Robosemantics: How Stanley the volkswagen represents the world [Book Review]

Minds and Machines 18 (2):169-178 (2008)
One of the most impressive feats in robotics was the 2005 victory by a driverless Volkswagen Touareg in the DARPA Grand Challenge. This paper discusses what can be learned about the nature of representation from the car’s successful attempt to navigate the world. We review the hardware and software that it uses to interact with its environment, and describe how these techniques enable it to represent the world. We discuss robosemantics, the meaning of computational structures in robots. We argue that the car constitutes a refutation of semantic arguments against the possibility of strong artificial intelligence.
Keywords Robotics  Representation  Semantics  Intentionality  Bayesian networks
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DOI 10.1007/s11023-008-9098-2
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References found in this work BETA
John R. Searle (1980). Minds, Brains and Programs. Behavioral and Brain Sciences 3 (3):417-57.

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Eric Hochstein (2013). Intentional Models as Essential Scientific Tools. International Studies in the Philosophy of Science 27 (2):199-217.
Michael Rescorla (2014). The Causal Relevance of Content to Computation. Philosophy and Phenomenological Research 88 (1):173-208.
Paul Thagard (2013). Thought Experiments Considered Harmful. Perspectives on Science 22 (2):122-139.

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