Decision theory

Decision Theory
Decision theory provides a basis for making choices in the face of uncertainty, based on the assignment of probabilities and payoffs to all possible outcomes of each decision.

Decision Theory
A formal framework for making logical decisions in problem areas containing risk, uncertainty and probabilities, typically employing Bayesian inference methods.
Decision tree ...

Decision theory
Discounted maximum loss
Taguchi methods
[edit] References ...

In decision theory (for example risk management), a decision tree is a graph of decisions and their possible consequences, (including resource costs and risks) used to create a plan to reach a goal.

The Bayesian Decision Theory establishes that the strategy which consists in assigning any new observation to the class with the largest posterior probability is optimal : no other strategy can lead to a a lower classification error rate.

^ a b Decision theory and decision analysis: Russell & Norvig 2003, pp. 584-597, Poole, Mackworth & Goebel 1998, pp. 381-394
^ a b Information value theory: Russell & Norvig 2003, pp. 600-604 ...

In some cases, we will find it useful to generalize the Bayesian view to encompass the Bayesian decision theory.

We find in it the extraordinary confluence of several strands in intellectual thought: the justification of theism; probability theory and decision theory, used here for almost the first time in history; pragmatism; ...

[.] game theory and, in a broader sense, decision theory. Most AI programmers who are familiar with his minimax model also know that one of the requisite premises of applying it is perfect knowledge of the game [.]
is it possible for 4 players ...

Signal detection theory (SDT) is an application of statistical decision theory used to detect a signal embedded in noise.

The second task is a decision theory problem: converting the expectation of delayed reward into an immediate action. Since reinforcement learning requires exploration, it is often combined with active learning, though this is not essential.

Decision-Making: basics of utility theory, decision theory, sequential decision problems, elementary game theory, sample applications.

Perfect rationality: the classical notion of rationality in decision theory. A perfectly rational agent acts at every instant in such a way as to maximize its expected utility, given the information it has acquired from the environment ...

See also: Knowledge, Classification, Neural network, Agent, Data mining