2009 Special Issue: Neural associative memories for the integration of language, vision and action in an autonomous agent

Authors:
H. Markert;U. Kaufmann;Z. Kara Kayikci;G. Palm
Affiliations:
Institute of Neural Information Processing, University of Ulm, 89069 Ulm, Germany;Institute of Neural Information Processing, University of Ulm, 89069 Ulm, Germany;Institute of Neural Information Processing, University of Ulm, 89069 Ulm, Germany;Institute of Neural Information Processing, University of Ulm, 89069 Ulm, Germany
Venue:
Neural Networks
Year:
2009

Citing 2
Cited 2

Fundamentals of speech recognition

Fundamentals of speech recognition
Neural Assemblies, an Alternative Approach to Artificial Intelligence

Neural Assemblies, an Alternative Approach to Artificial Intelligence

Introduction: Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics

Neural Networks
A neural mechanism for human language processing

Neurocomputing

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Abstract

Language understanding is a long-standing problem in computer science. However, the human brain is capable of processing complex languages with seemingly no difficulties. This paper shows a model for language understanding using biologically plausible neural networks composed of associative memories. The model is able to deal with ambiguities on the single word and grammatical level. The language system is embedded into a robot in order to demonstrate the correct semantical understanding of the input sentences by letting the robot perform corresponding actions. For that purpose, a simple neural action planning system has been combined with neural networks for visual object recognition and visual attention control mechanisms.