International Journal of Robotics Research
Intelligence without representation
Artificial Intelligence
Embedded neural networks: exploiting constraints
Neural Networks - Special issue on neural control and robotics: biology and technology
Understanding intelligence
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
Being There: Putting Brain, Body, and World Together Again
Being There: Putting Brain, Body, and World Together Again
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
Robot Navigation by Combining Central and Peripheral Optical Flow Detection on a Space-Variant Map
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
The cog project: building a humanoid robot
Computation for metaphors, analogy, and agents
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In the early days of artificial intelligence the focus was on abstract thinking and problem solving. These phenomena could be naturally mapped onto algorithms, which is why originally artificial intelligence was considered to be part of computer science. Over time, it turned out that this view was too limited to understand natural forms of intelligence and that embodiment must be taken into account. As a consequence the focus changed to systems that are able to autonomously interact with their environment. The major implications of embodiment, dynamical and information theoretic, are illustrated in a number of case studies. Two grand challenges, evolving grounded intelligence and exploring ecological balance, i.e. the relation between task environment, morphology, materials, and control in an artificial organism, are discussed.