Titlebook: A Generative Theory of Shape; Michael Leyton Book 2001 Springer-Verlag Berlin Heidelberg 2001 Complex Shape.Computer Vision.Editing.Erlang

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https://doi.org/10.1007/978-3-642-20744-0We now need to invent one final class of unfolding groups, in order to deal with an important remaining type of asymmetry (complexity) that can occur in shape generation. These groups will be called . unfoldings because they wreath sub-append some group below a selected component in a level.

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Thomas Sonderegger,Simon HartmannThe techniques developed in this chapter are relevant to all areas of shape representation from human perception to quantum mechanics, and therefore this chapter should not be omitted by the reader.

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https://doi.org/10.1007/978-3-658-10120-6According to our generative theory, a shape is a frozen machine, which can be converted into an active machine using the recovery rules, so that the agent can self-substitute into the machine and thereby use the shape for plans; e.g., for design, manufacturing, manipulation, navigation, etc.

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Akzeptanz von Enterprise Mobility disciplines, as well as the physical sciences. This is achieved by requiring the generative theory to satisfy the following two criteria which we will regard as fundamental to . and . behavior: .. Any agent is regarded as displaying intelligence and insight when it is able to . actions used in prev

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https://doi.org/10.1007/978-3-658-37480-8case. In the latter case, the transfer automorphism is, itself, a multi-level structure in which transfer is going on within several layers simultaneously. This will become fundamental for example to understanding robotics, where limbs are being transferred simultaneously in several levels, or perce

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Forschungsfragen und Hypothesen,ed intelligently. This theory is equally applicable to perceptual systems as it is to motor systems. In the present chapter, we apply this theory to motor systems. We will return to this topic a number of times in the book to develop it further, e.g., in Chapter 14 on mechanical design.

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