I like to read random interesting papers or textbooks with my friends. Here is a partial list that I think describes my current interests well.

Textbooks

• Sutton, R., & Barto, A. (2018). Reinforcement learning: An introduction. MIT Press.
• Farrell, S., & Lewandowsky, S. (2018). Computational modeling of cognition and behavior. Cambridge University Press.
• Davies, N., Krebs, J., & West, S. (2012). An Introduction to Behavioural Ecology. Wiley-Blackwell.
• N. D. Goodman, J. B. Tenenbaum, and The ProbMods Contributors (2016). Probabilistic Models of Cognition (2nd ed.).
• Acerbi, A., Mesoudi, A., & Smolla, M. (2022). Individual-based models of cultural evolution: a step-by-step guide using R. Routledge.

Papers

In 2022

• Oey, L. A., Schachner, A., & Vul, E. (2022). Designing and detecting lies by reasoning about other agents. Journal of Experimental Psychology
• Charlton, Shawn R., et al. “Now for me, later for us? Effects of group context on temporal discounting.” Journal of Behavioral Decision Making 26.2 (2013): 118-127.
• Sloman, Sabina J., Robert L. Goldstone, and Cleotilde Gonzalez. “A Social Interpolation Model of Group Problem‐Solving.” Cognitive Science 45.12 (2021): e13066.
• Kleiman-Weiner, Max, Rebecca Saxe, and Joshua B. Tenenbaum. “Learning a commonsense moral theory.” Cognition 167 (2017): 107-123.
• Thöni, Christian, and Stefan Volk. “Conditional cooperation: Review and refinement.” Economics Letters 171 (2018): 37-40.
• Baker, Chris L., et al. “Rational quantitative attribution of beliefs, desires and percepts in human mentalizing.” Nature Human Behaviour 1.4 (2017): 1-10.
• Khalvati, Koosha, et al. “Modeling other minds: Bayesian inference explains human choices in group decision-making.” Science advances 5.11 (2019): eaax8783.
• Coppock, Alexander, Seth J. Hill, and Lynn Vavreck. “The small effects of political advertising are small regardless of context, message, sender, or receiver: Evidence from 59 real-time randomized experiments.” Science advances 6.36 (2020): eabc4046.
• Vélez, Natalia, and Hyowon Gweon. “Integrating incomplete information with imperfect advice.” Topics in cognitive science 11.2 (2019): 299-315.
• Kemp, Charles, Andrew Perfors, and Joshua B. Tenenbaum. “Learning overhypotheses with hierarchical Bayesian models.” Developmental science 10.3 (2007): 307-321.
• Pärnamets, Philip, et al. “A value-based framework for understanding cooperation.” Current Directions in Psychological Science 29.3 (2020): 227-234.
• Fehr, Ernst, and Ivo Schurtenberger. “Normative foundations of human cooperation.” Nature Human Behaviour 2.7 (2018): 458-468.
• Gutiérrez-Roig, Mario, et al. “Transition from reciprocal cooperation to persistent behaviour in social dilemmas at the end of adolescence.” Nature communications 5.1 (2014): 1-7.
• Vives, Marc-Lluís, and Oriel FeldmanHall. “Tolerance to ambiguous uncertainty predicts prosocial behavior.” Nature communications 9.1 (2018): 1-9.
• Blanco, Mariana, et al. “Preferences and beliefs in a sequential social dilemma: a within-subjects analysis.” Games and Economic Behavior 87 (2014): 122-135.
• Devaine, Marie, Guillaume Hollard, and Jean Daunizeau. “The social Bayesian brain: does mentalizing make a difference when we learn?.” PLoS computational biology 10.12 (2014): e1003992.
• Rockenbach, Bettina, and Manfred Milinski. “The efficient interaction of indirect reciprocity and costly punishment.” Nature 444.7120 (2006): 718-723.
• Introduction to the Free Energy Principle (in Japanese)