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Unconventional Computation and Natural Computation

Overview of attention for book
Cover of 'Unconventional Computation and Natural Computation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Asymptotic Dynamics of (Some) Asyncronous Cellular Automata
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    Chapter 2 Processes Inspired by the Functioning of Living Cells: Natural Computing Approach
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    Chapter 3 Unconventional Computation and Natural Computation
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    Chapter 4 Size Lower Bounds for Quantum Automata
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    Chapter 5 Population Protocols on Graphs: A Hierarchy
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    Chapter 6 Spectral Representation of Some Computably Enumerable Sets with an Application to Quantum Provability
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    Chapter 7 On the Power of P Automata
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    Chapter 8 Array Insertion and Deletion P Systems
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    Chapter 9 Boolean Logic Gates from a Single Memristor via Low-Level Sequential Logic
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    Chapter 10 Light Ray Concentration Reduces the Complexity of the Wavelength-Based Machine on PSPACE Languages
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    Chapter 11 Small Steps toward Hypercomputation via Infinitary Machine Proof Verification and Proof Generation
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    Chapter 12 Secure Information Transmission Based on Physical Principles
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    Chapter 13 Hypergraph Automata: A Theoretical Model for Patterned Self-assembly
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    Chapter 14 Modeling Heart Pacemaker Tissue by a Network of Stochastic Oscillatory Cellular Automata
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    Chapter 15 Reaction Systems Made Simple
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    Chapter 16 Voting with a Logarithmic Number of Cards
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    Chapter 17 Asynchronous Signal Passing for Tile Self-assembly: Fuel Efficient Computation and Efficient Assembly of Shapes
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    Chapter 18 Control Languages Associated with Tissue P Systems
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    Chapter 19 Geometric Methods for Analysing Quantum Speed Limits: Time-Dependent Controlled Quantum Systems with Constrained Control Functions
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    Chapter 20 Numerical Analysis of Quantum Speed Limits: Controlled Quantum Spin Chain Systems with Constrained Control Functions
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    Chapter 21 Combinatorial Optimization in Pattern Assembly
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    Chapter 22 Towards Computation with Microchemomechanical Systems
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    Chapter 23 Evolutionary Programming Using Distribution-Based and Differential Mutation Operators
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    Chapter 24 A P System Parsing Word Derivatives
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    Chapter 25 Computational Power of Protein Interaction Networks
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    Chapter 26 Towards an All-Optical Soliton FFT in the 3NLS-Domain
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    Chapter 27 Quantum Random Active Element Machine
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    Chapter 28 Simulating Metabolic Processes Using an Architecture Based on Networks of Bio-inspired Processors
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    Chapter 29 On String Reading Stateless Multicounter 5′ → 3′ Watson-Crick Automata
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    Chapter 30 Relating Transition P Systems and Spiking Neural P Systems
Attention for Chapter 11: Small Steps toward Hypercomputation via Infinitary Machine Proof Verification and Proof Generation
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About this Attention Score

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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Chapter title
Small Steps toward Hypercomputation via Infinitary Machine Proof Verification and Proof Generation
Chapter number 11
Book title
Unconventional Computation and Natural Computation
Published in
Lecture notes in computer science, July 2013
DOI 10.1007/978-3-642-39074-6_11
Book ISBNs
978-3-64-239073-9, 978-3-64-239074-6
Authors

Govindarajulu, Naveen Sundar, Licato, John, Bringsjord, Selmer, Naveen Sundar Govindarajulu, John Licato, Selmer Bringsjord

Editors

Giancarlo Mauri, Alberto Dennunzio, Luca Manzoni, Antonio E. Porreca

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 August 2017.
All research outputs
#13,921,200
of 22,766,595 outputs
Outputs from Lecture notes in computer science
#4,264
of 8,125 outputs
Outputs of similar age
#107,250
of 194,720 outputs
Outputs of similar age from Lecture notes in computer science
#53
of 130 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 194,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.