Bridging the gap between subjective probability and probability judgments: The quantum sequential sampler.

One of the most important challenges in decision theory has been how to reconcile the normative expectations from Bayesian theory with the apparent fallacies that are common in probabilistic reasoning. Recently, Bayesian models have been driven by the insight that apparent fallacies are due to sampling errors or biases in estimating (Bayesian) probabilities. An alternative way to explain apparent fallacies is by invoking different probability rules, specifically the probability rules from quantum theory.

Can we change automatic processes: the influence of social priming on alcohol attentional bias.

The Stroop Effect has been linked to social concept priming, suggesting that the latter may trigger automatic behaviour aligned with the primed concept. This study examined the effects of social priming on alcohol attentional bias, with a sample of mostly light drinkers; it used a social priming task and an alcohol-Stroop test to measure participants' response times (RTs) before and after they had been socially primed. Participants were separated into one of three social priming conditions: Neutral, Alcohol Addiction, and Alcohol Preoccupation.

Winning a CHSH Game without Entangled Particles in a Finite Number of Biased Rounds: How Much Luck Is Needed?

Quantum games, such as the CHSH game, are used to illustrate the puzzle and power of entanglement. These games are played over many rounds and in each round, the participants, Alice and Bob, each receive a question bit to which they each have to give an answer bit, without being able to communicate during the game. When all possible classical answering strategies are analyzed, it is found that Alice and Bob cannot win more than 75% of the rounds.

Quantum Circuit Components for Cognitive Decision-Making.

This paper demonstrates that some non-classical models of human decision-making can be run successfully as circuits on quantum computers. Since the 1960s, many observed cognitive behaviors have been shown to violate rules based on classical probability and set theory. For example, the order in which questions are posed in a survey affects whether participants answer 'yes' or 'no', so the population that answers 'yes' to both questions cannot be modeled as the intersection of two fixed sets.

Temporal Bell inequalities in cognition.

There is widespread evidence that human memory is constructive, so that recollective processes may alter the information retrieved or impact on subsequent recollections. We examine a framework for narrowing down the nature of such processes, from physics. In Physics, the Temporal Bell (TB) inequality offers a general test of the sensitivity of the context of previous measurements in sequential measurement scenarios, as predicted by quantum theory.

A Quantum Geometric Framework for Modeling Color Similarity Judgments.

Since Tversky argued that similarity judgments violate the three metric axioms, asymmetrical similarity judgments have been particularly challenging for standard, geometric models of similarity, such as multidimensional scaling. According to Tversky, asymmetrical similarity judgments are driven by differences in salience or extent of knowledge. However, the notion of salience has been difficult to operationalize, especially for perceptual stimuli for which there are no apparent differences in extent of knowledge.

Trust during COVID-19: Which factors matter most?

The objective of this experiment was to offer a preliminary exploration into the key factors underlying trust in healthcare systems around the world, in light of the COVID-19 global pandemic. Participants were recruited across ten countries and were asked to complete a two-part questionnaire, in which they rated their country's healthcare system on a scale from 1-5, according to ten trust-related factors, translated specifically to pertain to healthcare, and 4 key pillars of trust: benevolence, reliability, competence and predictability. Correlation analyses between these two separate measures revealed that honesty, consistency, and reasonableness were the most impactful factors underlying trust across the entire population.

Quantifying and Interpreting Connection Strength in Macro- and Microscopic Systems: Lessons from Bell's Approach.

Bell inequalities were created with the goal of improving the understanding of foundational questions in quantum mechanics. To this end, they are typically applied to measurement results generated from entangled systems of particles. They can, however, also be used as a statistical tool for macroscopic systems, where they can describe the connection strength between two components of a system under a causal model.

Ambivalence in decision making: An eye tracking study.

An intuition of ambivalence in cognition is particularly strong for complex decisions, for which the merits and demerits of different options are roughly equal but hard to compare. We examined information search in an experimental paradigm which tasked participants with an ambivalent question, while monitoring attentional dynamics concerning the information relevant to each option in different Areas of Interest (AOIs). We developed two dynamical models for describing eye tracking curves, for each response separately.

Rethinking Rationality.

We seek to understand rational decision making and if it exists whether finite (bounded) agents may be able to achieve its principles. This aim has been a singular objective throughout much of human science and philosophy, with early discussions identified since antiquity. More recently, there has been a thriving debate based on differing perspectives on rationality, including adaptive heuristics, Bayesian theory, quantum theory, resource rationality, and probabilistic language of thought.

Quantum Cognition.

Uncertainty is an intrinsic part of life; most events, affairs, and questions are uncertain. A key problem in behavioral sciences is how the mind copes with uncertain information. Quantum probability theory offers a set of principles for inference, which align well with intuition about psychological processes in certain cases: cases when it appears that inference is contextual, the mental state changes as a result of previous judgments, or there is interference between different possibilities.

Context effects in similarity judgments.

Tversky's (1977) famous demonstration of a diagnosticity effect indicates that the similarity between the same two stimuli depends on the presence of contextual stimuli. In a forced choice task, the similarity between a target and a choice, appears to depend on the other choices. Specifically, introducing a distractor grouped with one of the options would reduce preference for the grouped option.

How healthcare structures and communication delivery influence trust: a parallel-group randomized controlled trial.

Background: According to recent polling, public trust in the healthcare sector remains low relative to other industries globally. The implications of low healthcare trust permeate throughout the industry in a number of ways, most visibly by discouraging therapy compliance.

Methods: This study investigated four putative determinants of trust in healthcare-related scenarios: individuals vs.

Constructive Biases in Clinical Judgment.

With a pair of oppositely valenced stimuli, rating the first one sometimes leads to a more extreme evaluation for the second (e.g., if the second is negatively valenced, rating the first stimulus would lead to a more negative rating for the second).

Violations of locality and free choice are equivalent resources in Bell experiments.

Bell inequalities rest on three fundamental assumptions: realism, locality, and free choice, which lead to nontrivial constraints on correlations in very simple experiments. If we retain realism, then violation of the inequalities implies that at least one of the remaining two assumptions must fail, which can have profound consequences for the causal explanation of the experiment. We investigate the extent to which a given assumption needs to be relaxed for the other to hold at all costs, based on the observation that a violation need not occur on every experimental trial, even when describing correlations violating Bell inequalities.

Top-down and bottom-up attentional biases for smoking-related stimuli: Comparing dependent and non-dependent smokers.

Introduction: Substance use causes attentional biases for substance-related stimuli. Both bottom-up (preferential processing) and top-down (inhibitory control) processes are involved in attentional biases. We explored these aspects of attentional bias by using dependent and non-dependent cigarette smokers in order to see whether these two groups would differ in terms of general inhibitory control, bottom-up attentional bias, and top-down attentional biases.

Information overload for (bounded) rational agents.

Bayesian inference offers an optimal means of processing environmental information and so an advantage in natural selection. We consider the apparent, recent trend in increasing dysfunctional disagreement in, for example, political debate. This is puzzling because Bayesian inference benefits from powerful convergence theorems, precluding dysfunctional disagreement.

What are the appropriate axioms of rationality for reasoning under uncertainty with resource-constrained systems?

When constrained by limited resources, how do we choose axioms of rationality? The target article relies on Bayesian reasoning that encounter serious tractability problems. We propose another axiomatic foundation: quantum probability theory, which provides for less complex and more comprehensive descriptions. More generally, defining rationality in terms of axiomatic systems misses a key issue: rationality must be defined by humans facing vague information.

Perspectives on Correctness in Probabilistic Inference from Psychology.

Research into decision making has enabled us to appreciate that the notion of correctness is multifaceted. Different normative framework for correctness can lead to different insights about correct behavior. We illustrate the shifts for correctness insights with two tasks, the Wason selection task and the conjunction fallacy task; these tasks have had key roles in the development of logical reasoning and decision making research respectively.

An online cognitive bias task: the Rough Estimation Task using Qualtrics.

Measurement of cognitive bias typically relies on laboratory-based tasks. In order for cognitive bias measures to be useful outside of laboratory settings, a simple measure is required which does not rely on precise measurement tools, for example, precise reaction time measurement (which can be done only with specialized software typically running through either dedicated hardware or specifically configured computers). The Rough Estimation Task is a simple reading task which has been previously shown to be an effective measure of alcohol-related cognitive bias.

Corrigendum: Is There a Conjunction Fallacy in Legal Probabilistic Decision Making?

[This corrects the article DOI: 10.3389/fpsyg.2018.

Quantum probability in decision making from quantum information representation of neuronal states.

The recent wave of interest to modeling the process of decision making with the aid of the quantum formalism gives rise to the following question: 'How can neurons generate quantum-like statistical data?' (There is a plenty of such data in cognitive psychology and social science). Our model is based on quantum-like representation of uncertainty in generation of action potentials. This uncertainty is a consequence of complexity of electrochemical processes in the brain; in particular, uncertainty of triggering an action potential by the membrane potential.

Substance usage intention does not affect attentional bias: implications from Ecstasy/MDMA users and alcohol drinkers.

Background: An attentional bias towards substance-related stimuli has been demonstrated with alcohol drinkers and many other types of substance user. There is evidence to suggest that the strength of an attentional bias may vary as a result of context (or use intention), especially within Ecstasy/MDMA users.

Objective: Our aim was to empirically investigate attentional biases by observing the affect that use intention plays in recreational MDMA users and compare the findings with that of alcohol users.

State Entropy and Differentiation Phenomenon.

In the formalism of quantum theory, a state of a system is represented by a . Mathematically, a density operator can be decomposed into a weighted sum of (projection) operators representing an ensemble of pure states (a state distribution), but such decomposition is not unique. Various pure states distributions are mathematically described by the same density operator.

Understanding developmental language disorder - the Helsinki longitudinal SLI study (HelSLI): a study protocol.

Background: Developmental language disorder (DLD, also called specific language impairment, SLI) is a common developmental disorder comprising the largest disability group in pre-school-aged children. Approximately 7% of the population is expected to have developmental language difficulties. However, the specific etiological factors leading to DLD are not yet known and even the typical linguistic features appear to vary by language.