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  1.  34
    Simultaneous over- and underconfidence: The role of error in judgment processes.Ido Erev, Thomas S. Wallsten & David V. Budescu - 1994 - Psychological Review 101 (3):519-527.
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  2.  32
    On Adaptation, Maximization, and Reinforcement Learning Among Cognitive Strategies.Ido Erev & Greg Barron - 2005 - Psychological Review 112 (4):912-931.
  3.  11
    From anomalies to forecasts: Toward a descriptive model of decisions under risk, under ambiguity, and from experience.Ido Erev, Eyal Ert, Ori Plonsky, Doron Cohen & Oded Cohen - 2017 - Psychological Review 124 (4):369-409.
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  4.  29
    Reliance on small samples, the wavy recency effect, and similarity-based learning.Ori Plonsky, Kinneret Teodorescu & Ido Erev - 2015 - Psychological Review 122 (4):621-647.
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  5.  12
    Signal detection by human observers: A cutoff reinforcement learning model of categorization decisions under uncertainty.Ido Erev - 1998 - Psychological Review 105 (2):280-298.
  6.  25
    On the potential value and limitations of emphasis change and other exploration-enhancing training methods.Eldad Yechiam, Ido Erev & Daniel Gopher - 2001 - Journal of Experimental Psychology: Applied 7 (4):277.
  7.  8
    Conformity and Group Performance.Taher Abofol, Ido Erev & Raanan Sulitzeanu-Kenan - 2023 - Human Nature 34 (3):381-399.
    This research provides evidence regarding the causal effect of group conformity on task performance in stable and variable environments. Drawing on studies in cultural evolution, social learning, and social psychology, we experimentally tested the hypotheses that conformity improves group performance in a stable environment (H1) and decreases performance (by hindering adaptability) in a temporally variable environment (H2). We compare the performance of individuals, low conformity groups, and high conformity groups in a four-arm randomized lab experiment (N = 240). High conformity (...)
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  8.  3
    Contradictory deviations from maximization: Environment-specific biases, or reflections of basic properties of human learning?Ido Erev, Eyal Ert, Ori Plonsky & Yefim Roth - 2023 - Psychological Review 130 (3):640-676.
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  9.  4
    Multi-agent learning and the descriptive value of simple models.Ido Erev & Alvin E. Roth - 2007 - Artificial Intelligence 171 (7):423-428.
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  10.  11
    On accumulation of information and model selection.Ido Erev - 2001 - Behavioral and Brain Sciences 24 (3):406-407.
    This commentary extends Hertwig & Ortmann's analysis by asking how stricter model selection conventions can facilitate the accumulation of information from experimental studies. In many cases researchers are currently motivated to summarize their data with ambiguous and/or multi parameter models. A “generality first” convention can help eliminate this problem.
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  11.  5
    The impact of experience on decisions based on pre-choice samples and the face-or-cue hypothesis.Ido Erev, Ofir Yakobi, Nathaniel J. S. Ashby & Nick Chater - 2022 - Theory and Decision 92 (3-4):583-598.
    The growing literature on how people learn to make decisions based on experience focuses on two types of paradigms. In one paradigm, people are faced with a choice, and must retrospectively consult past experience of similar choices to decide what to do. In the other paradigm, people are faced with a choice, and then have the opportunity prospectively to gather new experiences that might help them make that choice. The current paper examines the joint impact of both retrospective and prospective (...)
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  12.  6
    On the Value of Alert Systems and Gentle Rule Enforcement in Addressing Pandemics.Yefim Roth, Ori Plonsky, Edith Shalev & Ido Erev - 2020 - Frontiers in Psychology 11.
    The COVID-19 pandemic poses a major challenge to policy makers on how to encourage compliance to social distancing and personal protection rules. This paper compares the effectiveness of two policies that aim to increase the frequency of responsible health behavior using smartphone-tracking applications. The first involves enhanced alert capabilities, which remove social externalities and protect the users from others’ reckless behavior. The second adds a rule enforcement mechanism that reduces the users’ benefit from reckless behavior. Both strategies should be effective (...)
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  13.  29
    The effect of base rate, careful analysis, and the distinction between decisions from experience and from description.Amos Schurr & Ido Erev - 2007 - Behavioral and Brain Sciences 30 (3):281-281.
    Barbey & Sloman (B&S) attribute base-rate neglect to associative processes (like retrieval from memory) that fail to adequately represent the set structure of the problem. This commentary notes that associative responses can also lead to base-rate overweighting. We suggest that the difference between the two patterns is related to the distinction between decisions from experience and decisions from description.
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  14.  7
    The importance of theory: Response to Brenner (2000).Thomas S. Wallsten, Ido Erev & David V. Budescu - 2000 - Psychological Review 107 (4):947-949.
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