The paper surveys the evaluation approaches used in AGI research, and argues that the proper way of evaluation is to combine empirical comparison with human intelligence and theoretical analysis of the assumptions and implications of the AGI models. Approaches of Evaluation In recent years, the problem of evaluation is getting more and more attention in the field of Artificial General Intelligence, or AGI (GB09; LIIL09; LGW09; MAP + 09; Was09). Though the evaluation of research results is important in any field of scientific research, the problem has special difficulty in the current context of AGI, since the research activities belong to many different paradigms, and there seems to be no “neutral”