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New Features in JAS 1.0: Enhanced Simulation and Statistical Capabilities

Discover the innovative features of JAS 1.0, presented by Michele Sonnessa from the University of Torino at SwarmFest 2004. This update introduces a new graphical user interface for the simulation environment, advanced statistical packages, and enhanced database support with HSQLDB. Users can now perform social network analysis, manage simulation data, and leverage new functions for moving averages and data visualization. Explore the capabilities of relational and topological models, improved data handling, and tools for artificial neural networks.

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New Features in JAS 1.0: Enhanced Simulation and Statistical Capabilities

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  1. http://jaslibrary.sourceforge.net JAS 1.0: New features Michele Sonnessa (sonnessa@di.unito.it) Department of Computer Science University of Torino, Italy SwarmFest 2004, May 9-11 Ann Arbor

  2. Main new features • A new GUI: the simulation environment • A brand new statistical package • HSQLDB database support • Graph package with Social Network Analysis functions

  3. The simulation environment Simulation controls Project tree panel Output console User’s model area

  4. jas.statistics.* Statistics: the encapsulation I*Source I*Source I*Source I*Source CrossSection.* I*ArraySource *ArrayFunction I*Source *TraceFunction Series.* I*Source I*ArraySource Array Value

  5. jas.statistics.* myAgent n myAgent 1 myAgent 2 Single value Array of values IntInvoker IntInvoker IntInvoker CrossSection MeanArrayFunction MovingAverageFunction Series Statistics: the moving average example

  6. jas.statistics.* Statistics: a code example CrossSection.Integer crossSection = new CrossSection.Integer(agentList, “income”, false); Series.Double series = new Series.Double(new MeanFunction(crossSection)); MovingAverageArrayFunction ma = new MovingAverageArrayFunction(series, 3); … eventList.scheduleSimple(0, 1, ma, Sim.EVENT_UPDATE);

  7. jas.statistics.db.* Hypersonic SQL Database • Automatically collects simulation data • Supports multi-run indexing • Automatically creates primary keys • Data can be later read with • Standard jdbc consumers • OpenOffice • The JAS database manager (taken from the HSQL tools)

  8. jas.statistics.db.* Database: an example private void buildDatabase(String databaseName) { database = new Database(path + "dbout/", databaseName, true); CollectionTable agentIncomeTable = database.addCollectionTable("AgentIncome", Table.PK_SIMULATION_TIME, agents); agentIncomeTable.addDoubleColumn("CurrentIncome", DataAgent.INCOME); Table averageTable = database.addTable("Wealth", Table.PK_SIMULATION_TIME); averageTable.addDoubleColumn("Average", new MeanArrayFunction(agentsWealth)); averageTable.addDoubleColumn("Min", new MinArrayFunction.Double(agentsWealth)); averageTable.addDoubleColumn("Max", new MaxArrayFunction.Double(agentsWealth)); database.openDatabase(); }

  9. jas.statistics.db.* Database: output AgentIncome table RUNS table

  10. jas.graph.* Graphs • Graphs are based on the JGraphT library • We introduced the RelationalAgent template • JAS provides: • A graph drawer • A graph visual editor • Layout managers (by R.Boero) • Social Network Analysis statistics (by R.Boero) • Support for GraphML I/O format

  11. jas.graph.* Graph based models • Topological models: the agents are in relation with other agents and move in the space • Abstract relational models: the agent localization is managed by the layer managers

  12. jas.graph.* Graph viewer and SNA

  13. Some other new features • Artificial neural networks can now save and load data (weights, network structure and data sets) using the XML format • The AgentList object is able to add or remove objects during list iteration

  14. Under construction • A discrete-event library to easily design workflow simulations • How-tos and examples on GA, ANN, …

  15. Thank you Michele Sonnessa (sonnessa@di.unito.it) http://jaslibrary.sourceforge.net

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