Documentation
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Index ¶
- func MorphologicalComputationA(pw2a1w1 [][][]float64) float64
- func MorphologicalComputationCA(pw2w1, pw2a1 [][]float64) float64
- func MorphologicalComputationIN(pa1s1 [][]float64, abins int) float64
- func MorphologicalComputationIntrinsicCA(ps2s1a1 [][][]float64, sbins int) float64
- func MorphologicalComputationIntrinsicCW(ps2s1a1 [][][]float64) (r float64)
- func MorphologicalComputationMI(pw2w1 [][]float64, pa1s1 [][]float64) float64
- func MorphologicalComputationSY(pw2w1a1 [][][]float64, iterations int, eta bool) float64
- func MorphologicalComputationSyNid(pw2w1a1 [][][]float64, iterations int, eta bool) float64
- func MorphologicalComputationW(pw2w1a1 [][][]float64) float64
- func MorphologicalComputationWA(pw2w1a1 [][][]float64) float64
- func MorphologicalComputationWS(pw2w1s1 [][][]float64) float64
- func MorphologicalComputationWp(pw2w1a1 [][][]float64, iterations int, eta bool) float64
Constants ¶
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Variables ¶
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Functions ¶
func MorphologicalComputationA ¶
MorphologicalComputationA quantifies morphological computation as the information that is contained in A about W' that is not contained in W. For more details, please read K. Zahedi and N. Ay. Quantifying morphological computation. Entropy, 15(5):1887–1915, 2013. http://www.mdpi.com/1099-4300/15/5/1887 (open access)
func MorphologicalComputationCA ¶
MorphologicalComputationCA quantifies morphological computation as the causal information flow from W to W' that does pass through A MorphologicalComputationCA = CIF(W -> W') - CIF(A -> W') = I(W';W) - I(W'|A)
func MorphologicalComputationIN ¶
MorphologicalComputationIN quantifies morphological computation as the in-sourcable complexity of the world process.
func MorphologicalComputationIntrinsicCA ¶
MorphologicalComputationIntrinsicCA [...] For more details, please read K. Zahedi and N. Ay. Quantifying morphological computation. Entropy, 15(5):1887–1915, 2013. http://www.mdpi.com/1099-4300/15/5/1887 (open access)
func MorphologicalComputationIntrinsicCW ¶
MorphologicalComputationIntrinsicCW [...] For more details, please read K. Zahedi and N. Ay. Quantifying morphological computation. Entropy, 15(5):1887–1915, 2013. http://www.mdpi.com/1099-4300/15/5/1887 (open access)
func MorphologicalComputationMI ¶
MorphologicalComputationMI quantifies morphological computation as the information that is contained in W about W' that is not contained in A. For more details, please read K. Ghazi-Zahedi, D. F. Haeufle, G. F. Montufar, S. Schmitt, and N. Ay. Evaluating morphological computation in muscle and dc-motor driven models of hopping movements. Frontiers in Robotics and AI, 3(42), 2016. http://journal.frontiersin.org/article/10.3389/frobt.2016.00042/full (open access)
func MorphologicalComputationSY ¶
MorphologicalComputationSY quantifies morphological computation as the synergistic information that W and A contain about W'. For more details, please read TODO Paper reference
func MorphologicalComputationSyNid ¶
MorphologicalComputationSyNid quantifies morphological computation as the synergistic information that W and A contain about W', excluding the input distribution (W,A). For more details, please read TODO Paper reference
func MorphologicalComputationW ¶
MorphologicalComputationW quantifies morphological computation as the information that is contained in W about W' that is not contained in A. For more details, please read K. Zahedi and N. Ay. Quantifying morphological computation. Entropy, 15(5):1887–1915, 2013. http://www.mdpi.com/1099-4300/15/5/1887 (open access) and K. Ghazi-Zahedi, D. F. Haeufle, G. F. Montufar, S. Schmitt, and N. Ay. Evaluating morphological computation in muscle and dc-motor driven models of hopping movements. Frontiers in Robotics and AI, 3(42), 2016. http://journal.frontiersin.org/article/10.3389/frobt.2016.00042/full (open access)
func MorphologicalComputationWA ¶
MorphologicalComputationWA = I(W;{W,A}) - I(W';A)
func MorphologicalComputationWS ¶
MorphologicalComputationWS = I(W;{W,S}) - I(W';S)
func MorphologicalComputationWp ¶
MorphologicalComputationWp calculates the unique information W -> W'. For more details, please see Ghazi-Zahedi, Keyan and Langer, Carlotta and Ay, Nihat, Morphological Computation: Synergy of Body and Brain, Entropy, 2017
Types ¶
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