Amount Of Reward Research Articles

Does a Buyback Contract Coordinate a Reverse Supply Chain Facing Remanufacturing Capacity Disruption and Returned Product Quality Uncertainty?

This paper studies a two-echelon reverse supply chain (RSC) involving a remanufacturer and a collector, in which the collector receives the used products by paying a reward to consumers. The reward amount given to customers is crucial for encouraging them to exchange used products. An exchanged item is accepted if it meets the minimum acceptable quality level (AQL). Both the remanufacturing capacity and the quality of exchanged products present uncertainties. Under the buyback contract, the remanufacturer purchases used products at a higher price than in the decentralized and centralized cases from the collector. In return, the collector undertakes to repurchase a certain number of used products sold to the remanufacturer, but not remanufactured due to capacity shortages. Based on the aforementioned uncertainties, this study analyses channel coordination using buyback contracts and optimizes its parameters. By conducting a numerical analysis, we first ensure that under this contract, the risk of uncertainty is divided among the members, and that each party’s profit is higher than when decisions are made individually. Therefore, a buyback contract would guarantee a win-win situation for both of the parties, and coordination for the RSC. A range of percentages of extra items purchased by collectors is derived, as well as the amount the collector pays for each item and the effect of increasing or decreasing these values is examined.

Reduced seed set under water deficit is driven mainly by reduced flower numbers and not by changes in flower visitations and pollination

Abstract Water deficit can alter floral traits with cascading effects on flower‐visitor interactions and plant fitness. Water stress induction can diminish productivity, directly resulting in lower flower production and consequently seed set. Changes in floral traits, such as floral scent or reward amount, may in turn alter pollinator visitations and behaviour and consequently can reduce pollination services resulting in lower reproduction output. However, the relative contribution of this indirect in comparison to the direct effects to changes in seed set are not fully understood. We manipulated water availability using rain‐out shelters in a field experiment and measured effects on floral scent bouquet, morphology, phenology, flower‐visitor interactions, pollination and seed set. Plant individuals of Sinapis arvensis (Brassicaceae) were randomly assigned to one of three treatments: mean precipitation (=control), reduced mean precipitation or drought period treatment. Our results show that decreasing water availability lowers the number of flowers and seed set. This indicates a direct link between water stress and seed set, as seed mass increases with increasing flower number. The indirect link of water stress via floral traits, pollinator visits and pollination has weaker effects on seed set. However, floral traits remain relatively stable under decreased water availability, whereas plant growth and flower abundance decrease, potentially in order to allow investment in more resources in fewer flowers to maintain pollination success. Thus, plants are able to compensate for water stress and can maintain floral trait expression, such as a stable scent emission and bouquet, to retain pollinator attraction. These findings indicate that the direct link from water stress to seed set has a stronger impact on plants reproductive success than the indirect link through altered floral trait expression and pollinator visits in a generalist plant species. Read the free Plain Language Summary for this article on the Journal blog.

I Will Get a Reward, Too: When Disclosing the Referrer Reward Increases Referring

Incentivized customer referral programs (e.g., “Refer a friend, reward yourself!”) are prevalent, yet they usually have low referring rates. One reason, the authors suggest, is that existing customers (referrers) view incentivized referring as an exchange activity that feels incompatible with their communal relationship with friends (referees), resulting in a psychological barrier (i.e., negative feelings such as discomfort, conflict, guilt, etc.). In seven studies (five preregistered, two in the field; N = 2,060) and one preregistered supplemental study (N = 176), the authors propose and find that disclosing the referrer reward in the invitation message—a not yet widely adopted method—can promote referring by making the referring action seem more compatible with communal norms and reducing the experienced psychological barrier. They also document the potential of disclosing the referrer reward on increasing acceptance, conversion, and sales. The authors further identify three theoretically and practically relevant boundary conditions: (1) the relative reward amount (whether the referrer reward is greater than, equal to, or less than the referee reward), (2) the stated source of the referrer reward (the company or the referee's spending), and (3) the framing of the referral opportunity (whether it is already framed as a communal activity). The authors conclude by discussing the theoretical and practical implications.

Control preference persists with age.

The opportunity to exert control in one's environment is desirable, and individuals are willing to seek out control, even at a financial cost. Additionally, control-related activation of reward regions in the brain and the positive affect associated with the opportunity to exert control suggest that control is rewarding. The present study explores whether there are age-related differences in the preference for control. Older and younger adults chose whether to maintain control and play a guessing game themselves or to cede this control to the computer. Maintaining and ceding control were associated with different amounts of monetary reward that could be banked upon a successful guess. This required participants to weigh the value associated with control compared to monetary rewards. We found that older adults preferred control and traded monetary reward for control, similar to younger adults. The results suggest that the preference for exerting control may be preserved across age. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Reward salience but not spatial attention dominates the value representation in the orbitofrontal cortex

The orbitofrontal cortex (OFC) encodes value and plays a key role in value-based decision-making. However, the attentional modulation of the OFC’s value encoding is poorly understood. We trained two monkeys to detect a luminance change at a cued location between a pair of visual stimuli, which were over-trained pictures associated with different amounts of juice reward and, thus, different reward salience. Both the monkeys’ behavior and the dorsolateral prefrontal cortex neuronal activities indicated that the monkeys actively directed their spatial attention toward the cued stimulus during the task. However, the OFC’s neuronal responses were dominated by the stimulus with higher reward salience and encoded its value. The value of the less salient stimulus was only weakly represented regardless of spatial attention. The results demonstrate that reward and spatial attention are distinctly represented in the prefrontal cortex and the OFC maintains a stable representation of reward salience minimally affected by attention.

Seasonal variation in the response of a monoecious crop to increased temperature and fertilizers.

Climate warming may affect the performance of plants directly through altering vegetative or reproductive traits, and indirectly through modifying interactions with their pollinators. On the other hand, the addition of fertilizers to the soil may increase the quantity and quality of floral rewards, favoring the visitation of pollinators and, consequently, the reproductive success of plants. However, it is still unknown whether fertilizers may counteract the effects of increased temperature on the vegetative, floral, and reproductive traits of plants, as well as on the interaction with their pollinators. The aim of this study is to evaluate the effects of the input of organic and synthetic fertilizers on several vegetative and floral traits, and on the rate of legitimate floral visitors and reproductive success of the squash during two seasons, under a scenario of an increase in ambient temperature. During the dry and the rainy seasons, three vegetative, eleven floral, and two reproductive traits, as well as the duration of visits and visitation rate of legitimate floral visitors were evaluated in squash plants distributed into six treatments in a bifactorial design: temperature (ambient or elevated temperature) and fertilizer (organic, synthetic or without supplementary fertilizers). Contrary to our predictions, we found that an increase of ~1.5°C in ambient temperature, positively influenced several vegetative, floral, and reproductive traits in this crop, and that organic fertilizers, in general, was not better than synthetic fertilizers in improving those traits. Interestingly, the response of the squash and indirectly on their legitimate floral visitors to the increase of temperature and the input of fertilizers vary widely among seasons, suggesting great temporal variation in plant-pollinator responses to temperature and nutrient availability, which makes food security more unpredictable.

Effect of introducing virtual community and community group buying on customer's perceived value and loyalty behavior: A convenience store-based perspective.

Customers’ declining receptivity to conventional marketing tools has been a challenge for convenience stores. To overcome this, retailers are turning to social media as a new, potent marketing tool for creating business prospects and encouraging direct customer interaction. However, it is still unknown how social media marketing affects the shifts in customer behavior. This paper expands on the relationship of “loyalty program (LP) + virtual community experience → perceived value → customer loyalty” in the traditional convenience store scenario, refining the variables of virtual community experience, perceived value, and customer loyalty. It also compares the effectiveness of different LP design structures (reward amounts × reward time limits) and explores the mediation impact of program loyalty and the moderation effect of alternative attractiveness. The results demonstrate the superior performance of LPs with an expiry policy and differential returns and highlight the importance of enhancing members’ virtual community experiences in fostering customer perceived value and loyalty. The results also show the minor negative moderation impact of community group buying and prove that emotional value significantly impacts customer loyalty. Still, the social value does not affect program loyalty. The recommendations are offered, such as designing growing-oriented and periodical zeroing LPs, as well as using new social media marketing tools (virtual community-based marketing) to empower traditional marketing techniques (LP-based relationship marketing) and constructing a “convenience store + community group buying” model. The findings have substantial theoretical and practical implications for traditional convenience stores in properly implementing loyalty and social media marketing tactics to maximize customer value and loyalty with a limited budget.

Neuronal Response to Reward and Luminance in Macaque LIP During Saccadic Choice

Recent work in decision neuroscience suggests that visual saliency can interact with reward-based choice, and the lateral intraparietal cortex (LIP) is implicated in this process. In this study, we recorded from LIP neurons while monkeys performed a two alternative choice task in which the reward and luminance associated with each offer were varied independently. We discovered that the animal’s choice was dictated by the reward amount while the luminance had a marginal effect. In the LIP, neuronal activity corresponded well with the animal’s choice pattern, in that a majority of reward-modulated neurons encoded the reward amount in the neuron’s preferred hemifield with a positive slope. In contrast, compared to their responses to low luminance, an approximately equal proportion of luminance-sensitive neurons responded to high luminance with increased or decreased activity, leading to a much weaker population-level response. Meanwhile, in the non-preferred hemifield, the strength of encoding for reward amount and luminance was positively correlated, suggesting the integration of these two factors in the LIP. Moreover, neurons encoding reward and luminance were homogeneously distributed along the anterior-posterior axis of the LIP. Overall, our study provides further evidence supporting the neural instantiation of a priority map in the LIP in reward-based decisions.

A Method for Catastrophic Forgetting Prevention during Multitasking Reinforcement Learning

Reinforcement learning is based on a principle of an agent interacting with an environment in order to maximize the amount of reward. Reinforcement learning shows amazing results in solving various control problems. However, the attempts to train a multitasking agent suffer from the problem of so-called "catastrophic forgetting": the knowledge gained by the agent about one task is erased during developing the correct strategy to solve another task. One of the methods to fight catastrophic forgetting during multitask learning assumes storing previously encountered states in, the so-called, experience replay buffer. We developed the method allowing a student agent to exchange an experience with teacher agents using an experience replay buffer. The procedure of experience exchange allowed the student to behave effectively in several environments simultaneously. The experience exchange was based on knowledge distillation that allowed to reduce the off-policy reinforcement learning problem to the supervised learning task. We tested several combinations of loss functions and output transforming functions. Distillation of knowledge requires a massive experience replay buffer. Several solutions to the problems of optimizing the size of the experience replay buffer are suggested. The first approach is based on the use of a subset of the whole buffer; the second approach uses the autoencoder as a tool to convert states to the latent space. Although our methods can be applied to a wide range of problems, we use Atari games as a testing environment to demonstrate the methods.

Chemogenetic Disconnection between the Orbitofrontal Cortex and the Rostromedial Caudate Nucleus Disrupts Motivational Control of Goal-Directed Action.

The orbitofrontal cortex (OFC) and its major downstream target within the basal ganglia—the rostromedial caudate nucleus (rmCD)—are involved in reward-value processing and goal-directed behavior. However, a causal contribution of the pathway linking these two structures to goal-directed behavior has not been established. Using the chemogenetic technology of designer receptors exclusively activated by designer drugs with a crossed inactivation design, we functionally and reversibly disrupted interactions between the OFC and rmCD in two male macaque monkeys. We injected an adeno-associated virus vector expressing an inhibitory designer receptor, hM4Di, into the OFC and contralateral rmCD, the expression of which was visualized in vivo by positron emission tomography and confirmed by postmortem immunohistochemistry. Functional disconnection of the OFC and rmCD resulted in a significant and reproducible loss of sensitivity to the cued reward value for goal-directed action. This decreased sensitivity was most prominent when monkeys had accumulated a certain amount of reward. These results provide causal evidence that the interaction between the OFC and the rmCD is needed for motivational control of action on the basis of the relative reward value and internal drive. This finding extends the current understanding of the physiological basis of psychiatric disorders in which goal-directed behavior is affected, such as obsessive-compulsive disorder.SIGNIFICANCE STATEMENT In daily life, we routinely adjust the speed and accuracy of our actions on the basis of the value of expected reward. Abnormalities in these kinds of motivational adjustments might be related to behaviors seen in psychiatric disorders such as obsessive-compulsive disorder. In the current study, we show that the connection from the orbitofrontal cortex to the rostromedial caudate nucleus is essential for motivational control of action in monkeys. This finding expands our knowledge about how the primate brain controls motivation and behavior and provides a particular insight into disorders like obsessive-compulsive disorder in which altered connectivity between the orbitofrontal cortex and the striatum has been implicated.

Rewards and Fear of Being Labeled as Racist: A Tax Fraud Whistleblowing Investigation*

ABSTRACTThis article investigates experimentally, in the income tax context, how whistleblowing intentions are influenced when a tax fraud perpetrator is of a different race than a potential whistleblower. In particular, it examines the impact of a message highlighting the social value of whistleblowing and how fear of being perceived as racist influences whistleblowing decision‐making. Using insights from the fear elicitation and processing literature, we find that a potential whistleblower from a majority racial group who learns about a fraud perpetrated by someone from a minority racial group is significantly more likely to blow the whistle anonymously when a social value message is present versus absent, as the presence of a social value message reduces fear of being perceived as racist. However, we do not find that race dissimilarity is significantly associated with non‐anonymous whistleblowing intentions, irrespective of the presence of a social value message. Furthermore, in non‐anonymous whistleblowing situations, potential whistleblowers have to disclose their identities to the tax authority to become eligible for a cash reward. Even when potential whistleblowers can choose the amount of a cash reward they would have to be paid in order to blow the whistle, our results show that whistleblowing intentions do not increase significantly when perpetrators and potential whistleblowers are of different races. Overall, our results suggest that the societal value of tax whistleblowing and the use of cash rewards for whistleblowing are limited by other sociological considerations.

Programmatic Reward Design by Example

Reward design is a fundamental problem in reinforcement learning (RL). A misspecified or poorly designed reward can result in low sample efficiency and undesired behaviors. In this paper, we propose the idea of programmatic reward design, i.e. using programs to specify the reward functions in RL environments. Programs allow human engineers to express sub-goals and complex task scenarios in a structured and interpretable way. The challenge of programmatic reward design, however, is that while humans can provide the high-level structures, properly setting the low-level details, such as the right amount of reward for a specific sub-task, remains difficult. A major contribution of this paper is a probabilistic framework that can infer the best candidate programmatic reward function from expert demonstrations. Inspired by recent generative-adversarial approaches, our framework searches for themost likely programmatic reward function under whichthe optimally generated trajectories cannot be differen-tiated from the demonstrated trajectories. Experimental results show that programmatic reward functions learned using this framework can significantly outperform those learned using existing reward learning algorithms, and enable RL agents to achieve state-of-the-art performance on highly complex tasks.

An investigation on the olfactory capabilities of domestic dogs (Canis lupus familiaris).

The extraordinary olfactory capabilities in detection and rescue dogs are well-known. However, the olfactory performance varies by breed and search environment (Jezierski etal. in Forensic Sci Int 237:112-118, 2014), as well as by the quantity of training (Horowitz etal. in Learn Motivation 44(4):207-217, 2013). While detection of an olfactory cue inherently demands a judgment regarding the presence or absence of a cue at a given location, olfactory discrimination requires an assessment of quantity, a task demanding more attention and, hence, decreasing reliability as an informational source (Horowitz etal. 2013). This study aims at gaining more clarity on detection and discrimination of olfactory cues in untrained dogs and in a variety of dog breeds. Using a two-alternative forced choice (2AFC) paradigm, we assessed olfactory detection scores by presenting a varied quantity of food reward under one or the other hidden cup, and discrimination scores by presenting two varied quantities of food reward under both hidden cups. We found relatively reliable detection performances across all breeds and limited discrimination abilities, modulated by breed. We discuss our findings in relation to the cognitive demands imposed by the tasks and the cephalic index of the dog breeds.

Branching time active inference: Empirical study and complexity class analysis

Active inference is a state-of-the-art framework for modelling the brain that explains a wide range of mechanisms such as habit formation, dopaminergic discharge and curiosity. However, recent implementations suffer from an exponential (space and time) complexity class when computing the prior over all the possible policies up to the time horizon. Fountas et al. (2020) used Monte Carlo tree search to address this problem, leading to very good results in two different tasks. Additionally, Champion et al. (2021a) proposed a tree search approach based on (temporal) structure learning. This was enabled by the development of a variational message passing approach to active inference (Champion, Bowman, Grześ, 2021), which enables compositional construction of Bayesian networks for active inference. However, this message passing tree search approach, which we call branching-time active inference (BTAI), has never been tested empirically. In this paper, we present an experimental study of the approach (Champion, Grześ, Bowman, 2021) in the context of a maze solving agent. In this context, we show that both improved prior preferences and deeper search help mitigate the vulnerability to local minima. Then, we compare BTAI to standard active inference (AcI) on a graph navigation task. We show that for small graphs, both BTAI and AcI successfully solve the task. For larger graphs, AcI exhibits an exponential (space) complexity class, making the approach intractable. However, BTAI explores the space of policies more efficiently, successfully scaling to larger graphs. Then, BTAI was compared to the POMCP algorithm (Silver and Veness, 2010) on the frozen lake environment. The experiments suggest that BTAI and the POMCP algorithm accumulate a similar amount of reward. Also, we describe when BTAI receives more rewards than the POMCP agent, and when the opposite is true. Finally, we compared BTAI to the approach of Fountas et al. (2020) on the dSprites dataset, and we discussed the pros and cons of each approach.

Stronger attentional biases can be linked to higher reward rate in preferential choice

When attention is biased to a particular option during information search preceding preferential choice, this option is often more likely to be chosen—even if its value is objectively lower than that of the alternative. This article demonstrates that although attentional biases—even to lower-valued options—may reduce accuracy (the tendency to choose the highest-valued option), they can increase reward rate (the amount of reward obtained per unit of time invested in the choice). To achieve a higher reward rate it is often preferable to choose a lower-valued option quickly rather than spend time trying to identify the highest-valued option. Attentional biases are typically associated with faster choices, and in terms of reward rate, this reduction in response time can often compensate for the accompanying decrease in accuracy. This relationship between attention, response time, and reward rate is modulated by features of the choice environment and by individual differences in choice boundaries and in the attentional amplification of evidence accumulation. These patterns are predicted theoretically by the attentional drift diffusion model (aDDM). A reanalysis of empirical data from several eye-tracking studies shows that these predicted patterns also hold empirically across various domains of preferential choice (riskless and risky choice, options of monetary rewards and of food items). It may therefore often be beneficial for decision makers to allocate their attention in a biased manner—that is, to deliberately ignore information on some options—in order to reduce the time cost of choice and thereby achieve a higher reward rate.

Discrete choice experiment to investigate preferences for incentives to promote antimicrobial research and development

Without intervention, experts predict that antimicrobial resistance will rank among leading drivers of mortality by 2050. New drugs are desperately needed, but given the lengthy development timelines for antimicrobial research and development (R&D), existing economic incentives fail to support a robust pipeline of new products. This study aims to elicit the preferences of stakeholders for adequate antimicrobial R&D incentive programs. A discrete choice experiment was conducted in which stakeholders (representatives from small or medium and large pharmaceutical companies, academics, clinicians, and policy makers) were asked in 12 choice tasks to select their preferred incentive combinations among two hypothetical options, differing in five attributes: form of monetary incentive, total amount of monetary incentive, market exclusivity extensions, transferable exclusivity extensions vouchers, and priority review vouchers. A subgroup analysis comprising only participants from the pharmaceutical industry was also conducted. A total of 50 stakeholders (including 24 from the pharmaceutical industry) completed the survey in full. Participants preferred longer transferable exclusivity extensions and larger amounts of monetary rewards. The levels that were perceived as having the highest utility were $1 billion as total amount of incentives and transferable exclusivity extension for 18 months. The subgroup analysis provided similar findings. This study suggests that survey participants viewed transferable exclusivity vouchers for an 18-mo term and higher ($1 billion) monetary rewards as the preferred incentives to promote antimicrobial R&D. Further work is needed to design specific incentives and ensure they are implemented effectively.

Neurons in the Monkey's Subthalamic Nucleus Differentially Encode Motivation and Effort.

The understanding of the electrophysiological properties of the subthalamic nucleus (STN) neurons is crucial since it represents the main target of deep brain stimulation for the treatment of Parkinson's disease and obsessive-compulsive disorders. The study of its nonmotor properties could shed light on the cognitive and motivational alterations possibly encountered after stimulation. In this study, we recorded the activity of STN neurons in two male behaving monkeys (Macaca mulatta) while they performed a visuomotor motivational task in which visual cues indicated which amount of force was required to obtain which amount of reward. Our results evidenced force- and reward-modulated neurons. After the occurrence of the visual stimuli, the force-modulated neurons mainly fired when a high effort was required. Differently, the activity of the population of reward-modulated neurons encoded the motivational value of the stimuli. This population consisted of neurons increasing or decreasing their activity according to the motivational ranking of the task conditions. Both populations could play complementary roles, one in the implementation of the difficulty of the action and the other in enhancing or slowing its execution based on the subjective value of each condition.SIGNIFICANCE STATEMENT An increasing number of studies confers a role to the subthalamic nucleus (STN) in motivational and reward-related processes. However, the electrophysiological bases of such properties at the neuronal level remain unclear. The present study investigated the modulation of STN neuronal activity in monkeys performing a motivational task in which the force to produce and the reward obtained were manipulated. We found two main populations of neurons, one modulated by the effort required and the other integrating the motivational subjective value of the stimuli. This last population could help at improving decision-making to act or not, depending on the subjective value set by the motivational context. This highlights the pivotal role of STN in the valuation of cost/benefit for decision-making processes.

Detecting Physiological Needs Using Deep Inverse Reinforcement Learning

ABSTRACT Smart health-care assistants are designed to improve the comfort of the patient where smart refers to the ability to imitate the human intelligence to facilitate his life without, or with limited, human intervention. As a part of this, we are proposing a new Intelligent Communication Assistant capable of detecting physiological needs by following a new efficient Inverse Reinforcement learning algorithm designed to be able to deal with new time-recorded states. The latter processes the patient’s environment data, learns from the patient previous choices and becomes capable of suggesting the right action at the right time. In this paper, we took the case study of Locked-in Syndrome patients, studied their actual communication methods and tried to enhance the existing solutions by adding an intelligent layer. We showed that by using Deep Inverse Reinforcement Learning using Maximum Entropy, we can learn how to regress the reward amount of new states from the ambient environment recorded states. After that, we can suggest the highly rewarded need to the target patient. Also, we proposed a full architecture of the system by describing the pipeline of the information from the ambient environment to the different actors.

Flower Color as Predictor for Nectar Reward Quantity in an Alpine Flower Community

Entomophilous plants have evolved colorful floral displays to attract flower visitors to achieve pollination. Although many insects possess innate preferences for certain colors, the underlying proximate and ultimate causes for this behavior are still not well understood. It has been hypothesized that the floral rewards, e.g., sugar content, of plants belonging to a particular color category correlate with the preference of the flower visitors. However, this hypothesis has been tested only for a subset of plant communities worldwide. Bumble bees are the most important pollinators in alpine environments and show a strong innate preference for (bee) “UV-blue” and “blue” colors. We surveyed plants visited by bumble bees in the subalpine and alpine zones (>1,400 m a.s.l.) of the Austrian Alps and measured nectar reward and spectral reflectance of the flowers. We found that the majority of the 105 plant samples visited by bumble bees fall into the color categories “blue” and “blue-green” of a bee-specific color space. Our study shows that color category is only a weak indicator for nectar reward quantity; and due to the high reward variance within and between categories, we do not consider floral color as a reliable signal for bumble bees in the surveyed habitat. Nevertheless, since mean floral reward quantity differs between categories, naïve bumble bees may benefit from visiting flowers that fall into the innately preferred color category during their first foraging flights.

Increased cost of cognitive effort in preclinical Alzheimer’s disease

AbstractBackgroundScores on neuropsychological tests depend on willingness to expend the necessary cognitive effort to complete each task. Group differences on cognitive test scores may partially reflect differences in perceived cognitive cost, or the willingness to exert cognitive effort, which will obscure estimates of “true” cognitive ability. It is critical, therefore, to obtain estimates of cognitive effort during neuropsychological testing. Subjective, questionnaire‐based measures of effort are prone to self‐report bias, so we administered an objective measure of cognitive effort (Cognitive Effort Discounting: COGED) to participants at the Knight ADRC. In COGED, participants complete increasingly difficult levels of a working memory task (the N‐Back) and then are asked to rate which “level” they would complete again for a given amount of monetary reward. We hypothesized that objective (COGED) but not subjective measures of effort would decrease in preclinical AD and this would be related to cognitive performance.MethodSixty‐five healthy older adults (Clinical Dementia Rating = 0) completed both the COGED task and a subjective effort rating scale (the NASA task load index). Participants were classified as amyloid‐positive (N=24) or negative (N=41) based either on amyloid PET scan or CSF Ab42/Ab40 ratio. Group differences on the effort task were analyzed using linear regression.ResultEffort ratings decreased across levels of N‐back (p<0.001), indicating the task accurately tracks perceived effort. As expected, amyloid‐positive participants scored lower on the N‐back task (p=.03) but more importantly, they also scored lower on COGED than the amyloid‐negative group (Figure 1, p=0.05), after controlling for age, education and working memory. There were no group differences on the NASA (Figure 2). Surprisingly, neither COGED scores nor the NASA were related to performance on the N‐back, suggesting that effort ratings are independent of task performance.ConclusionWe successfully adapted the COGED paradigm for remote assessment and administered the task to a group of healthy older adults from the Knight ADRC. This task accurately reflects effort / reward processing. Objective (but not subjective) measures of the ability to make these computations decline in preclinical AD but does not appear to affect concurrent cognitive assessments.