Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
From empirical data to mathematical model: using population dynamics to characterize insurgencies
Proceedings of the 2007 Summer Computer Simulation Conference
Artificial Intelligence: A Systems Approach
Artificial Intelligence: A Systems Approach
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The Social Sciences study human aspects of society (history, culture, religion, language, etc.) using scientific methods that include quantitative and qualitative approaches to research. A good tool for examining global events is agent-based modeling because this paradigm facilitates the representation of emergent behaviors of actors in a complex system, and it allows for an observation of the evolution of that system over time. Agent-based modeling is intrinsically social in that the actions and characteristics of the Agents are influenced by the actions and characteristics of the other Agents in the social system. This, in turn, calls attention to the developing the key component: the Agent. This study proposes a Social Sciences methodology to objectively personify Agents and it provides a demonstration of Agent personification can facilitate a more incisive look at Agent behavior.