The Ladder Theory of Behavioral Decision Making
Xingguang Chen

TL;DR
The paper introduces the Ladder Theory, a new behavioral decision-making framework that integrates prospect and image theories, providing better explanation and prediction of individual decisions in complex scenarios.
Contribution
It proposes the Ladder Theory, a novel model that enhances classical behavioral decision theories by incorporating subjective attribute preferences and multi-attribute decision strategies.
Findings
LT outperforms PT and IT in explaining decision behaviors
LT can encompass PT and IT as special cases
The model is validated through four real case comparisons
Abstract
We study individual decision-making behavioral on generic view. Using a formal mathematical model, we investigate the action mechanism of decision behavioral under subjective perception changing of task attributes. Our model is built on work in two kinds classical behavioral decision making theory: "prospect theory (PT)" and "image theory (IT)". We consider subjective attributes preference of decision maker under the whole decision process. Strategies collection and selection mechanism are induced according the description of multi-attributes decision making. A novel behavioral decision-making framework named "ladder theory (LT)" is proposed. By real four cases comparing, the results shows that the LT have better explanation and prediction ability then PT and IT under some decision situations. Furthermore, we use our model to shed light on that the LT theory can cover PT and IT ideally.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDecision-Making and Behavioral Economics · Cognitive Science and Mapping · Bayesian Modeling and Causal Inference
