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Abstract

This thesis examines various aspects of decision making, with a focus on probabilistic tools to cognitive modeling. One such tool is the so-called Classical Probability Theory (CPT, or Bayesian Theory; Tenenbaum & Griffiths, 2001; Chater et al., 2006), which has been the dominant approach in understanding different aspects of human behavior. The broad argument is that cognitive processing must reflect some kind of optimal adaptation to environmental statistical structure and, therefore, human cognition must be consistent with the principles of CPT (Oaksford & Chater, 2009). CPT indeed appears to provide accurate descriptions of behavior in many cases, particularly decision making (Siegel et al., 2018), which is the focus of this work.

Publication Type:	Thesis (Doctoral)
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Departments:	School of Health & Psychological Sciences > Psychology School of Health & Psychological Sciences > School of Health & Psychological Sciences Doctoral Theses Doctoral Theses

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