The Chameleon Systems: A new Approach in Anticipatory based Decision Making Systems with Application to Electricity Markets

In today’s digital world decision making systems play an essential role in various aspects of people’s lives. The volume and velocity of generated information has significantly expanded, thus, imposing decisions by humans a highly challenging task. To that end, artificial intelligence tools offers a variety of solutions for developing autonomous systems that make optimal decisions in information rich environments. This paper introduces a new type of intelligent decision-making systems called the Chameleon systems. The Chameleon systems aspires in providing efficient and decisions by adapting to the environment of the system. Their implementation is based on the concept of anticipatory systems integrated with multiple kernel machines that mimic through data properties the system’s environment. An implementation of the Chameleon system is applied for making purchase decisions in data-rich electricity markets.