16.12
Belief-based and preference-based models are two central models often used in decision-making.
These frameworks explain how individuals and organizations make decisions based on probabilities, personal values, and priorities.
Belief-based models focus on how people form expectations about uncertain outcomes.
Decisions are influenced by perceived probabilities, past experiences, and new information.
People often rely on logic or heuristics to make quick decisions, though heuristics can sometimes lead to biases.
For example, an investor might buy shares believing the stock will rise, but new data indicating a downturn can quickly change that decision.
In contrast, preference-based models emphasize personal values over probabilities.
Here, decisions are driven by intrinsic motivations rather than the likelihood of outcomes.
For instance, an investor might allocate funds to environmentally focused companies, prioritizing ethical considerations over potentially higher returns from more conventional investments.
Many decisions involve both models.
Understanding how the models interact helps individuals and organizations make balanced choices that align with both logical expectations and personal values.
信念と嗜好ベースモデルは、不確実な環境における意思決定を理解するための重要な枠組みを提供します。これらのモデルは、個人や組織が確率、個人の価値観、優先順位のバランスを取りながら選択を行う方法を説明します。
信念ベースモデルは、人々が不確実な結果についてどのように期待を形成するかを強調します。このモデ…
著作権 © 2026 MyJoVE Corporation. 無断転載を禁じます。