CASOS Publication
"Plural-Soar: a Prolegomenon to Artificial Agents and Organizational Behavior" (PDF file)
Authors: Kathleen Carley, Johan Kjaer-Hansen, Allen Newell & Michael Prietula

Abstract
We show how artificial intelligence (AI) can be applied to the study of organizations. Specifically, we construct an AI model of a small organization in which intelligent agents communicate and cooperate to accomplish a task. The task involves filling orders by retrieving items stored at various locations in a warehouse. Each agent is represented on its own computer using a sophisticated software architecture (called Soar) that is capable of serving as a basis for general intelligence and learning from experience. To frame this research we focus on this question: do the communication and memory capabilities of the agent affect which coordination scheme is most effective? We find that increasing agents' capabilities can, under certain conditions, actually degrade organizational performance.