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  Towards Artificial Systems: What Can We Learn From Human Perception?

Bülthoff, H. (2011). Towards Artificial Systems: What Can We Learn From Human Perception?. Talk presented at Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11), Twenty-Third Conference on Innovative Applications of Artificial Intelligence (IAAI-11), Second Symposium on Educational, Advances in Artificial Intelligence (EAAI-11). San Francisco, CA, USA. 2011-08-07 - 2011-08-11.

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Bülthoff, HH1, 2, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Recent progress in learning algorithms and sensor hardware has led to rapid advances in artificial systems. However, their performance continues to fall short of the efficiency and plasticity of human behavior. In many ways, a deeper understanding of how humans process and act upon physical sensory information can contribute to the development of better artificial systems. In this presentation, Buelthoff will highlight how the latest tools in computer vision, computer graphics, and virtual reality technology can be used to systematically understand the factors that determine how humans behave and solve tasks in realistic scenarios.

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 Dates: 2011-08
 Publication Status: Issued
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 Identifiers: BibTex Citekey: Bulthoff2011_4
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Title: Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11), Twenty-Third Conference on Innovative Applications of Artificial Intelligence (IAAI-11), Second Symposium on Educational, Advances in Artificial Intelligence (EAAI-11)
Place of Event: San Francisco, CA, USA
Start-/End Date: 2011-08-07 - 2011-08-11
Invited: Yes

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Title: Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11), Twenty-Third Conference on Innovative Applications of Artificial Intelligence (IAAI-11), Second Symposium on Educational, Advances in Artificial Intelligence (EAAI-11)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 6 Identifier: -