Minority Game: A Logic-Based Approach in TuCSoN.

摘要: Minority Game is receiving an increasing interest because it models emergent properties of complex systems including rational entities, such as for instance the evolution financial markets. As such, provides a simple yet stimulating scenario system simulation. In this paper, we aim at presenting logic approach to whose goal overcome well-known limits equation model in verification behaviour. We realise social simulation using novel MAS metamodel based on agents and artifacts, where agent rationality obtained BDI architecture. To end, adopt TuCSoN infrastructure coordination, its logic-based tuple centre abstractions artifact representatives. By implementing over TuCSoN, show some benefits terms flexibility controllability A number parameters can affect behaviour simulation: are explicitly represented coordination artifact, so that they be tuned up during particular, experiments shown memory size wrong moves adopted tuning parameters.