Underlying computational process of decentralized micro-actions producing language-like output

Determine the underlying computational process by which decentralized, noisy micro-actions reflecting participants’ implicit linguistic predictions aggregate through shared physical interaction with a planchette on an Ouija board to produce structured, language-like emergent outputs. Specify the mechanism that integrates individual agents’ micro-forces into coherent symbol sequences via the board’s physical dynamics.

Background

The paper reviews evidence that haptic interaction and shared control can enhance motor learning and collective decision-making, highlighting how paired participants coordinate through trial-and-error and emergent strategies. However, these perspectives mostly address physical movement and social dynamics, not the computational integration of implicit linguistic knowledge.

Motivated by this gap, the authors propose CoCre-Sam, a framework modeling Ouija board dynamics as collective Langevin sampling from fused language-model-derived energy landscapes. The open question pinpoints the need to formally identify the computational process that maps decentralized micro-actions into structured linguistic outputs.