Concepts inPayment Rules through Discriminant-Based Classifiers

Mechanism design

Mechanism design (sometimes called reverse game theory) is a field in game theory studying solution concepts for a class of private information games. The distinguishing features of these games are: that a game "designer" chooses the game structure rather than inheriting one that the designer is interested in the game's outcome Such a game is called a "game of mechanism design" and is usually solved by motivating agents to disclose their private information.  more from Wikipedia

Incentive compatibility

In mechanism design, a process is said to be incentive-compatible if all of the participants fare best when they truthfully reveal any private information asked for by the mechanism. As an illustration, voting systems which create incentives to vote dishonestly lack the property of incentive compatibility. In the absence of dummy bidders or collusion, a second price auction is an example of a mechanism that is incentive compatible.  more from Wikipedia

Rational choice theory

Rational choice theory, also known as choice theory or rational action theory is a framework for understanding and often formally modeling social and economic behavior. It is the main theoretical paradigm in the currently-dominant school of microeconomics.  more from Wikipedia

Markov random field

In the domain of physics and probability, a Markov random field (often abbreviated as MRF), Markov network or undirected graphical model is a set of random variables having a Markov property described by an undirected graph. A Markov random field is similar to a Bayesian network in its representation of dependencies; the differences being that Bayesian networks are directed and acyclic, whereas Markov networks are undirected and may be cyclic.  more from Wikipedia

Combinatorial auction

A combinatorial auction is a type of smart market in which participants can place bids on combinations of discrete items, or ¿packages,¿ rather than just individual items or continuous quantities. Simple combinatorial auctions have been used for many years in estate auctions, where a common procedure is to accept bids for packages of items.  more from Wikipedia

Machine learning

Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases. A learner can take advantage of examples (data) to capture characteristics of interest of their unknown underlying probability distribution. Data can be seen as examples that illustrate relations between observed variables.  more from Wikipedia

Support vector machine

A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis. The standard SVM takes a set of input data and predicts, for each given input, which of two possible classes forms the input, making the SVM a non-probabilistic binary linear classifier.  more from Wikipedia