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Bursts and Heavy Tails in Temporal and Sequential Dynamics of Foraging Decisions
16 references·4 citing·42 second hop
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References

  • 2009Power-Law Distributions in Empirical Data8,008 cited
  • 2018Power-law distributions in empirical data6,499 cited
  • 1961RELATIVE AND ABSOLUTE STRENGTH OF RESPONSE AS A FUNCTION OF FREQUENCY OF REINFORCEMENT 1, 22,277 cited
  • 2005The origin of bursts and heavy tails in human dynamics2,260 cited
  • 1998Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria1,794 cited
  • 1999Experience-weighted Attraction Learning in Normal Form Games1,487 cited
  • 1974ON TWO TYPES OF DEVIATION FROM THE MATCHING LAW: BIAS AND UNDERMATCHING 11,460 cited
  • 2006Modeling bursts and heavy tails in human dynamics674 cited
  • 2008Burstiness and memory in complex systems541 cited
  • 2005Choosing the greater of two goods: neural currencies for valuation and decision making536 cited
  • 2004L�vy walk patterns in the foraging movements of spider monkeys (Ateles geoffroyi)503 cited
  • 1974FORMAL PROPERTIES OF THE MATCHING LAW1467 cited
  • 2008A Poissonian explanation for heavy tails in e-mail communication397 cited
  • 2012Universal features of correlated bursty behaviour311 cited
  • 2010Evidence for a bimodal distribution in human communication

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269 cited
  • 2009Scaling laws of human interaction activity243 cited
  • Cited by

    • 2018The Bursts and Lulls of Multimodal Interaction: Temporal Distributions of Behavior Reveal Differences Between Verbal and Non‐Verbal Communication34 cited
    • 2019A Computational Model of Attention Control in Multi-Attribute, Context-Dependent Decision Making5 cited
    • 2019Preference-based serial decisions are counterintuitively influenced by emotion regulation and conscientiousness4 cited
    • 2020Retrospective Evaluation of Sequential Events and the Influence of Preference-Dependent Working Memory: A Computational Examination3 cited