Abstract
The study of decision making has traditionally been dominated by axiomatic utility theories. More recently, an alternative approach, which focuses on the micro-mechanisms of the underlying deliberation process, has been shown to account for several “paradoxes” in human choice behavior for which simple utility-based approaches cannot. Decision field theory (DFT) is a cognitive-dynamical model of decision making and preferential choice, built on the fundamental principle that decisions are based on the accumulation of subjective evaluations of choice alternatives until a threshold criterion is met. This article extends the basic DFT framework to the domain of dynamic decision making. DFT-Dynamic is proposed as a new alternative to normative backward induction. Through its attention to the processes underlying planning and deliberation DFT-D provides simple, emergent explanations for violations of choice principles traditionally taken as evidence of irrationality. A recent multi-stage decision making study is used to showcase the model’s efficacy for developing cognitive models of individual strategies
Original language | English (US) |
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Pages (from-to) | 67-80 |
Journal | Synthese |
Volume | 189 |
Issue number | S1 |
DOIs | |
State | Published - Dec 1 2012 |
Externally published | Yes |
Keywords
- cognitive models
- dynamic decision making
- dynamic consistency
- planning
- decision trees
- sequential sampling
- preferential choice
- DFT