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  1.  33
    Strategies for memory-based decision making: Modeling behavioral and neural signatures within a cognitive architecture.Hanna B. Fechner, Thorsten Pachur, Lael J. Schooler, Katja Mehlhorn, Ceren Battal, Kirsten G. Volz & Jelmer P. Borst - 2016 - Cognition 157 (C):77-99.
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  2.  37
    Framing From Experience: Cognitive Processes and Predictions of Risky Choice.Cleotilde Gonzalez & Katja Mehlhorn - 2016 - Cognitive Science 40 (5):1163-1191.
    A framing bias shows risk aversion in problems framed as “gains” and risk seeking in problems framed as “losses,” even when these are objectively equivalent and probabilities and outcomes values are explicitly provided. We test this framing bias in situations where decision makers rely on their own experience, sampling the problem's options and seeing the outcomes before making a choice. In Experiment 1, we replicate the framing bias in description-based decisions and find risk indifference in gains and losses in experience-based (...)
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  3. The activation of hypotheses during abductive reasoning.Martin Rk Baumann, Katja Mehlhorn & Franziska Bocklisch - 2007 - In McNamara D. S. & Trafton J. G. (eds.), Proceedings of the 29th Annual Cognitive Science Society. Cognitive Science Society.
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  4. Modeling sequential information integration with parallel constraint satisfaction.Katja Mehlhorn & Georg Jahn - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 2469--2474.
  5.  57
    Cognitive Modeling at ICCM: State of the Art and Future Directions.Niels A. Taatgen, Marieke K. Vugt, Jelmer P. Borst & Katja Mehlhorn - 2016 - Topics in Cognitive Science 8 (1):259-263.
    The goal of cognitive modeling is to build faithful simulations of human cognition. One of the challenges is that multiple models can often explain the same phenomena. Another challenge is that models are often very hard to understand, explore, and reuse by others. We discuss some of the solutions that were discussed during the 2015 International Conference on Cognitive Modeling.
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    Cognitive Modeling at ICCM : State of the Art and Future Directions.Niels A. Taatgen, Marieke K. van Vugt, Jelmer P. Borst & Katja Mehlhorn - 2016 - Topics in Cognitive Science 8 (1):259-263.
    The goal of cognitive modeling is to build faithful simulations of human cognition. One of the challenges is that multiple models can often explain the same phenomena. Another challenge is that models are often very hard to understand, explore, and reuse by others. We discuss some of the solutions that were discussed during the 2015 International Conference on Cognitive Modeling.
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