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Simon Ciranka

Biographic Data

ID1837634
NAMESimon Ciranka
GIVEN NAMESSimon
FAMILY NAMECiranka
SIGNATURECIRANKA S
AFFILIATIONSMax Planck Institute for Human Development
ORCID0000-0002-2067-9781
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS4
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Low socioeconomic status amplifies the perceived rarity of large rewards

    Open Access•Simon Ciranka, Coralie Chevallier et al.•ARTICLE•Cognition•2026

    Decision-making relies on heuristics derived from past experiences that likely vary with socioeconomic status. We investigate socioeconomic differences in people's reliance on a risk-reward heuristic, which exploits the tendency for larger rewards to be less probable in the world. In simulations, we show that a stronger relationship between rewards and their occurrence probability is expected under conditions of scarcity and high competition when…

  • Developmental changes in exploration resemble stochastic optimization

    Open Access•Anna P Giron, Simon Ciranka et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 1•References: 75

    Human development is often described as a 'cooling off' process, analogous to stochastic optimization algorithms that implement a gradual reduction in randomness over time. Yet there is ambiguity in how to interpret this analogy, due to a lack of concrete empirical comparisons. Using data from n = 281 participants ages 5 to 55, we show that cooling off does not only apply to the single dimension of randomness. Rather, human development resembles …

  • Asymmetric reinforcement learning facilitates human inference of transitive relations

    Open Access•Simon Ciranka, Juan Linde-Domingo et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 3•References: 59

    Humans and other animals are capable of inferring never-experienced relations (for example, A > C) from other relational observations (for example, A > B and B > C). The processes behind such transitive inference are subject to intense research. Here we demonstrate a new aspect of relational learning, building on previous evidence that transitive inference can be accomplished through simple reinforcement learning mechanisms. We show in simulation…

  • Adolescent risk-taking in the context of exploration and social influence

    Open Access•Simon Ciranka, Wouter Van Den Bos•ARTICLE•Developmental Review•2021

    Adolescents are often described as a strange and different species that behaves like no other age group, typical behaviours being excessive risk-taking and sensitivity to peer influence. Different theories of adolescent behaviour attribute this to different internal mechanisms like undeveloped cognitive control, higher sensation-seeking or extraordinary social motivation. Many agree that some of adolescent risk-taking behaviour is adaptive. Here …

  • Asymmetric reinforcement learning facilitates human inference of transitive relations

    Open Access•Simon Ciranka, Juan Linde-Domingo et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 3•References: 59

    Humans and other animals are capable of inferring never-experienced relations (for example, A > C) from other relational observations (for example, A > B and B > C). The processes behind such transitive inference are subject to intense research. Here we demonstrate a new aspect of relational learning, building on previous evidence that transitive inference can be accomplished through simple reinforcement learning mechanisms. We show in simulation…

  • Developmental changes in exploration resemble stochastic optimization

    Open Access•Anna P Giron, Simon Ciranka et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 1•References: 75

    Human development is often described as a 'cooling off' process, analogous to stochastic optimization algorithms that implement a gradual reduction in randomness over time. Yet there is ambiguity in how to interpret this analogy, due to a lack of concrete empirical comparisons. Using data from n = 281 participants ages 5 to 55, we show that cooling off does not only apply to the single dimension of randomness. Rather, human development resembles …

  • Adolescent risk-taking in the context of exploration and social influence

    Open Access•Simon Ciranka, Wouter Van Den Bos•ARTICLE•Developmental Review•2021

    Adolescents are often described as a strange and different species that behaves like no other age group, typical behaviours being excessive risk-taking and sensitivity to peer influence. Different theories of adolescent behaviour attribute this to different internal mechanisms like undeveloped cognitive control, higher sensation-seeking or extraordinary social motivation. Many agree that some of adolescent risk-taking behaviour is adaptive. Here …

  • Asymmetric reinforcement learning facilitates human inference of transitive relations

    Open Access•Simon Ciranka, Juan Linde-Domingo et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 3•References: 59

    Humans and other animals are capable of inferring never-experienced relations (for example, A > C) from other relational observations (for example, A > B and B > C). The processes behind such transitive inference are subject to intense research. Here we demonstrate a new aspect of relational learning, building on previous evidence that transitive inference can be accomplished through simple reinforcement learning mechanisms. We show in simulation…

  • Developmental changes in exploration resemble stochastic optimization

    Open Access•Anna P Giron, Simon Ciranka et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 1•References: 75

    Human development is often described as a 'cooling off' process, analogous to stochastic optimization algorithms that implement a gradual reduction in randomness over time. Yet there is ambiguity in how to interpret this analogy, due to a lack of concrete empirical comparisons. Using data from n = 281 participants ages 5 to 55, we show that cooling off does not only apply to the single dimension of randomness. Rather, human development resembles …

  • Low socioeconomic status amplifies the perceived rarity of large rewards

    Open Access•Simon Ciranka, Coralie Chevallier et al.•ARTICLE•Cognition•2026

    Decision-making relies on heuristics derived from past experiences that likely vary with socioeconomic status. We investigate socioeconomic differences in people's reliance on a risk-reward heuristic, which exploits the tendency for larger rewards to be less probable in the world. In simulations, we show that a stronger relationship between rewards and their occurrence probability is expected under conditions of scarcity and high competition when…

Artificial Intelligence (2 works) · Computer Science (2 works) · Decision-Making and Behavioral Economics (2 works) · Evolutionary Game Theory and Cooperation (2 works) · Experimental Behavioral Economics Studies (2 works) · Mathematics (2 works) · Psychology (2 works) · Ambiguity (1 works) · Archaeology (1 works) · Child and Animal Learning Development (1 works)

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