Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
AI: the tumultuous history of the search for artificial intelligence
AI: the tumultuous history of the search for artificial intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Neurobionics: An Interdisciplinary Approach to Substitute Impaired Functions of the Human Nervous System
Synergetic Computers & Cognition
Synergetic Computers & Cognition
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
Creating Brain-Like Intelligence
Creating Brain-Like Intelligence
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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.