AIMC Topic: Biological Evolution

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DNA is not an ontologically distinctive developmental cause.

Studies in history and philosophy of biological and biomedical sciences Dec 30, 2019
In this article I critically evaluate the thesis that DNA is an ontologically distinctive developmental cause. I shall critically analyse different versions of the latter thesis by taking into consideration concrete developmental cases. I shall argue...
DNA Biological Evolution Metaphysics Developmental Biology Biological Ontologies
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Phase transitions of brain evolution that produced human language and beyond.

Neuroscience research Nov 27, 2019
The brain capacity of human ancestors underwent two phase transitions, which were supported by preadaptations during the animal protolanguage period, resulting in the emergence of human language. The transitions were (1) the emergence of the primate ...
Humans Biological Evolution Language Primates Artificial Intelligence Brain Animals
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Reprint of: Analysis of an evolutionary algorithm for complex fuzzy cognitive map learning based on graph theory metrics and output concepts.

Bio Systems Nov 23, 2019
The fuzzy cognitive map (FCM) is an effective tool for modeling dynamic decision support systems. It describes the analyzed phenomenon in the form of key concepts and the causal connections between them. The main aspects of the building of the FCM mo...
Biological Evolution Models, Theoretical Fuzzy Logic Algorithms Cognition
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Intelligent architectures for robotics: The merging of cognition and emotion.

Physics of life reviews Oct 22, 2019
What is the place of emotion in intelligent robots? In the past two decades, researchers have advocated for the inclusion of some emotion-related components in the general information processing architecture of autonomous agents, say, for better comm...
Cognition Emotions Humans Brain Executive Function Robotics Biological Evolution
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Combining evolution and self-organization to find natural Boolean representations in unconventional computational media.

Bio Systems Jul 29, 2019
Designing novel unconventional computing systems often requires the selection of the computational structure as well as choosing the right symbol encoding. Several approaches apply heuristic search and evolutionary algorithms to find both computation...
Computational Biology Models, Theoretical Logic Biological Evolution Computer Simulation Feedback Neural Networks, Computer Algorithms
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Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes.

Evolutionary computation May 23, 2019
Selection hyper-heuristics (HHs) are randomised search methodologies which choose and execute heuristics during the optimisation process from a set of low-level heuristics. A machine learning mechanism is generally used to decide which low-level heur...
Machine Learning Algorithms Computer Simulation Search Engine Biological Evolution Computer Heuristics
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A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems.

Neural networks : the official journal of the International Neural Network Society May 4, 2019
This paper presents a framework for estimating the remaining useful life (RUL) of mechanical systems. The framework consists of a multi-layer perceptron and an evolutionary algorithm for optimizing the data-related parameters. The framework makes use...
Databases, Factual Neural Networks, Computer Neurons Algorithms Linear Models Biological Evolution
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Interactive biomedical ontology matching.

PloS one Apr 17, 2019
Due to continuous evolution of biomedical data, biomedical ontologies are becoming larger and more complex, which leads to the existence of many overlapping information. To support semantic inter-operability between ontology-based biomedical systems,...
Semantics Phenotype Health Information Interoperability Humans Biological Ontologies Biological Evolution Quality Control Algorithms
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Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming.

Evolutionary computation Mar 22, 2019
The convolutional neural network (CNN), one of the deep learning models, has demonstrated outstanding performance in a variety of computer vision tasks. However, as the network architectures become deeper and more complex, designing CNN architectures...
Datasets as Topic Biological Evolution Algorithms Deep Learning Neural Networks, Computer
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Analysis of an evolutionary algorithm for complex fuzzy cognitive map learning based on graph theory metrics and output concepts.

Bio Systems Feb 24, 2019
The fuzzy cognitive map (FCM) is an effective tool for modeling dynamic decision support systems. It describes the analyzed phenomenon in the form of key concepts and the causal connections between them. The main aspects of the building of the FCM mo...
Learning Cognition Humans Algorithms Biological Evolution Fuzzy Logic Computer Graphics
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