Urbano, P., Monmarché, N., et Gaucher, P. (2009). Robotique collective et mobile inspirée par les insectes. Fourmis Artificielles, nouvelles directions pour une intelligence collective, volume 2, Traité IC2. Hermès-Lavoisier.

Urbano, P., Balsa, J., Antunes, L., Moniz, L. (2009). Efficiency of the emergence of consensus in complex networks - assessing force influence. Versão revista e reavaliada de [12]. Inteligencia Artificial (ISSN: 1137-3601), LatinAmerican Journal of Artificial Intelligence, Vol. 13, Nº 42, pp. 55-62, edited by the Spanish Association for Artificial Intelligence (AEPIA).

Antunes, L., Nunes, D., Coelho, H., Balsa, J., Urbano, P. (2009). Context Switching versus Context Permeability in Multiple Social Networks. Proceedings of the Encontro Português de Inteligência Artificial (EPIA-2009), October 12-15, Aveiro (Portugal), in Lopes, L.S., Lau, N., Mariano, P., Rocha, L.M. (ed.). Progress in Artificial Intelligence, Springer-Verlag LNAI 5816, pp. 547-559. 

Urbano, P., (2009). Stigmergic Coordination of a Group of Artificial Painters. Invited Paper in Proceedings of ICAART’09, International Conference on Agents and Artificial Intelligence, 19-21 of January, Porto, Portugal.

Urbano, P., Balsa, J., Antunes, L., Moniz, L. (2009). Force versus majority: A comparison in convention emergence efficiency. In Virginia Dignum and Eric Matson, editors, Coordination, Organizations, Institutions, and Norms in Agent Systems IV (COIN IV), a refereed post-workshop proceedings of the International Workshop on Coordination, Organization, Institutions and Norms in Agent Systems, COIN 2008, held as two events at AAMAS 2008, the 7th International Joint Conference on Autonomous Agents and Multi-agent Systems in Estoril, Portugal, in May 2008 and AAAI 2008 Twenty-Third AAAI Conference on Artificial Intelligence in Chicago, USA, in July 2008.  LNAI 5428 Springer Verlag.

Urbano, P., Balsa, J., Ferreira Jr, P., and Antunes, L. (2009). How much should agents remember? the role of memory size on convention emergence efficiency. In: Progress in Artificial Intelligence, pp. 508-519, Springer Berlin Heidelberg.