Towards a Quantum-Like Cognitive Architecture for Decision-Making
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Abstract (arXiv)
We propose an alternative and unifying framework for decision-making that, by using quantum mechanics, provides more generalised cognitive and decision models with the ability to represent more information than classical models. This framework can accommodate and predict several cognitive biases reported in Lieder & Griffiths without heavy reliance on heuristics nor on assumptions of the computational resources of the mind.
Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 May 2019.
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Citing papers per year: 2021: 4; 2022: 4; 2023: 2; 2024: 2; 2025: 4; 2026: 1.
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- 2022Language models show human-like content effects on reasoning taskscited by 171
- 2023Lyfe Agents: Generative agents for low-cost real-time social interactionscited by 49
- 2021People construct simplified mental representations to plancited by 45
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- 2021A practical introduction to the Rational Speech Act modeling frameworkcited by 6
- 2022On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learningcited by 6
- 2024Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposalscited by 6
- 2023Bayesian Reinforcement Learning with Limited Cognitive Loadcited by 4
5 more
- 2022Have I done enough planning or should I plan more?cited by 2
- 2021A space of goals: the cognitive geometry of informationally bounded agentscited by 1
- 2021Emotions as abstract evaluation criteria in biological and artificial intelligencescited by 0
- 2025Objectifying the Subjective: Cognitive Biases in Topic Interpretationscited by 0
- 2026Structural Ranking of the Cognitive Plausibility of Computational Models of Analogy and Metaphors with the Minimal Cognitive Gridcited by 0
- 2026Structural Ranking of the Cognitive Plausibility of Computational Models of Analogy and Metaphors with the Minimal Cognitive Grid2 May 2026
- 2025Objectifying the Subjective: Cognitive Biases in Topic Interpretations25 Jul 2025
- 2025Levels of Analysis for Large Language Models17 Mar 2025
- 2025On Benchmarking Human-Like Intelligence in Machines27 Feb 2025
- 2025Large Language Models Are Human-Like Internally3 Feb 2025
- 2024Imagining and building wise machines: The centrality of AI metacognition4 Nov 2024
- 2024Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals23 Jul 2024
- 2023Lyfe Agents: Generative agents for low-cost real-time social interactions3 Oct 2023
- 2023Bayesian Reinforcement Learning with Limited Cognitive Load5 May 2023
- 2022Humans decompose tasks by trading off utility and computational cost7 Nov 2022
- 2022On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning30 Oct 2022
- 2022Language models show human-like content effects on reasoning tasks14 Jul 2022
5 more
- 2022Have I done enough planning or should I plan more?3 Jan 2022
- 2021Emotions as abstract evaluation criteria in biological and artificial intelligences30 Nov 2021
- 2021A space of goals: the cognitive geometry of informationally bounded agents5 Nov 2021
- 2021A practical introduction to the Rational Speech Act modeling framework20 May 2021
- 2021People construct simplified mental representations to plan14 May 2021
- 2021People construct simplified mental representations to plancited by 45
- 2025Large Language Models Are Human-Like Internallycited by 28
- 2025On Benchmarking Human-Like Intelligence in Machinescited by 24
- 2022Humans decompose tasks by trading off utility and computational costcited by 18
- 2024Imagining and building wise machines: The centrality of AI metacognitioncited by 12
- 2025Levels of Analysis for Large Language Modelscited by 9
- 2021A practical introduction to the Rational Speech Act modeling frameworkcited by 6
- 2022On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learningcited by 6
- 2024Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposalscited by 6
- 2023Bayesian Reinforcement Learning with Limited Cognitive Loadcited by 4
- 2022Have I done enough planning or should I plan more?cited by 2
- 2021A space of goals: the cognitive geometry of informationally bounded agentscited by 1
12 most cited of 15 All 15 (JSON)
- 2026Structural Ranking of the Cognitive Plausibility of Computational Models of Analogy and Metaphors with the Minimal Cognitive Grid2 May 2026
- 2025Objectifying the Subjective: Cognitive Biases in Topic Interpretations25 Jul 2025
- 2025Levels of Analysis for Large Language Models17 Mar 2025
- 2025On Benchmarking Human-Like Intelligence in Machines27 Feb 2025
- 2025Large Language Models Are Human-Like Internally3 Feb 2025
- 2024Imagining and building wise machines: The centrality of AI metacognition4 Nov 2024
- 2024Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals23 Jul 2024
- 2023Bayesian Reinforcement Learning with Limited Cognitive Load5 May 2023
- 2022Humans decompose tasks by trading off utility and computational cost7 Nov 2022
- 2022On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning30 Oct 2022
- 2022Have I done enough planning or should I plan more?3 Jan 2022
- 2021Emotions as abstract evaluation criteria in biological and artificial intelligences30 Nov 2021
12 newest of 15 All 15 (JSON)