Self-adaptation in Autonomic Electronic Institutions through Case-Based Reasoning
Eva Bou, Maite López-Sánchez, Juan A. Rodríguez-Aguilar · 2007
Abstract. Electronic institutions (EIs) define the rules of the game in agent societies by fixing what agents are permitted and forbidden to do and under what circumstances. Autonomic Electronic Institutions (AEIs) adapt their regulations to comply with their goals despite coping with varying populations of self-interested external agents. We present a self-adaptation model based on Case-Based Reasoning (CBR) that allows an AEI to yield a dynamical answer to changing circumstances. In order to demonstrate adaptation empirically, we consider a traffic control scenario where the agent population changes. Within this setting, we demonstrate statistically that an AEI is able to adapt at run-time by means of CBR. 1