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Methods, Madness, and Multi-Agent AI

The construction of computer models has become an increasingly useful, and popular, way of testing theories in the cognitive sciences. This paper intends to give a brief overview of the methods for testing computer models for not only efficiency, but also for appropriateness. Examples will focus on theoretical continuity, stress testing, and data replication. Special focus will be given to its application to data gathered in the field and when social multi-agent AI may be less appropriate than other forms of computer modeling/AI within the sub-field of the cognitive science of religion. Of particular interest will be how to spot and combat “garbage in-garbage out” modeling and what measures should be taken to negotiate the inverse relationship between specificity and ecological validity of computer models. This paper will present critiques of models that have already been developed as well as those still in development and how close attention to both method and theory allow for computer modeling to supplement the toolbox of cognitive scientists interested in human social phenomena.

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