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Toward a Psychology of Deep Reinforcement Learning Agents Using a Cognitive Architecture
Topics in Cognitive Science, 2021AbstractWe argue that cognitive models can provide a common ground between human users and deep reinforcement learning (Deep RL) algorithms for purposes of explainable artificial intelligence (AI). Casting both the human and learner as cognitive models provides common mechanisms to compare and understand their underlying decision‐making processes. This
Konstantinos Mitsopoulos +5 more
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ICN‐driven group psychology visualization analysis mechanism using reinforcement learning
Internet Technology Letters, 2021Reinforcement Learning (RL) has been widely considered as a robust method to complete the large‐scale data analysis with high computation efficiency, learning ability, and stability, and it has been applied into many fields, such as transaction detection,
Yewen Qin
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Two‐stage reinforcement learning task predicts psychological traits
PsyCh Journal, 2023AbstractExternal sources of information influence human actions. However, psychological traits (PTs), considered internal variables, also play a crucial role in decision making. PTs are stable across time and contexts and define the set of behavioral repertoires that individuals express. Here, we explored how multiple metrics of adaptive behavior under
Mario Treviño +5 more
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Intelligent problem-solving as integrated hierarchical reinforcement learning
Nature Machine Intelligence, 2022According to cognitive psychology and related disciplines, the development of complex problem-solving behaviour in biological agents depends on hierarchical cognitive mechanisms.
Manfred Eppe +5 more
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Reinforcement Learning with Fast and Forgetful Memory
Neural Information Processing Systems, 2023Nearly all real world tasks are inherently partially observable, necessitating the use of memory in Reinforcement Learning (RL). Most model-free approaches summarize the trajectory into a latent Markov state using memory models borrowed from Supervised ...
Steven D. Morad +3 more
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Reinforcement Principles in an Introductory Educational Psychology Course
The Journal of Educational Research, 1972An experimental teaching procedure was applied to the classroom behavior of 143 students enrolled in an undergraduate Educational Psychology class. Primary questions concerned: (a) the efficacy of the experimental procedure in promoting student achievement, and (b) student perceptions regarding the relative value of the course.
Oary L. Sapp +2 more
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REINFORCEMENT OF PERFORMANCE ESTIMATION IN INTRODUCTORY PSYCHOLOGY
Psychological Reports, 199864 undergraduates enrolled in two sections of introductory psychology estimated their performance on each of four upcoming classroom tests. One section ( n = 30, 14 men and 16 women) received extra credit for accurate predictions of their test scores and the other section ( n = 34, 15 men and 19 women) received no reinforcement.
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WITHDRAWN: Effects of Reinforcer Type on Performance of Psychological Tasks
Neurotoxicology and Teratology, 2007This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at http://www.elsevier.com/locate/withdrawalpolicy.
S L, Freas +3 more
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IEEE Transactions on Cognitive and Developmental Systems
This study is an empirical investigation into the semantic vulnerabilities of four popular pretrained commercial large language models (LLMs) to ideological manipulation.
Timothy R. Mcintosh +4 more
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This study is an empirical investigation into the semantic vulnerabilities of four popular pretrained commercial large language models (LLMs) to ideological manipulation.
Timothy R. Mcintosh +4 more
semanticscholar +1 more source