Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Simulation for the Social Scientist
Simulation for the Social Scientist
Multi-agent based simulation: where are the agents?
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Agent oriented software engineering with INGENIAS
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Visual modeling for complex agent-based simulation systems
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Agent-based simulation replication: a model driven architecture approach
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
A human-centric framework for context-aware flowable services in cloud computing environments
Information Sciences: an International Journal
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This thesis proposal aims to provide a new approach to the study of complex adaptive systems in social sciences through a methodological framework for modeling and simulating these systems like artificial societies. Agent based modeling (ABM) is well fitted for the study of social systems as it focuses on how local interactions among agents generate emergent larger and global social structures and patterns of behavior. The issues addressed by our framework are presented as well as its most important components.