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This project is an example of a software agent for playing simulated soccer. The agent uses a FSM library and an Expert System library to make decisions.
SeSAm (Shell for Simulated Agent Systems) provides a generic environment for modelling and experimenting with agent-based simulation with a special focus on the easy construction of complex models including dynamic interdependencies or emergent behaviour
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Trading Agent Competition (TAC) is an international forum designed to promote and encourage high quality research into the trading agent problem.
The TAC SCM open-source software consists of a Java-based Game Server and and library for developing agents.
Agents design supporting system for simulation models
Main task is automating the creation of simulation models of complex model.
The originalities of proposed software are explicit representation of conceptual model in the concept – attribute – relation form and applying expert system approach to transform designed ontology into agent model. Researchers develop the structure and behavior of agents using declarative approach.
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