JASA is a high-performance auction simulator. It is designed for performing experiments in agent-based computational economics. It implements variants of the double-auction market, which is commonly used to run real-world market places such as stock exchanges. It is designed to be highly extensible so that other types of auctions can easily be implemented. The software also provides a base classes for implementing simple adaptive trading agents.
JABM is a Java API for developing agent-based simulation models using a discrete-event simulation framework. It has a simple architecture in which agents are represented using plain-old Java objects (POJOs). Simulations are configured via dependency injection using the industry-standard Spring framework, thus allowing attributes of any object in the simulation to be specified as random variables to be drawn from a specified distribution without having to write any Java code. Attributes of any object can be specified as independent variables or treatments with a given range of values, and experiments with different treatments can be easily parallelized using, for example, SGE.