Our understanding of the neuronal and molecular basis of alcohol addiction is still not satisfactory. As a consequence we still miss successful therapy of alcoholism. One of the reasons for such state is the lack of appropriate animal models which would allow in-depth analysis of biological basis of addiction. Here we will present our efforts to create the animal model of alcohol addiction in the automated learning device, the IntelliCage setup. Applying this model to optogenetically modified mice with remotely controlled regulation of selected neuronal populations by light may lead to very precise identification of neuronal circuits involved in coding addiction-related behaviors.