Nalar, a Simulator for Decisions Under Pressure

Field notes

Nalar describes a document-grounded workflow in which users first review the parties extracted from their material before simulation begins. Those parties then act across a microblog and forum, with feed delivery, memory, and interaction history carried between rounds. The example tests a 20% price increase over 12 rounds and measures opposition among customers, partners, and competitors. Its proposed reports link claims to source excerpts or simulated posts, while excluded or user-added parties remain marked.