Case-based Local and Global Percept Processing for Rebel Agents

Rebel Agents are goal-reasoning agents capable of "refusing" a user- given goal, plan, or subplan that conflicts with the agent's own internal motiva- tion. Rebel Agents are intended to enhance character believability, a key aspect of creating engaging narratives in any medium, among other possible uses. We propose to implement and expand upon a Rebel Agent prototype in eBotworks, a cognitive agent framework and simulation platform. To do so, we will make use of (1) a case-based reasoning approach to motivation-discrepancy-percep- tion, and (2) user input for creating the agents' "emotional baggage" potentially sparking "rebellion".