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  1. Combining psychological models with machine learning to better predict people’s decisions.Avi Rosenfeld, Inon Zuckerman, Amos Azaria & Sarit Kraus - 2012 - Synthese 189 (S1):81-93.
    Creating agents that proficiently interact with people is critical for many applications. Towards creating these agents, models are needed that effectively predict people's decisions in a variety of problems. To date, two approaches have been suggested to generally describe people's decision behavior. One approach creates a-priori predictions about people's behavior, either based on theoretical rational behavior or based on psychological models, including bounded rationality. A second type of approach focuses on creating models based exclusively on observations of people's behavior. At (...)
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  • Why option generation matters for the design of autonomous e-coaching systems.Bart Kamphorst & Annemarie Kalis - 2015 - AI and Society 30 (1):77-88.
    Autonomous e-coaching systems offer their users suggestions for action, thereby affecting the user's decision-making process. More specifically, the suggestions that these systems make influence the options for action that people actually consider. Surprisingly though, options and the corresponding process of option generation --- a decision-making stage preceding intention formation and action selection --- has received very little attention in the various disciplines studying decision making. We argue that this neglect is unjustified and that it is important, particularly for designers of (...)
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  • Human–computer negotiation in a three player market setting.Galit Haim, Ya'akov Gal, Bo An & Sarit Kraus - 2017 - Artificial Intelligence 246 (C):34-52.
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