Update about.md

Author: tturocy

content/about.md

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 title: About Gambit
 ---
 
-Gambit is a set of software tools for doing computation on finite,
-noncooperative games. These comprise a graphical interface for
-interactively building and analyzing general games in extensive or
-strategy form; a number of command-line tools for computing Nash
-equilibria and other solution concepts in games; and, a set of file
-formats for storing and communicating games to external tools.
-Gambit is fully-cross platform, and is supported on Linux, Mac OS X,
-and Microsoft Windows.
-
-Key features of Gambit
-======================
-
-Gambit has a number of features useful both for the researcher and the
-instructor:
-
-**Interactive, cross-platform graphical interface.** All Gambit
-features are available through the use of a graphical interface, which
-runs under multiple operating systems: Windows, various flavors of
-Un*x (including Linux), and Mac OS X. The interface offers flexible
-methods for creating extensive and strategic games. It offers an
-interface for running algorithms to compute Nash equilibria, and for
-visualizing the resulting profiles on the game tree or table, as well
-as an interactive tool for analyzing the dominance structure of
-actions or strategies in the game. The interface is useful for the
-advanced researcher, but is intended to be accessible for students
-taking a first course in game theory as well.
-
-**Command-line tools for computing equilibria.** More advanced
-applications often require extensive computing time and/or the ability
-to script computations. All algorithms in Gambit are packaged as
-individual, command-line programs, whose operation and output are
-configurable.
-
-**Extensibility and interoperability.** The Gambit tools read and
-write file formats which are textual and documented, making them
-portable across systems and able to interact with external tools. It
-is therefore straightforward to extend the capabilities of Gambit by,
-for example, implementing a new method for computing equilibria,
-reimplementing an existing one more efficiently, or creating tools to
-programmatically create, manipulate, and transform games, or for
-econometric analysis on games.
-
-
-Limitations of Gambit
-=====================
-
-Gambit has a few limitations that may be important in some
-applications. We outline them here.
-
-**Gambit is for finite games only.** Because of the mathematical
-structure of finite games, it is possible to write many general-
-purpose routines for analyzing these games. Thus, Gambit can be used
-in a wide variety of applications of game theory. However, games that
-are not finite, that is, games in which players may choose from a
-continuum of actions, or in which players may have a continuum of
-types, do not admit the same general-purpose methods.
-
-**Gambit is for noncooperative game theory only.** Gambit focuses on
-the branch of game theory in which the rules of the game are written
-down explicitly, and in which players choose their actions
-independently. Gambit's analytical tools center primarily around Nash
-equilibrium, and related concepts of bounded rationality such as
-quantal response equilibrium. Gambit does not at this time provide any
-representations of, or methods for, analyzing games written in
-cooperative form. (It should be noted that some problems in
-cooperative game theory do not suffer from the computational
-complexity that the Nash equilibrium problem does, and thus
-cooperative concepts could be an interesting future direction of
-development.)
-
-**Analyzing large games may become infeasible surprisingly quickly.**
-While the specific formal complexity classes of computing Nash
-equilibria and related concepts are still an area of active research,
-it is clear that, in the typical case, the amount of time required to
-compute equilibria increases rapidly in the size of the game. In other
-words, it is quite easy to write down games which will take Gambit an
-unacceptably long amount time to compute the equilibria of. There are
-two ways to deal with this problem in practice. One way is to better
-identify good heuristic approaches for guiding the equilibrium
-computation process. Another way is to take advantage of known
-features of the game to guide the process. Both of these approaches
-are now becoming areas of active interest. While it will certainly not
-be possible to analyze every game that one would like to, it is hoped
-that Gambit will both contribute to these two areas of research, as
-well as make the resulting methods available to both students and
-practitioners.
-
-Who built Gambit?
-=================
-
-Check out the [team page](/team/) on the Gambit website for up-to-date information on the current Gambit development team.
-
-History
--------
+
 
 The principal developers of Gambit have been: