1. Jerome R. Busemeyer & Joseph G. Johnson (2008). Microprocess Models of Decision Making. In Ron Sun (ed.), The Cambridge Handbook of Computational Psychology. Cambridge University Press. 302--321.
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  2. Jerome R. Busemeyer, Joseph G. Johnson & Ryan K. Jessup (2006). Preferences Constructed From Dynamic Micro-Processing Mechanisms. In Sarah Lichtenstein & Paul Slovic (eds.), The Construction of Preference. Cambridge University Press. 220--234.
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  3. Joseph G. Johnson & Jerome R. Busemeyer (2001). Multiple-Stage Decision-Making: The Effect of Planning Horizon Length on Dynamic Consistency. Theory and Decision 51 (2/4):217-246.
    Many decisions involve multiple stages of choices and events, and these decisions can be represented graphically as decision trees. Optimal decision strategies for decision trees are commonly determined by a backward induction analysis that demands adherence to three fundamental consistency principles: dynamic, consequential, and strategic. Previous research (Busemeyer et al. 2000, J. Exp. Psychol. Gen. 129, 530) found that decision-makers tend to exhibit violations of dynamic and strategic consistency at rates significantly higher than choice inconsistency across various levels of potential (...)
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