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William M Hayes

Datos Biográficos

ID6540801
NOMBREWilliam M Hayes
NOMBRESWilliam M
APELLIDOHayes
FIRMAHAYES W M
AFILIACIONESUniversity of South Carolina
ORCID0000-0001-5378-656X
VERIFICADOSí
TOTAL DE OBRAS7
TOTAL DE CITAS0
TOTAL COMO AUTOR7
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2018
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Relative Value Encoding in Large Language Models

    Open Access•William M Hayes, Nicolas Yax et al.•ARTICLE•Open MIND•2025

    Abtract In-context learning enables large language models (LLMs) to perform a variety of tasks, including solving reinforcement learning (RL) problems. Given their potential use as (autonomous) decision-making agents, it is important to understand how these models behave in RL tasks and the extent to which they are susceptible to biases. Motivated by the fact that, in humans, it has been widely documented that the value of a choice outcome depend…

  • Attribute commensurability and context effects in preferential choice

    Open Access•William M Hayes, William R Holmes et al.•ARTICLE•Psychonomic Bulletin & Review•2025

  • The effect of auditory valence on subsequent visual semantic processing

    Open Access•Chuanji Gao, William M Hayes et al.•ARTICLE•Psychonomic Bulletin & Review•2023

  • Effects of blocked versus interleaved training on relative value learning

    Open Access•William M Hayes, Douglas H Wedell•ARTICLE•Psychonomic Bulletin & Review•2023

  • Testing models of context-dependent outcome encoding in reinforcement learning

    Open Access•William M Hayes, Douglas H Wedell•ARTICLE•Cognition•2023

  • Context effects on choice under cognitive load

    Open Access•Douglas H Wedell, William M Hayes et al.•ARTICLE•Psychonomic Bulletin & Review•2022

  • The effect of active participation on performance and understanding on the Iowa gambling task

    Open Access•Sean Vanhille, Brittany Palmer et al.•ARTICLE•Journal of Behavioral Decision…•2018

    The Iowa gambling task (IGT) was developed as a neuropsychological assessment of “real‐life” decision making in a laboratory setting by Bechara, Damasio, Damasio, and Anderson in . The IGT was originally implemented as a manual task during which the participants selected paper cards. The task has since evolved into a computerized assessment tool (Psychological Assessment Resources IGT or PARTMIGT) that uses only virtual cards and reinforcement sc…

Sin obras prominentes en esta página.

  • The effect of active participation on performance and understanding on the Iowa gambling task

    Open Access•Sean Vanhille, Brittany Palmer et al.•ARTICLE•Journal of Behavioral Decision…•2018

    The Iowa gambling task (IGT) was developed as a neuropsychological assessment of “real‐life” decision making in a laboratory setting by Bechara, Damasio, Damasio, and Anderson in . The IGT was originally implemented as a manual task during which the participants selected paper cards. The task has since evolved into a computerized assessment tool (Psychological Assessment Resources IGT or PARTMIGT) that uses only virtual cards and reinforcement sc…

  • Context effects on choice under cognitive load

    Open Access•Douglas H Wedell, William M Hayes et al.•ARTICLE•Psychonomic Bulletin & Review•2022

  • The effect of auditory valence on subsequent visual semantic processing

    Open Access•Chuanji Gao, William M Hayes et al.•ARTICLE•Psychonomic Bulletin & Review•2023

  • Effects of blocked versus interleaved training on relative value learning

    Open Access•William M Hayes, Douglas H Wedell•ARTICLE•Psychonomic Bulletin & Review•2023

  • Testing models of context-dependent outcome encoding in reinforcement learning

    Open Access•William M Hayes, Douglas H Wedell•ARTICLE•Cognition•2023

  • Relative Value Encoding in Large Language Models

    Open Access•William M Hayes, Nicolas Yax et al.•ARTICLE•Open MIND•2025

    Abtract In-context learning enables large language models (LLMs) to perform a variety of tasks, including solving reinforcement learning (RL) problems. Given their potential use as (autonomous) decision-making agents, it is important to understand how these models behave in RL tasks and the extent to which they are susceptible to biases. Motivated by the fact that, in humans, it has been widely documented that the value of a choice outcome depend…

  • Attribute commensurability and context effects in preferential choice

    Open Access•William M Hayes, William R Holmes et al.•ARTICLE•Psychonomic Bulletin & Review•2025

Cognitive psychology (6 obras) · Computer Science (6 obras) · Psychology (6 obras) · Neural and Behavioral Psychology Studies (5 obras) · Social Psychology (4 obras) · Artificial Intelligence (3 obras) · Behavioral Health and Interventions (3 obras) · Cognition (3 obras) · Context effect (3 obras) · Decision-Making and Behavioral Economics (3 obras)

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