Decision-Making and Behavioral Economics

How does explicit reliability guide choices? Effect of trustworthiness on choice and metacognition

The paper investigates how people use explicit reliability markers in decision-making and find they overestimate source reliability and are influenced by unreliable sources.

Deterministic dynamics of distributional multi-agent reinforcement learning

This paper develops a computational framework for distributional multi-agent reinforcement learning, showing how optimism, reward discretization, and temporal discounting interact to shape decision-making.

Rapid Changes in Risk Attitudes Originate from Bayesian Inference on Parietal Magnitude Representations

The paper shows that rapid changes in risk attitudes arise from Bayesian inference on noisy magnitude representations in the parietal cortex, using fMRI and computational modeling.

Trial-by-trial fluctuations in decision criterion shape confidence

The paper shows that trial-by-trial changes in decision criteria affect confidence in human decision-making across multiple datasets and measures.

Neural similarity between choice options predicts group-level context effects

The paper predicts group-level context effects in choices using neural similarity between options, outperforming traditional methods that rely on explicit attributes.

Behavioral Signatures of Post-Decisional Attention in Preferential Choice

This study reanalyzes food-choice datasets to test models of attention's role in decision-making, finding no support for multiplicative effects and proposing an alternative model that better explains gaze behavior.

Stochastic choice drives variability in patch foraging decisions in humans and rats

This study shows stochastic choice explains variability in patch foraging decisions in humans and rats, making leaving variability independent of environmental rewards and using suboptimal internal reward rate estimates.

The Effect of Cognitive Load and Default Nudges on Decision-Making: Experimental Evidence from a Behavioural Study

This study examines how cognitive load and default nudges affect professional scepticism in auditing decisions, finding that aligned defaults improve accuracy under load while misaligned defaults reduce it.

Accumulation of virtual tokens towards a jackpot reward enhances performance and value encoding in dorsal anterior cingulate cortex

This study shows that accumulating tokens toward a jackpot reward improves decision-making accuracy and speed in macaques, with neural activity in dACC reflecting reference-dependent value encoding.

Choice-induced preference change under a sequential-sampling model framework

This paper extends the drift-diffusion model to account for choice-induced preference change by incorporating attribute variability during decision-making.

A Novel Approach-Avoidance Task to Study Decision Making Under Outcome Uncertainty

This paper introduces a novel task to study decision-making under outcome uncertainty and uses computational models to analyze how people balance approach and avoidance behaviors.

The Rational Irrational: Better Learners Show Stronger Frequency Heuristics

The study finds that better learners exhibit stronger frequency-based biases in decision-making under reward frequency manipulations, suggesting frequency effects may be adaptive strategies rather than flaws.

Perceptual Decoys Do Not Reliably Bias Choice: Boundary-Condition Evidence

This study tests if a perceptual decoy effect generalizes to humans but finds no reliable effect, with some accuracy improvements and response time differences.

Environmental dynamics impact whether matching is optimal

The paper analyzes how environmental dynamics affect the optimality of matching behavior in foraging scenarios.

Blaming Luck, Claiming Skill: Self-Attribution Bias in Error Assignment

The paper investigates self-attribution bias in error assignment using a visuomotor task, finding that participants credit successes to skill and blame failures on luck, influenced by distorted self-perception and positivity bias.

Rats pursue food and leisure following the same rational principles

This study shows rats balance food and leisure by adjusting their time allocation based on switching costs, following rational decision-making principles similar to foraging models.

Policy shaping based on the learned preferences of others accounts for risky decision-making under social observation

The paper investigates how observing others' choices affects decision-making, finding that individuals simulate others' preferences and adjust their decisions accordingly, with neural correlates in the TPJ and dmPFC.

Change-of-mind neuroeconomic decision-making is modulated by LINC00473 in medial prefrontal cortex in a sex-dependent manner

This study shows LINC00473 in mPFC modulates sex-dependent change-of-mind behavior in mice by affecting value caching and mistake weighting in a neuroeconomic task.

Humans adapt rationally to approximate estimates of uncertainty

This study shows humans adapt to volatility but not noise, with imprecise noise estimates leading to misattribution as volatility.

Cognitive Computational Model Reveals Repetition Bias in a Sequential Decision-Making Task

The paper presents a computational model showing repetition bias in human sequential decision-making, finding that choice frequency influences decisions alongside reward seeking.

Computational basis of hierarchical and counterfactual information processing

This study investigates how humans solve complex decision problems by combining hierarchical and counterfactual reasoning, finding that these strategies are computationally rational under specific constraints.

Belief updating in decision-variable space: past decisions with finer granularity attract future ones more strongly

The paper presents psychophysical experiments and a Bayesian model showing that past decisions with finer granularity have a stronger influence on future decisions.

Overt visual attention and value computation in complex risky choice

This study investigates decision-making under uncertainty by measuring overt attention and comparing models to predict choices in simple and complex tasks.

Early versus late noise differentially enhances or degrades context-dependent choice

The paper investigates how early versus late noise affects context-dependent choice behavior in decision-making, showing opposing effects on choice accuracy.

C. elegans food choice exhibits effort discounting-like behavior

This study shows that C. elegans exhibits behavior similar to effort discounting, where worms devalue harder-to-consume food options, mirroring economic models of cost-benefit decisions.

The value of initiating a pursuit in temporal decision-making

This paper derives expressions for reward-rate maximization in temporal decision-making and identifies the Malapportionment Hypothesis as a driver of suboptimal behavior.

Modeling Decision-Making Under Uncertainty with Qualitative Outcomes

The paper models decision-making under uncertainty with qualitative outcomes, showing that quantitative measures can be extracted from qualitative choices and that uncertainty attitudes vary across domains.

Diabetes alters neuroeconomically dissociable forms of mental accounting

This study examines how diabetes affects decision-making behaviors in mice using a neuroeconomic foraging paradigm, revealing altered valuation strategies and cognitive heuristics.

Multifaceted confidence in exploratory choice

The paper investigates confidence in exploratory choices and finds no difference in confidence between immediate and total reward in a bandit task, contradicting predictions.

Exploring the bounded rationality in human decision anomalies through an assemblable computational framework

The paper develops a computational framework to explain decision anomalies through bounded rationality, showing it outperforms existing models in fitting human behavior.