[1] László Gulyás and George Kampis: "Emergence out of Interaction: Developing Evolutionary Technology for Design Innovation", Advanced Engineering Informatics, Volume 20, Issue 3, Design of Complex, Adaptive Systems, July 2006, pp. 313-320.
[2] Yuri Mansury, László Gulyás: „The Emergence of Zipf’s Law in a System of Cities: An Agent-Based Simulation Approach”, Journal of Economic Dynamics and Control, accepted
[3]
László Gulyás: “Cooperation
in Networked Populations of Selfish Adaptive Agents: Sensitivity to Network
Structure”, Physica A, Vol 378, Issue 1, 1 May 2007, pp. 110-117.
[4]
László
Gulyás: “Cooperation in Networked Populations
of Selfish Adaptive Agents: Sensitivity to Learning Speed”, Journal of Computational and Mathematical Organization Theory, Special Issue on Cooperation
in Selfish Systems, 2007. (submitted)
[5] George Kampis, László Gulyás: „Full Bodies: The Importance of the Phenotype in Evolution”, Artificial Life Journal, Special Issue on the Evolution of Complexity, MIT Press (submitted)
[6] Elenna R. Dugundji, László Gulyás: “Socio-Dynamic Discrete Choice on Networks in Space: Impacts of Agent Heterogeneity on Emergent Outcomes”, Environment and Planning B (submitted)
[7] Elenna R. Dugundji, László Gulyás: “Socio-Dynamic Discrete Choice applied to Intercity Travel Demand”, Sociological Methods and Research (submitted)
[8] László Gulyás, Márton Iványi, Gábor Tatai, Viktor Szabó, Balázs Adamcsek, Attila Korompai, Anita Goldpergel: “vBroker: A Participatory Stock Market Experiment with Heterogeneous Agents”, Journal of Economic Interaction and Coordination (JEIC) (submitted)
[9] László Laufer, László Gulyás, Richárd Szabó: „Measuring Stigmergy: The Case of Foraging Ants”, In Engineering Self-Organising Systems, ESOA 2006, Sven A Bruecknek, Salima Hassas, Márk Jellasity, Daniel Yamins (Eds.), Lecture Notes in Artificial Intelligence, LNAI 4335, Springer-Verlag 2007, pp. 50-65
[10] László Gulyás, Balázs Adamcsek:
„Charting the Market: Fundamental and Chartist Strategies in a Participatory
Stock Market Experiment”, In Developments on
Experimental Economics: New Approaches to Solving Real-World Problems, Oda, Sobei H.
(Ed.), Lecture Notes in Economics and Mathematical Systems (LNEMS), Vol. 590, Springer-Verlag 2007,
pp.
[11]
László Laufer, László Gulyás, Richárd Szabó: „Measuring Stigmergy: The
Case of Foraging Ants”, Proceedings of The Fourth International Workshop on
Engineering Self-Organizing Applications (ESOA 2006), Conference on
Artificial Agents and Multi-Agent Systems (AAMAS’06), May 2006.,
[12]
Márton Iványi, László Gulyás, Richárd Szabó: „Agent-Based Simulation in Disaster Management”,
Proceedings of The First International Workshop on
Agent Technology for Disaster Management (ATDM 2006), Conference on Artificial Agents and Multi-Agent Systems (AAMAS’06), May 2006.,
[13]
László Gulyás, George Kampis:
„Emergence as a Relational Property”, Interaction
and Emergent Phenomena in Societies of Agents (Papers from the AAAI Fall Symposium), October 13-15, 2006,
[14]
László Gulyás, Elenna
R. Dugundji: “Emergent Opinion Dynamics on Endogenous
Networks”, Interaction
and Emergent Phenomena in Societies of Agents (Papers from the AAAI Fall Symposium), October 13-15, 2006,
[15]
George Kampis,
László Gulyás: „Full
Bodies: The Importance of the Phenotype in Evolution”, Proceedings of the
Workshop on Evolution of Complexity, Artificial Life X: 10th International
Conference on the Simulation and Synthesis of Living Systems,
[16] György Kampis, László Gulyás: “Phat Phenotypes for
Agents in Niche Construction”, Artificial Life X: 10th International Conference
on the Simulation and Synthesis of Living Systems, MIT Press, 2006, pp. 125-131.
[17] George
Kampis, László Gulyás, Sándor Soós: “The Species Problem in Artificial Life”, 2007 IEEE
Symposium on Artificial Life,
[18]
László
Gulyás: „Agent-Based Modeling
and Simulation”, Tutorial, 20th European Simulation and Modeling Conference
(ESM2006), Toulouse, France,
October 23-25, 2006.
[19]
László Gulyás: „Choice Dynamics, Influence Networks”, Seminar on Computational Models of Social Systems, ETH (Swiss
Federal Institute of Technology), Institute for International Conflict Research,
Zürich, May 17, 2006.
[20]
Elenna R. Dugundji, László Gulyás: „Socio-Dynamic
Discrete Choice on Networks in
Space: Impacts of Agent Heterogeneity
on Emergent Outcomes”, Agent-based models of market
dynamics and consumer behaviour, University of Surrey,
Institute of Advanced Studies, January 17-18, 2006.
[21] László Laufer, László Gulyás, Richárd Szabó: „An Information Theoretic Approach to Stigmergy: The Case of Foraging Ants”, Conference on Adaptation in Artificial and Biological Systems (AISB’06), Theory and Practice of Social Insect Behavior workshop, University of Bristol, Bristol, England, April 3-6, 2006.
[22]
László Gulyás: “Cooperation
in Networked Populations of Selfish Adaptive Agents: Sensitivity to Network
Structure”, International Workshop on Cooperation in Selfish
Systems incorporating
[23]
László Gulyás: „Statistical Challenges in Agent-Based
Computational Modeling”, Risk Measures & Risk Management for High-Frequency Data, EURANDOM Institute, March 5-8, 2006, Eindhoven,
The Netherlands
[24]
László Gulyás: „Cooperation's Sensitivity to Network Structure:
the Case of Individual Learning”, Trust-Based Networks
and Robustness in Organisations, EXYSTENCE Topical Workshop, ETH (Swiss Federal Institute of Technology), May 2006.
[25]
László Gulyás: „Understanding Emergent
Social Phenomena: Properties and Applications of Agent-Based Modeling”, Colloqium in Philosophy
and History of Science,
[26]
László Gulyás: “Cooperation
in Networked Populations of Selfish Adaptive Agents: Sensitivity to Network
Structure”, Workshop on Social Networks and Complexity, Collegium
[27] László Gulyás: „Robust Networks from Local Optimization: A Bottom-up Model to Generate networks with Skewed Degree Distributions”, NSF-US Hungarian Workshop on Large-Scale Random Graphs, Alfréd Rényi Institute of Mathematics, Budapest, August-September, 2006.
[28] László Gulyás: „Robust Networks from Local Optimization: A Bottom-up Model to Generate networks with Skewed Degree Distributions”, Potentials of Complexity Science for Business, Governments and the Media, Collegium Budapest, Hungary, 2006. augusztus
[29]
Gulyás
László: “Macro Goals and Micro Opportunities: The Connection of Complex
Software Systems and Multi-Agent Simulations”, 9th Congress of the
John von Neumann Computer Society, “Információs
Társadalom – nincs más választás, IX. Országos Neumann Kongresszus, Nemzeti fejlesztés – együtt Európával”,
[30]
Gianni de Fabritis, Juan Antonio de los Cobos, Magali
Charlot, Alex Gómez, Derek Groen, Laszlo Gulyas,
Alfons Hoekstra, Michael
Johnston, George Kampis, Stephen Robinson, Mark Strathern, Martin Swain, Gabor Szemes, Jordi Villa-Freixa: “General report on the requirements for casting
each use cases into a quasi-opportunistic framework”, Deliverable number D3.1
in the QosCosGrid EC FP6 supported STREP.