Evidential decision theory (EDT) is a school of thought within decision theory which states that, when a rational agent is confronted with a set of possible...

which causes the best outcome in expectation. CDT contrasts with evidential decision theory (EDT), which recommends the action which would be indicative of...

Decision making Decision quality Emotional choice theory Evidential decision theory Functional decision theory Game theory Multi-criteria decision making Newcomb's...

preference — than the more prominent decision theories, Causal Decision Theory (CDT) and Evidential Decision Theory (EDT). In general, CDT states that the...

its decision, making it impossible for the player's decision to affect the predictor's decision. Decision theory Causal decision theory Evidential decision...

Theater, an activist and artist collective Evidential decision theory, a school of thought within decision theory Event-driven trading, institutional investors...

In decision theory, the evidential reasoning approach (ER) is a generic evidence-based multi-criteria decision analysis (MCDA) approach for dealing with...

structure "Evidential reason", a type of reason (argument) in contrast to an "explanatory reason" Evidential reasoning approach, in decision theory, an approach...

Similar to a decision matrix, a belief decision matrix is used to describe a multiple criteria decision analysis (MCDA) problem in the Evidential Reasoning...

the decision theory literature sparked by Newcomb's problem. Causal decision theory suggests that superrationality is irrational, while evidential decision...

theory is a theory of behavioral economics, judgment and decision making that was developed by Daniel Kahneman and Amos Tversky in 1979. The theory was...

Info-gap decision theory seeks to optimize robustness to failure under severe uncertainty, in particular applying sensitivity analysis of the stability...

Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) Evidential reasoning approach for MCDM under hybrid uncertainty There are significant...

(1976). Mathematical Theory of Evidence. Princeton University Press. ISBN 0-691-08175-1. Yang J.B.; Xu D.L. (2002). "On the evidential reasoning algorithm...

decision making (both in daily life and in settings such as business, government and medicine). It is also known as multiple attribute utility theory...

responding to the Supreme Court's decisions that had resulted in the re-segregation of schools. The concept of standpoint theory became particularly relevant...

Architecturally evident coding styles and code reviews that focus on architectural concerns and decisions are two related practices. Architectural decisions also...

Evidence, Decision and Causality (Cambridge University Press, 2014), which defends evidential decision theory and critiques causal decision theory. Ahmed...

formulation of the great man theory was Herbert Spencer, who believed that attributing historical events to the decisions of individuals was an unscientific...

Set theory is the branch of mathematical logic that studies sets, which can be informally described as collections of objects. Although objects of any...

investigate the "evidential relation", the relation between evidence and the proposition supported by it. The issue of the nature of the evidential relation concerns...

Chaos theory is an interdisciplinary area of scientific study and branch of mathematics. It focuses on underlying patterns and deterministic laws of dynamical...

assigned a probability. Bayesian probability belongs to the category of evidential probabilities; to evaluate the probability of a hypothesis, the Bayesian...

experimental study about self-awareness in status-seeking behavior". Theory and Decision. 79 (3): 493–515. doi:10.1007/s11238-014-9469-5. hdl:10419/70167...

Color theory, or more specifically traditional color theory, is the historical body of knowledge describing the behavior of colors, namely in color mixing...

The theory of belief functions, also referred to as evidence theory or Dempster–Shafer theory (DST), is a general framework for reasoning with uncertainty...

Pearl, J. (1985). Bayesian Networks: A Model of Self-Activated Memory for Evidential Reasoning (UCLA Technical Report CSD-850017). Proceedings of the Seventh...

In information theory, the entropy of a random variable is the average level of "information", "surprise", or "uncertainty" inherent to the variable's...

generally formulated in two forms: the logical problem of evil and the evidential problem of evil. The logical form of the argument tries to show a logical...

since the 1990s. Gollwitzer's contributions include his theory of mindset and the mindset theory of action phases. A political example is the "Cold War...