Theory and Practice of Natural Computing

Table of Contents

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   Book Overview
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   Chapter 1 Explainable AI and Fuzzy Logic Systems
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   Chapter 2 Computing Preimages and Ancestors in Reaction Systems
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   Chapter 3 Poisson Equation Solution and Its Gradient Vector Field to Geometric Features Detection
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   Chapter 4 Self-organised Aggregation in Swarms of Robots with Informed Robots
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   Chapter 5 Spatial Types: A Scheme for Specifying Complex Cellular Automata to Explore Artificial Physics
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   Chapter 6 Application of STRIM to Datasets Generated by Partial Correspondence Hypothesis
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   Chapter 7 Multi-party Computation Based on Physical Coins
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   Chapter 8 Patterns and Their Interaction in Excitable Media on Face-Centered Cubic Lattice
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    Chapter 9 Graph Minors from Simulated Annealing for Annealing Machines with Sparse Connectivity
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    Chapter 10 Gaussian-kernel c-means Clustering Algorithms
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    Chapter 11 A Linear Constrained Optimization Benchmark for Probabilistic Search Algorithms: The Rotated Klee-Minty Problem
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    Chapter 12 The Design of (Almost) Disjunct Matrices by Evolutionary Algorithms
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    Chapter 13 How the “Baldwin Effect” Can Guide Evolution in Dynamic Environments
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    Chapter 14 Landscape-Aware Constraint Handling Applied to Differential Evolution
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    Chapter 15 Fuel Efficient Truck Platooning with Time Restrictions and Multiple Speeds Solved by a Particle Swarm Optimisation
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    Chapter 16 Automated Design of Genetic Programming Classification Algorithms for Financial Forecasting Using Evolutionary Algorithms
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    Chapter 17 Optimizing Fleet Staging of Air Ambulances in the Province of Ontario
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    Chapter 18 A Hierarchical Approach to Grammar-Guided Genetic Programming: The Case of Scheduling in Heterogeneous Networks
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    Chapter 19 Multi-memetic Mind Evolutionary Computation Algorithm Based on the Landscape Analysis
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    Chapter 20 DNA-Guided Assembly of Nanocellulose Meshes
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    Chapter 21 Classically Time-Controlled Quantum Automata
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    Chapter 22 Mortal Organisms Rescue Immortal Organisms from Evolutionary Inertness: Perspective of the Programmed Self-decomposition Model
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    Chapter 23 Integrative Biological, Cognitive and Affective Modeling of a Drug-Therapy for a Post-traumatic Stress Disorder
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    Chapter 24 Symbolic Analysis of Machine Behaviour and the Emergence of the Machine Language
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    Chapter 25 It Is Time to Dissolve Old Dichotomies in Order to Grasp the Whole Picture of Cognition
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    Chapter 26 Network-Oriented Modeling of the Interaction of Adaptive Joint Decision Making, Bonding and Mirroring
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    Chapter 27 Network Reification as a Unified Approach to Represent Network Adaptation Principles Within a Network
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    Chapter 28 Relating an Adaptive Network’s Structure to Its Emerging Behaviour for Hebbian Learning
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    Chapter 29 On Capacity with Incremental Learning by Simplified Chaotic Neural Network
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    Chapter 30 Tighter Guarantees for the Compressive Multi-layer Perceptron
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    Chapter 31 Information-Theoretic Self-compression of Multi-layered Neural Networks
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    Chapter 32 Radial Basis Function Networks Simulation of Age-Structure Population
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    Chapter 33 Bio-Inspired Spiking Neural Networks for Facial Expression Recognition: Generalisation Investigation
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    Chapter 34 Novel Ensembling Methods for Dermatological Image Classification
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    Chapter 35 SemVec: Semantic Features Word Vectors Based Deep Learning for Improved Text Classification
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    Chapter 36 Three Analog Neurons Are Turing Universal