Research in Complex Social Systems needs an integrative approach from Engineering, Social Sciences and Management. Agent Based Modelling and Agent Based Social Simulation provide the framework we have adopted to deal with complex systems. Our main interests are:
Industrial organization: the study of strategic interactions of competing/cooperating firms or agents in different market and regulatory frameworks. This line can provide decision support on issues such as pricing, advertisement, product lines, target quality, response to competitors, alliances or market regulation. These studies are often carried out combining (agent-based) simulation with (evolutionary) game theory and network theory.Enterprise Complex Systems: Governance. Learning and organizational changePolicy Rehearsal and Industry Dynamics.Artificial Economics: Market institutions. Auctions.Artificial intelligence: learning algorithms.
Agent Based Modelling and Agent Based Simulation
Agent based simulations provide a new and exciting avenue. Researches and advisers can compare and explore alternative scenarios and institutional arrangements to evaluate the consequences of policy actions in terms of economic, social and ecological impacts. But as a new field it demands from the modellers a great deal of creativeness, expertise and "wise choice".
Agent based modelling allows us to study the interactions between the individuals and the institutions. The simulation is focused in the dynamics of the processes, more than in the existence of equilibrium. Out of equilibrium dynamics are far more interesting than static equilibrium into which the system could be finally absorbed. Transients are no more difficult to study than equilibria. Agent-agent and agent-environment interactions are at the core of the approach according to simple local rules, dispensing of ex-ante "super-agents" to assure the emergence of equilibrium patterns. Space is distinct from the agent population in contrast with the differential equation models. The agents are heterogeneous and truly individualistic, whereas in mechanistic models one has to assume group behaviour to make the models analytically tractable. They compete in rigour with mechanistic modelling. If the programme is based upon production rules, it will be as internally consistent as it is the logic used. If it is not, it can be checked for internal consistency, before feeding it with the actual model.
Un emergente Centro de Investigación, cuyo objetivo principal es la introducción de modernos métodos matemáticos y computacionales de los sistemas complejos, aplicados a la solución de problemas de salud, utilizando las nuevas tecnologías de la informática y las comunicaciones y propiciando la integración inter y transdisciplinar con profesionales de diversas áreas del conocimiento, en proyectos de investigación dentro del Sistema Nacional de Ciencia e Innovación Tecnológica.
The New England Complex Systems Institute (NECSI) is an independent academic research and educational institution with students, postdoctoral fellows and faculty. In addition to the in-house research team, NECSI has co-faculty, students and affiliates from MIT, Harvard, Brandeis and other universities nationally and internationally.
The ICREA-Complex Systems Lab, part of the Biology Department ofUniversitat Pompeu Fabra/ PRBB and member of the Institut de Biologia Evolutiva. We are an interdisciplinary team exploring the evolution of complex systems, both natural and artificial, searching for their common laws of organization. We do both theoretical and experimental work, closely working in collaboration with the Santa Fe Institute. Our research spans a broad range of areas, including statistical physics of complex sytems,artificial life, biological computation, synthetic, systems and network biology.
"The ISC-PIF (Institut des Systèmes Complexes, Paris Île-de-France – Paris Île-de-France Complex Systems Institute) is a multidisciplinary research and training center which promotes the development of French, European and international strategic projects on complex adaptive systems."
The Center for the Study of Complex Systems (CSCS) is a broadly interdisciplinary program in the College of Literature, Science and the Arts (LSA) at the University of Michigan in Ann Arbor, Michigan. Our mission is to encourage and facilitate research and education in the general area of nonlinear, dynamical and adaptive systems.