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In Darwin’s world the user creates robot-like graphical creatures with behavior defined by a simple programming language. These creatures migrate around a small two-dimensional grid, each according to its simple program created by the user. The GUI application that controls and displays the location of these creatures must interpret the program instructions supplied in a simple text file for each creature type in real-time and display the movement and behavior of these creatures. Since some creatures may “infect” another creature in an adjacent grid location, converting the infected creature into the same type as the creature administering the infection, the population of the various creature types changes over time although the total number of creatures remains constant. The application tracks and displays the population dynamics as the simulation evolves. New creature types may be created by supplying a text file that contains the “program” that the application interprets. This necessitates changes to the GUI that displays the dynamics of the simulation.

WCF provides a basis for SOA – service-oriented architecture. This paradigm differs from traditional OOP in which tight encapsulation of data is encouraged and supported by classes. With SOA utilizes loosely coupled services. Each service defines a contract to the entities that consume it. It is generally difficult to implement a single interface across many platforms and languages because of the nature of distributed systems. It is essential to implement the interfaces in a generic manner.

International audience; It is well-known that few object-oriented programming languages allow objects to change their nature at run-time. In this paper we discuss the need for object-oriented programming languages to reflect the dynamic nature of problems, particularly those arising in a mathematical context. It is from this context that we present a framework, together with a Java-like implementation of that framework, that realistically represents the dynamic and evolving characteristic of problems and algorithms.