On using Ada to solve problems in computational economics and related disciplines with concurrent, multiagent algorithms

Multiagent algorithms are widely used in computational economics and other social sciences to solve theoretical and practical problems. Because such algorithms are inherently concurrent and multithreaded, Ada's constructs for handling communications between concurrent processes and avoiding interference between them make the language very well suited to solving these problems, particularly given developments in multi-core CPU chip-making. This paper provides a concrete example of how Ada assists in solving problems in computational economics and related disciplines that work with multiagent systems. Solving a simple problem illustrates visualizing the agents as Ada tasks, using UML use cases and synchronization diagrams to design the communications patterns between agents, and applying protected objects and functions to avoid computational indeterminacy.