The Experts below are selected from a list of 894273 Experts worldwide ranked by ideXlab platform

Josee L Jarry - One of the best experts on this subject based on the ideXlab platform.

  • suggesting childhood food illness results in reduced eating Behavior
    Acta Psychologica, 2008
    Co-Authors: Alan Scoboria, Giuliana Mazzoni, Josee L Jarry
    Abstract:

    Previous studies have shown that suggesting childhood events can influence current self-reported attitudes towards future Behavior. This study shows that suggesting a false past event (i.e. becoming sick on a specific food during childhood) can modify Present Behavior (i.e. reduce eating of the food). Participants screened to be normal eaters received or did not receive a suggestion that they likely became sick on spoiled peach yogurt as a child. One week later they took part in an allegedly separate marketing taste-test study, during which they rated preferences for a variety of crackers and yogurts. After completing ratings, participants were invited to freely eat the remaining food while completing questionnaires. Results revealed that the participants receiving the suggestion expressed lower preference specifically for peach yogurt, and ate less yogurt of all the types, while not differing in eating of crackers. These results demonstrate that suggesting false past events influences subsequent Behavior.

Alan Scoboria - One of the best experts on this subject based on the ideXlab platform.

  • suggesting childhood food illness results in reduced eating Behavior
    Acta Psychologica, 2008
    Co-Authors: Alan Scoboria, Giuliana Mazzoni, Josee L Jarry
    Abstract:

    Previous studies have shown that suggesting childhood events can influence current self-reported attitudes towards future Behavior. This study shows that suggesting a false past event (i.e. becoming sick on a specific food during childhood) can modify Present Behavior (i.e. reduce eating of the food). Participants screened to be normal eaters received or did not receive a suggestion that they likely became sick on spoiled peach yogurt as a child. One week later they took part in an allegedly separate marketing taste-test study, during which they rated preferences for a variety of crackers and yogurts. After completing ratings, participants were invited to freely eat the remaining food while completing questionnaires. Results revealed that the participants receiving the suggestion expressed lower preference specifically for peach yogurt, and ate less yogurt of all the types, while not differing in eating of crackers. These results demonstrate that suggesting false past events influences subsequent Behavior.

Jianlei Zhang - One of the best experts on this subject based on the ideXlab platform.

  • changing the intensity of interaction based on individual Behavior in the iterated prisoner s dilemma game
    IEEE Transactions on Evolutionary Computation, 2017
    Co-Authors: Chunyan Zhang, Qinglin Sun, Zengqiang Chen, Jianlei Zhang
    Abstract:

    We Present a model of changing the intensity of interaction based on the individual Behavior to study the iterated prisoner’s dilemma game in social networks. In this model, each individual has an assessed score of reputation which is obtained by considering the evaluation level of interactive partners for its Present Behavior. We focus on the effect of evaluation level on the changing intensity of interaction between individuals. For an individual with good Behavior, the higher the evaluation level of its partners for its good Behavior, the better its reputation, and the higher the probability of surrounding partners interaction with it. On the contrary, for an individual with bad Behavior, the lower the evaluation level of its partners for its bad Behavior, the worse its reputation, and the less the probability of surrounding neighbors interaction with it. Simulation results show that this effective mechanism can drastically facilitate the emergence and maintenance of cooperation in the population under a treacherous chip. Interestingly, for a small or moderate treacherous chip, the cooperation level monotonously ascends as the evaluation level increases; however, for a higher treacherous chip, existing an optimal evaluation level, which can result in the best promotion of cooperation. Furthermore, we find better agreement between simulation results and theoretical predictions obtained from an extended pair-approximation method, although there are some tiny deviations. We also show some typical snapshots of the system and investigate the reason for appearance and persistence of cooperation. The results further show the importance of evaluation level of individual Behavior in coevolutionary relationships.

Giuliana Mazzoni - One of the best experts on this subject based on the ideXlab platform.

  • suggesting childhood food illness results in reduced eating Behavior
    Acta Psychologica, 2008
    Co-Authors: Alan Scoboria, Giuliana Mazzoni, Josee L Jarry
    Abstract:

    Previous studies have shown that suggesting childhood events can influence current self-reported attitudes towards future Behavior. This study shows that suggesting a false past event (i.e. becoming sick on a specific food during childhood) can modify Present Behavior (i.e. reduce eating of the food). Participants screened to be normal eaters received or did not receive a suggestion that they likely became sick on spoiled peach yogurt as a child. One week later they took part in an allegedly separate marketing taste-test study, during which they rated preferences for a variety of crackers and yogurts. After completing ratings, participants were invited to freely eat the remaining food while completing questionnaires. Results revealed that the participants receiving the suggestion expressed lower preference specifically for peach yogurt, and ate less yogurt of all the types, while not differing in eating of crackers. These results demonstrate that suggesting false past events influences subsequent Behavior.

Chunyan Zhang - One of the best experts on this subject based on the ideXlab platform.

  • changing the intensity of interaction based on individual Behavior in the iterated prisoner s dilemma game
    IEEE Transactions on Evolutionary Computation, 2017
    Co-Authors: Chunyan Zhang, Qinglin Sun, Zengqiang Chen, Jianlei Zhang
    Abstract:

    We Present a model of changing the intensity of interaction based on the individual Behavior to study the iterated prisoner’s dilemma game in social networks. In this model, each individual has an assessed score of reputation which is obtained by considering the evaluation level of interactive partners for its Present Behavior. We focus on the effect of evaluation level on the changing intensity of interaction between individuals. For an individual with good Behavior, the higher the evaluation level of its partners for its good Behavior, the better its reputation, and the higher the probability of surrounding partners interaction with it. On the contrary, for an individual with bad Behavior, the lower the evaluation level of its partners for its bad Behavior, the worse its reputation, and the less the probability of surrounding neighbors interaction with it. Simulation results show that this effective mechanism can drastically facilitate the emergence and maintenance of cooperation in the population under a treacherous chip. Interestingly, for a small or moderate treacherous chip, the cooperation level monotonously ascends as the evaluation level increases; however, for a higher treacherous chip, existing an optimal evaluation level, which can result in the best promotion of cooperation. Furthermore, we find better agreement between simulation results and theoretical predictions obtained from an extended pair-approximation method, although there are some tiny deviations. We also show some typical snapshots of the system and investigate the reason for appearance and persistence of cooperation. The results further show the importance of evaluation level of individual Behavior in coevolutionary relationships.