Cognitive adequacy in brain-like intelligence

Abstract

A variety of disciplines have dealt with the design of intelligent algorithms - among them Artificial Intelligence and Robotics. While some approaches were very successful and have yielded promising results, others have failed to do so which was - at least partly - due to inadequate architectures and algorithms that were not suited to mimic the behavior of biological intelligence. Therefore, in recent years, a quest for "brain-like" intelligence has arosen. Soft- and hardware are supposed to behave like biological brains - ideally like the human brain. This raises the questions of what exactly defines the attribute "brain-like", how can the attribute be implemented and how tested. This chapter suggests the concept of cognitive adequacy in order to get a rough estimate of how "brain-like" an algorithm behaves. © Springer-Verlag Berlin Heidelberg 2009.