An Iowa Gambling Task-based experiment applied to robots: A Study on Long-term Decision Making

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Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorBerto, Leticia M.-
Autor(es): dc.creatorCosta, Paula D. P.-
Autor(es): dc.creatorSimoes, Alexandre S. [UNESP]-
Autor(es): dc.creatorGudwin, Ricardo R.-
Autor(es): dc.creatorColombini, Esther L.-
Data de aceite: dc.date.accessioned2022-08-04T22:12:19Z-
Data de disponibilização: dc.date.available2022-08-04T22:12:19Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2021-08-23-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/ICDL49984.2021.9515632-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/222377-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/222377-
Descrição: dc.descriptionDesigning a robot's decision-making process is challenging because it is still not completely understood even in humans. However, it is a fundamental process in the search for autonomous agents. When making decisions, we consider the short and long-term consequences of our actions, but some impairments prevent some people from seeing in the long run. Using as an inspiration an experiment carried out with humans in which decision-making is evaluated under the uncertainty of premises and results, rewards, and punishments, we created an equivalent robotics experiment. To model our agent's state, we use a set of drives. Our agent's goal is to reduce the distance between its homeostasis state and its needs. We trained a simulated robot with reinforcement learning, showing that long-term assessment agents can survive longer while satisfying other needs.-
Descrição: dc.descriptionLab. of Robotics and Cognitive Systems-UNICAMP-
Descrição: dc.descriptionDCA-FEEC-UNICAMP-
Descrição: dc.descriptionUNESP Dept. of Control and Automation Engineering-
Descrição: dc.descriptionUNESP Dept. of Control and Automation Engineering-
Idioma: dc.languageen-
Relação: dc.relationIEEE International Conference on Development and Learning, ICDL 2021-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAction selection and planning-
Palavras-chave: dc.subjectExploration and Play-
Palavras-chave: dc.subjectIntrinsic Motivation-
Palavras-chave: dc.subjectModels of emotions and internal states-
Título: dc.titleAn Iowa Gambling Task-based experiment applied to robots: A Study on Long-term Decision Making-
Aparece nas coleções:Repositório Institucional - Unesp

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