Nature and computational dynamics of generative collective intelligence in Ouija board interactions

Characterize the nature of generative collective intelligence observed during Ouija board sessions by determining how decentralized, implicit linguistic knowledge across multiple participants is fused through shared planchette motion to yield coherent emergent outputs, and derive the computational dynamics that enable this knowledge fusion to occur.

Background

The Ouija/Kokkuri-san phenomenon produces coherent messages seemingly unintended by any single participant. Psychological explanations like the ideomotor effect account for movement but not the generative, structured nature of the outputs.

The authors frame the phenomenon as a form of generative collective intelligence and argue that a computational account is needed to explain how distributed linguistic priors are integrated to produce coherent sequences. This motivates their CoCre-Sam framework, which models emergent outputs as sampling from a fused energy landscape across agents.