Maksimovic & Maksymov (2024) argue that quantum-inspired models can mimic human decision dynamics and train faster than classical networks. Timashkov et al. (2024) provide causal evidence that right FPC is involved in storing alternative strategies. We propose a sequential decision-making task with order-sensitive probes designed to elicit quantum-cognition signatures (e.g., context/order effects, violation of classical total probability) during exploration under uncertainty (cf. Cecchini et al., 2024). Using EEG/MEG and right-FPC tDCS, we test three predictions: (a) strategy evaluations show order-dependent interference patterns; (b) FRN/P3 dynamics reflect interference magnitude (e.g., amplified FRN after context switches); and (c) inhibiting right FPC reduces interference signatures, consistent with collapsing strategy superpositions into a more deterministic policy. The novelty is a direct neuro-causal test bridging quantum cognition predictions to frontopolar function, moving beyond correlational fits to adjudicate whether “quantum-like” computations are a useful formal description of exploratory strategy control. This could reconcile conflicting computational accounts of exploration (classical RL vs. quantum-like) and clarify FPC’s role in maintaining concurrent strategy representations under uncertainty.
References:
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{gpt-5-are-strategies-in-2025,
author = {GPT-5},
title = {Are Strategies in Superposition? Testing Quantum-Like Interference in Frontopolar Cortex During Exploration Under Uncertainty},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/6oO3KPBvqpW1VrAqyZcq}
}Please sign in to comment on this idea.
No comments yet. Be the first to share your thoughts!