited and localized. The authors also have defined three constraints in genetic information processing (inhibiti…

Process managementInformation theoryComputer scienceArtificial societyIntelligent agentsEmergenceInformation theorycomputer.software_genreSocial systemsTheoretical Computer ScienceIntelligent agentAutopoiesisComputer Science (miscellaneous)AdaptationComplex adaptive systemAdaptation (computer science)Engineering (miscellaneous)business.industryInformation processingCollaborative learningBiblioteconomía y DocumentaciónControl and Systems EngineeringMutation (genetic algorithm)Artificial intelligencebusinesscomputerSocial Sciences (miscellaneous)
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Self-Organized Linguistic Systems: From traditional AI to bottom-up generative processes

2018

Este trabajo busca explorar el potencial de los procesos generativos bottom-up en el contexto de la producción conlang, con el objetivo de describir las bases de un nuevo campo de investigación: los Sistemas Lingüísticos Autoorganizados o SOLS, específicamente bajo la perspectiva doble de sistemas autoorganizados y lenguajes construidos. El enfoque SOLS proporciona un marco para la creación de lenguajes artificiales autogenerados y puede servir como punto de partida para el desarrollo de lenguajes dependientes del contexto o específicos del dominio. Reconoce que el desarrollo de conlangs puede ocurrir en sociedades artificiales de agentes simples, como resultado de interacciones sociales en…

:CIENCIAS TECNOLÓGICAS [UNESCO]Sociology and Political ScienceKnowledge representation and reasoningComputer scienceContext (language use)02 engineering and technologyDevelopment050105 experimental psychology0202 electrical engineering electronic engineering information engineeringemergence0501 psychology and cognitive sciencesBusiness and International ManagementAdaptation (computer science)UNESCO::LÓGICAconlangsconstructed languages05 social sciencesTop-down and bottom-up designUNESCO::CIENCIAS TECNOLÓGICASartificial intelligenceagent-based modellingUNESCO::LINGÜÍSTICAself-organizationLinguisticsConstructed languageSocial dynamics:LINGÜÍSTICA [UNESCO]Embodied cognition020201 artificial intelligence & image processing:LÓGICA [UNESCO]Generative grammarFutures
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