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Digital Library

of the European Council for Modelling and Simulation

 

Title:

SinCity: A Pedagogical Testbed For Checking Multi-Agent Learning

Techniques

Authors:

Ana M. Peleteiro-Ramallo, Juan C. Burguillo-Rial,

Pedro S. Rodríguez-Hernández, Enrique Costa-Montenegro

Published in:

 

(2009).ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera. European Council for Modeling and Simulation. doi:10.7148/2009 

 

ISBN: 978-0-9553018-8-9

 

23rd European Conference on Modelling and Simulation,

Madrid, June 9-12, 2009

Citation format:

Peleteiro-Ramallo, A. . M., Burguillo-Rial, J. C., Rodriguez-Hernandez, P. S., & Costa-Montenegro, E. (2009). SinCity: A Pedagogical Testbed For Checking Multi-Agent Learning Techniques. ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera (pp. 240-246). European Council for Modeling and Simulation. doi:10.7148/2009-0240-0246

DOI:

http://dx.doi.org/10.7148/2009-0240-0246

Abstract:

In this paper we present SinCity, a pedagogical testbed to compare multi-agent learning strategies. SinCity has been developed in NetLogo and it can be considered as an extension of the simple predator-prey pursuit problem. In our case, we model a police/thief pursuit in an urban grid environment where several elements (cars, traffic lights, etc.) may interact with the agents in the simulation. SinCity allows to model, in a graphical friendly environment, different strategies for both, the Police and the thief, also implying coordination and communication among the agent set. SinCity is oriented mainly as a pedagogical testbed for learning techniques. The main contributions of the paper are a graphical simulating environment in NetLogo (distributed as open source), a pedagogical testbed for simulating multi- agent learning strategies, and the results concerning the simulations performed.

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