Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation

Elmar Rückert; Gerhard Neumann

doi:10.1162/ARTL_a_00085

Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation

Elmar Rückert, Gerhard Neumann

Institute of Theoretical Computer Science (7080)

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	115-131
Journal	Artificial Life
Volume	19
Issue number	1
DOIs	https://doi.org/10.1162/ARTL_a_00085
Publication status	Published - 2012

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)

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10.1162/ARTL_a_00085

Cite this

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title = "Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation",

author = "Elmar R{\"u}ckert and Gerhard Neumann",

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T1 - Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation

AU - Rückert, Elmar

AU - Neumann, Gerhard

PY - 2012

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UR - http://dx.doi.org/10.1162/ARTL_a_00085

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DO - 10.1162/ARTL_a_00085

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SP - 115

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JO - Artificial Life

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IS - 1

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Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

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Cite this