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Unconventional Computation and Natural Computation

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Cover of 'Unconventional Computation and Natural Computation'

Table of Contents

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    Book Overview
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    Chapter 1 The Holy Grail: Finding the Genetic Bases of Phenotypic Characters
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    Chapter 2 Inductive Complexity of P versus NP Problem
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    Chapter 3 Advances in Embryomorphic Engineering
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    Chapter 4 Reasoning As Though
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    Chapter 5 Universality and the Halting Problem for Cellular Automata in Hyperbolic Spaces: The Side of the Halting Problem
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    Chapter 6 An Introduction to Tile-Based Self-assembly
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    Chapter 7 Spatial Computing in MGS
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    Chapter 8 Unconventional Computation and Natural Computation
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    Chapter 9 P Systems with Minimal Left and Right Insertion and Deletion
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    Chapter 10 Lower Bounds on the Complexity of the Wavelength-Based Machine
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    Chapter 11 String Matching with Involutions
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    Chapter 12 Distributed Execution of Automata Networks on a Computing Medium: Introducing IfAny Machines
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    Chapter 13 Symbol Representations in Evolving Droplet Computers
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    Chapter 14 Inductive Complexity of Goodstein’s Theorem
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    Chapter 15 Towards a Biomolecular Learning Machine
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    Chapter 16 Tractional Motion Machines: Tangent-Managing Planar Mechanisms as Analog Computers and Educational Artifacts
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    Chapter 17 Computing with Sand: On the Complexity of Recognizing Two-dimensional Sandpile Critical Configurations
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    Chapter 18 Genome Parameters as Information to Forecast Emergent Developmental Behaviors
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    Chapter 19 Heterotic Computing Examples with Optics, Bacteria, and Chemicals
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    Chapter 20 Reliable Node Placement in Wireless Sensor Networks Using Cellular Automata
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    Chapter 21 Robust Evaluation of Expressions by Distributed Virtual Machines
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    Chapter 22 Numerical Evaluation of the Average Number of Successive Guesses
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    Chapter 23 Discrete Discs and Broadcasting Sequences
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    Chapter 24 Optical Analog Feedback in Euglena-Based Neural Network Computing
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    Chapter 25 Unconventional Computation and Natural Computation
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    Chapter 26 Towards a Theory of Self-constructing Automata
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    Chapter 27 Flower Pollination Algorithm for Global Optimization
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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