László Gulyás (Ph.D. in Computer Science) is assistant professor at the
Department of History and Philosophy of Science,
Lorand Eotvos University, Budapest.
He is also a research partner at AITIA International Inc
and a fellow at Collegium Budapest (Institute for Advanced Study).
He is a member of the Scientific Advisory Board of the Simulation Center of the Informatics Cooperative
Research and Education Center of the Eötvös Loránd University.
three semesters at Harvard
University's Government Department and at the Center for Basic Research in the
Social Sciences (CBRSS) as a research associate.
He has been doing research on agent-based modeling and multi-agent systems
since 1996. He leads the development of the Multi-Agent Simulation
Suite (MASS) and the Functional Agent-Based Language for Simulations (FABLES) In the past, he has led the development
of the Multi-Agent Modeling Language (MAML), the first special purpose
programming language for agent-based simulation. He also contributed to the design and development of RePast, one of the leading second generation agent-based simulation
environments. He's been involved in teaching both graduate and undergraduate level courses in agent-based
modeling and simulation at Harvard University, at the Central-European University and at the Eötvös Loránd
University, Hungary. He co-directed the Complex Systems and Social Simulation summer school at the Central
European University's Summer University, Budapest, 2008, and was also a faculty member at the 2002 Budapest Complex Systems Summer School organized by the Santa Fe Institute.
Dr. Gulyás has authored several
book chapters (5+) and journal articles (10+), and published many conference papers (50+). He participated in
6 international research consortia under the European Commission's 6th and 7th Framework Programmes and was
project leader or participant in 6 R&D projects funded by the Hungarian Government.
Dr. Gulyás is a graduate of
the Eötvös Loránd University, Hungary,
from where he received his PhD, MSc and BSc degrees, all in Computer Science.
His main research interests
are computational multi-agent systems where he has worked on
'engineering' desired emergent phenomena. He is currently working on
agent-based models of social