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Autor O'Neill, Michael |
Documentos disponibles escritos por este autor (3)
Crear una solicitud de compra Refinar búsqueda7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings / Fagan, David ; MartÃn-Vide, Carlos ; O'Neill, Michael ; Vega-RodrÃguez, Miguel A.
TÃtulo : 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings Tipo de documento: documento electrónico Autores: Fagan, David, ; MartÃn-Vide, Carlos, ; O'Neill, Michael, ; Vega-RodrÃguez, Miguel A., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XII, 474 p. 155 ilustraciones, 100 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-04070-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Algoritmos Inteligencia artificial Red de computadoras Redes de comunicación informática Clasificación: 518.1 Resumen: Este libro constituye las actas arbitradas de la 7.ª Conferencia Internacional sobre TeorÃa y Práctica de la Computación Natural, TPNC 2017, celebrada en DublÃn, Irlanda, en diciembre de 2018. Los 35 artÃculos completos presentados en este libro, junto con una charla invitada, fueron revisados ​​cuidadosamente. y seleccionado entre 69 presentaciones. Los artÃculos se organizan en torno a las siguientes secciones temáticas: aplicaciones de la computación natural como algoritmos, bioinformática, control, criptografÃa, diseño, economÃa. Las contribuciones más teóricas manejan con quÃmica artificial, sistemas inmunológicos artificiales, vida artificial, autómatas celulares, computación cognitiva, ingenierÃa cognitiva, robótica cognitiva, comportamiento colectivo, sistemas complejos, inteligencia computacional, ciencia social computacional, computación con palabras, sistemas de desarrollo, computación con ADN. , nanotecnologÃa de ADN, algoritmos evolutivos, computación evolutiva, teorÃa de juegos evolutiva, geometrÃa fractal, control difuso, lógica difusa, conjuntos difusos, sistemas difusos, algoritmos genéticos, programación genética, computación granular, heurÃstica, agentes inteligentes, sistemas inteligentes, inteligencia artificial, molecular programación, computación neuronal, redes neuronales, comunicación cuántica, computación cuántica, conjuntos preliminares, autoensamblaje. Nota de contenido: Explainable AI and Fuzzy Logic Systems -- Computing Preimages and Ancestors in Reaction Systems -- Poisson Equation Solution and Its Gradient Vector Field to Geometric Features Detection -- Self-organised Aggregation in Swarms of Robots with Informed Robots -- Spatial Types: a Scheme for Specifying Complex Cellular Automata to Explore Artificial Physics -- Application of STRIM to Datasets Generated by Partial Correspondence Hypothesis -- Multi-party Computation Based on Physical Coins -- Patterns and Their Interaction in Excitable Media on Face-centered Cubic Lattice -- Graph Minors from Simulated Annealing for Annealing Machines with Sparse Connectivity -- Gaussian-kernel c-means Clustering Algorithms -- A Linear Constrained Optimization Benchmark for Probabilistic Search Algorithms: the Rotated Klee-Minty Problem -- The Design of (Almost) Disjuct Matrices by Evolutionary Algorithms -- Landscape-aware Constraint Handling Applied to Differential Evolution -- Fuel Efficient Truck Platooning withTime Restrictions and Multiple Speeds Solved by a Particle Swarm Optimisation -- Automated Design of Genetic Programming Classification Algorithms for Financial Forecasting Using Evolutionary Algorithms -- Optimizing Fleet Staging of Air Ambulances in the Province of Ontario -- A Hierarchical Approach to Grammar-guided Genetic Programming: the Case of Scheduling in Heterogeneous Networks -- Multi-memetic Mind Evolutionary Computation Algorithm Based on the Landscape Analysis -- DNA-guided Assembly of Nanocellulose Meshes -- Classically Time-controlled Quantum Automata -- Mortal Organisms Rescue Immortal Organisms from Evolutionary Inertness: Perspective of the Programmed Self-decomposition Model -- Integrative Biological, Cognitive and Affective Modeling of a Drug-therapy for a Post-traumatic Stress Disorder -- Symbolic Analysis of Machine Behaviour and the Emergence of the Machine Language -- It Is Time to Dissolve Old Dichotomies in order to Grasp the Whole Picture of Cognition -- Network-oriented Modeling of the Interaction of Adaptive Joint Decision Making, Bonding and Mirroring -- Network Reification as a Unified Approach to Represent Network Adaptation Principles within a Network -- Relating an Adaptive Network's Structure to Its Emerging Behaviour for Hebbian Learning -- On Capacity with Incremental Learning by Simplified Chaotic Neural Network -- Tighter Guarantees for the Compressive Multi-layer Perceptron -- Information-theoretic Self-compression of Multi-layered Neural Networks -- Radial Basis Function Networks Simulation of Age-structure Population -- Bio-inspired Spiking Neural Networks for Facial Expression Recognition: Generalisation Investigation -- Novel Ensembling Methods for Dermatological Image Classification -- SemVec: Semantic Features Word Vectors Based Deep Learning for Improved Text Classification -- Three Analog Neurons Are Turing Universal. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 7th International Conference on Theory and Practice of Natural Computing, TPNC 2017, held in Dublin, Ireland, in December 2018. The 35 full papers presented in this book, together with one invited talk, were carefully reviewed and selected from 69 submissions. The papers are organized around the following topical sections: applications of natural computing as algorithms, bioinformatics, control, cryptography, design, economics. The more theoretical contributions handle with artificial chemistry, artificial immune systems, artificial life, cellular automata, cognitive computing, cognitive engineering, cognitive robotics, collective behaviour, complex systems, computational intelligence, computational social science, computing with words, developmental systems, DNA computing, DNA nanotechnology, evolutionary algorithms, evolutionary computing, evolutionary game theory, fractal geometry, fuzzy control, fuzzy logic, fuzzy sets,fuzzy systems, genetic algorithms, genetic programming, granular computing, heuristics, intelligent agents, intelligent systems, machine intelligence, molecular programming, neural computing, neural networks, quantum communication, quantum computing, rough sets, self-assembly. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings [documento electrónico] / Fagan, David, ; MartÃn-Vide, Carlos, ; O'Neill, Michael, ; Vega-RodrÃguez, Miguel A., . - 1 ed. . - [s.l.] : Springer, 2018 . - XII, 474 p. 155 ilustraciones, 100 ilustraciones en color.
ISBN : 978-3-030-04070-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Algoritmos Inteligencia artificial Red de computadoras Redes de comunicación informática Clasificación: 518.1 Resumen: Este libro constituye las actas arbitradas de la 7.ª Conferencia Internacional sobre TeorÃa y Práctica de la Computación Natural, TPNC 2017, celebrada en DublÃn, Irlanda, en diciembre de 2018. Los 35 artÃculos completos presentados en este libro, junto con una charla invitada, fueron revisados ​​cuidadosamente. y seleccionado entre 69 presentaciones. Los artÃculos se organizan en torno a las siguientes secciones temáticas: aplicaciones de la computación natural como algoritmos, bioinformática, control, criptografÃa, diseño, economÃa. Las contribuciones más teóricas manejan con quÃmica artificial, sistemas inmunológicos artificiales, vida artificial, autómatas celulares, computación cognitiva, ingenierÃa cognitiva, robótica cognitiva, comportamiento colectivo, sistemas complejos, inteligencia computacional, ciencia social computacional, computación con palabras, sistemas de desarrollo, computación con ADN. , nanotecnologÃa de ADN, algoritmos evolutivos, computación evolutiva, teorÃa de juegos evolutiva, geometrÃa fractal, control difuso, lógica difusa, conjuntos difusos, sistemas difusos, algoritmos genéticos, programación genética, computación granular, heurÃstica, agentes inteligentes, sistemas inteligentes, inteligencia artificial, molecular programación, computación neuronal, redes neuronales, comunicación cuántica, computación cuántica, conjuntos preliminares, autoensamblaje. Nota de contenido: Explainable AI and Fuzzy Logic Systems -- Computing Preimages and Ancestors in Reaction Systems -- Poisson Equation Solution and Its Gradient Vector Field to Geometric Features Detection -- Self-organised Aggregation in Swarms of Robots with Informed Robots -- Spatial Types: a Scheme for Specifying Complex Cellular Automata to Explore Artificial Physics -- Application of STRIM to Datasets Generated by Partial Correspondence Hypothesis -- Multi-party Computation Based on Physical Coins -- Patterns and Their Interaction in Excitable Media on Face-centered Cubic Lattice -- Graph Minors from Simulated Annealing for Annealing Machines with Sparse Connectivity -- Gaussian-kernel c-means Clustering Algorithms -- A Linear Constrained Optimization Benchmark for Probabilistic Search Algorithms: the Rotated Klee-Minty Problem -- The Design of (Almost) Disjuct Matrices by Evolutionary Algorithms -- Landscape-aware Constraint Handling Applied to Differential Evolution -- Fuel Efficient Truck Platooning withTime Restrictions and Multiple Speeds Solved by a Particle Swarm Optimisation -- Automated Design of Genetic Programming Classification Algorithms for Financial Forecasting Using Evolutionary Algorithms -- Optimizing Fleet Staging of Air Ambulances in the Province of Ontario -- A Hierarchical Approach to Grammar-guided Genetic Programming: the Case of Scheduling in Heterogeneous Networks -- Multi-memetic Mind Evolutionary Computation Algorithm Based on the Landscape Analysis -- DNA-guided Assembly of Nanocellulose Meshes -- Classically Time-controlled Quantum Automata -- Mortal Organisms Rescue Immortal Organisms from Evolutionary Inertness: Perspective of the Programmed Self-decomposition Model -- Integrative Biological, Cognitive and Affective Modeling of a Drug-therapy for a Post-traumatic Stress Disorder -- Symbolic Analysis of Machine Behaviour and the Emergence of the Machine Language -- It Is Time to Dissolve Old Dichotomies in order to Grasp the Whole Picture of Cognition -- Network-oriented Modeling of the Interaction of Adaptive Joint Decision Making, Bonding and Mirroring -- Network Reification as a Unified Approach to Represent Network Adaptation Principles within a Network -- Relating an Adaptive Network's Structure to Its Emerging Behaviour for Hebbian Learning -- On Capacity with Incremental Learning by Simplified Chaotic Neural Network -- Tighter Guarantees for the Compressive Multi-layer Perceptron -- Information-theoretic Self-compression of Multi-layered Neural Networks -- Radial Basis Function Networks Simulation of Age-structure Population -- Bio-inspired Spiking Neural Networks for Facial Expression Recognition: Generalisation Investigation -- Novel Ensembling Methods for Dermatological Image Classification -- SemVec: Semantic Features Word Vectors Based Deep Learning for Improved Text Classification -- Three Analog Neurons Are Turing Universal. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 7th International Conference on Theory and Practice of Natural Computing, TPNC 2017, held in Dublin, Ireland, in December 2018. The 35 full papers presented in this book, together with one invited talk, were carefully reviewed and selected from 69 submissions. The papers are organized around the following topical sections: applications of natural computing as algorithms, bioinformatics, control, cryptography, design, economics. The more theoretical contributions handle with artificial chemistry, artificial immune systems, artificial life, cellular automata, cognitive computing, cognitive engineering, cognitive robotics, collective behaviour, complex systems, computational intelligence, computational social science, computing with words, developmental systems, DNA computing, DNA nanotechnology, evolutionary algorithms, evolutionary computing, evolutionary game theory, fractal geometry, fuzzy control, fuzzy logic, fuzzy sets,fuzzy systems, genetic algorithms, genetic programming, granular computing, heuristics, intelligent agents, intelligent systems, machine intelligence, molecular programming, neural computing, neural networks, quantum communication, quantum computing, rough sets, self-assembly. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Devolution and British Politics Tipo de documento: documento electrónico Autores: O'Neill, Michael, Editorial: Taylor & Francis Group Fecha de publicación: 2014 Número de páginas: 1 online resource (405 pages) : Il.: illustrations, tables ISBN/ISSN/DL: 9781315837369 Nota general: Includes index. Palabras clave: Decentralization in government Great Britain. Regionalism Great Britain. Clasificación: 320.941 Enlace de acceso : https://elibro-net.biblioproxy.umanizales.edu.co/es/lc/umanizales/titulos/138336 Devolution and British Politics [documento electrónico] / O'Neill, Michael, . - Taylor & Francis Group, 2014 . - 1 online resource (405 pages) : : illustrations, tables.
ISBN : 9781315837369
Includes index.
Palabras clave: Decentralization in government Great Britain. Regionalism Great Britain. Clasificación: 320.941 Enlace de acceso : https://elibro-net.biblioproxy.umanizales.edu.co/es/lc/umanizales/titulos/138336
TÃtulo : Handbook of Grammatical Evolution Tipo de documento: documento electrónico Autores: Ryan, Conor, ; O'Neill, Michael, ; Collins, JJ, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: X, 497 p. 177 ilustraciones, 79 ilustraciones en color. ISBN/ISSN/DL: 978-3-319-78717-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Clasificación: 006.3 Resumen: Este manual ofrece un tratado completo sobre evolución gramatical (GE), un algoritmo evolutivo basado en gramática que emplea una función para mapear cadenas binarias en estructuras de nivel superior, como programas. La simplicidad y la naturaleza modular de GE la convierten en una herramienta muy flexible. Desde su introducción hace casi veinte años, los investigadores lo han aplicado a una amplia gama de dominios problemáticos, incluidos los modelos financieros, la programación paralela y la genética. De manera similar, se ha trabajado mucho para explotar y comprender la naturaleza de su esquema de mapeo, lo que generó investigaciones adicionales sobre todo, desde diferentes gramáticas hasta mapeadores alternativos e inicialización. El libro presenta por primera vez a GE al principiante, brindando una descripción detallada de GE junto con avances históricos clave. Siguen dos secciones, cada una compuesta por capÃtulos de investigadores lÃderes internacionales en el campo. La primera sección se concentra en el análisis de GE y su funcionamiento, brindando información valiosa sobre su configuración e implementación. La segunda sección consta de siete capÃtulos que describen aplicaciones radicalmente diferentes de GE. Las contribuciones de este volumen son beneficiosas tanto para principiantes como para expertos, ya que detallan los resultados y las experiencias de los investigadores al aplicar GE a problemas difÃciles y a gran escala. Los temas incluyen: • Diseño de gramática • Sesgo en GE • Mapeo en GE • TeorÃa de la disrupción en GE · GE estructurado · GE semántica geométrica · GE y semántica · GE paralelo heterogéneo de múltiples y muchos núcleos · Comparación de métodos para crear constantes en GE · Modelado financiero con GE · SÃntesis de programas paralelos sobre multinúcleos · Diseño, arquitectura e ingenierÃa con GE · Creatividad computacional y GE · GE en la predicción de glucosa para diabetes · Aproximaciones de GE a la bioinformática y genómica de sistemas · GE con algoritmos coevolutivos en ciberseguridad · Evolución de árboles de comportamiento con GE para juegos de plataformas · AnalÃtica de negocio y GE para la predicción del reclutamiento de pacientes en ensayos clÃnicos multicéntricos. Nota de contenido: 1 Introduction to GE -- 2 Understanding Grammatical Evolution: Grammar Design -- 3 Bias in Grammatical Evolution -- 4 Mapping in Grammatical Evolution -- 5 Theory of Disruption in GE -- 6 Structured Grammatical Evolution -- 7 Geometric Semantic Grammatical Evolution -- 8 GE and Semantics -- 9 Multi- and Many-core Heterogeneous Parallel Grammatical Evolution -- 10 Grammatical Evolution -- 11 Financial Modelling with Grammatical Evolution -- 12 Synthesis of Parallel Programs on Multi-cores -- 13 Design, Architecture and Engineering with Grammatical Evolution -- 14 Computational Creativity and Grammatical Evolution -- 15 Grammatical Evolution in the Prediction of Glucose for Diabetes -- 16 Genomics -- 17 Grammatical Evolution with Coevolutionary Algorithms in Cybersecurity -- 18 Evolving Behavior Trees with Grammatical Evolution for Platform Games -- 19 Patient Recruitment in Multicentre Clinical Trials. Tipo de medio : Computadora Summary : This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization. The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE. The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include: • Grammar design • Bias in GE • Mapping in GE • Theory of disruption in GE · Structured GE · Geometric semantic GE · GE and semantics · Multi- and Many-core heterogeneous parallel GE · Comparing methods to creating constants in GE · Financial modelling with GE · Synthesis of parallel programs on multi-cores · Design, architecture and engineering with GE · Computational creativity and GE · GE in the prediction of glucose for diabetes · GE approaches to bioinformatics and system genomics · GE with coevolutionary algorithms in cybersecurity · Evolving behaviour trees with GE for platform games · Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Handbook of Grammatical Evolution [documento electrónico] / Ryan, Conor, ; O'Neill, Michael, ; Collins, JJ, . - 1 ed. . - [s.l.] : Springer, 2018 . - X, 497 p. 177 ilustraciones, 79 ilustraciones en color.
ISBN : 978-3-319-78717-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Clasificación: 006.3 Resumen: Este manual ofrece un tratado completo sobre evolución gramatical (GE), un algoritmo evolutivo basado en gramática que emplea una función para mapear cadenas binarias en estructuras de nivel superior, como programas. La simplicidad y la naturaleza modular de GE la convierten en una herramienta muy flexible. Desde su introducción hace casi veinte años, los investigadores lo han aplicado a una amplia gama de dominios problemáticos, incluidos los modelos financieros, la programación paralela y la genética. De manera similar, se ha trabajado mucho para explotar y comprender la naturaleza de su esquema de mapeo, lo que generó investigaciones adicionales sobre todo, desde diferentes gramáticas hasta mapeadores alternativos e inicialización. El libro presenta por primera vez a GE al principiante, brindando una descripción detallada de GE junto con avances históricos clave. Siguen dos secciones, cada una compuesta por capÃtulos de investigadores lÃderes internacionales en el campo. La primera sección se concentra en el análisis de GE y su funcionamiento, brindando información valiosa sobre su configuración e implementación. La segunda sección consta de siete capÃtulos que describen aplicaciones radicalmente diferentes de GE. Las contribuciones de este volumen son beneficiosas tanto para principiantes como para expertos, ya que detallan los resultados y las experiencias de los investigadores al aplicar GE a problemas difÃciles y a gran escala. Los temas incluyen: • Diseño de gramática • Sesgo en GE • Mapeo en GE • TeorÃa de la disrupción en GE · GE estructurado · GE semántica geométrica · GE y semántica · GE paralelo heterogéneo de múltiples y muchos núcleos · Comparación de métodos para crear constantes en GE · Modelado financiero con GE · SÃntesis de programas paralelos sobre multinúcleos · Diseño, arquitectura e ingenierÃa con GE · Creatividad computacional y GE · GE en la predicción de glucosa para diabetes · Aproximaciones de GE a la bioinformática y genómica de sistemas · GE con algoritmos coevolutivos en ciberseguridad · Evolución de árboles de comportamiento con GE para juegos de plataformas · AnalÃtica de negocio y GE para la predicción del reclutamiento de pacientes en ensayos clÃnicos multicéntricos. Nota de contenido: 1 Introduction to GE -- 2 Understanding Grammatical Evolution: Grammar Design -- 3 Bias in Grammatical Evolution -- 4 Mapping in Grammatical Evolution -- 5 Theory of Disruption in GE -- 6 Structured Grammatical Evolution -- 7 Geometric Semantic Grammatical Evolution -- 8 GE and Semantics -- 9 Multi- and Many-core Heterogeneous Parallel Grammatical Evolution -- 10 Grammatical Evolution -- 11 Financial Modelling with Grammatical Evolution -- 12 Synthesis of Parallel Programs on Multi-cores -- 13 Design, Architecture and Engineering with Grammatical Evolution -- 14 Computational Creativity and Grammatical Evolution -- 15 Grammatical Evolution in the Prediction of Glucose for Diabetes -- 16 Genomics -- 17 Grammatical Evolution with Coevolutionary Algorithms in Cybersecurity -- 18 Evolving Behavior Trees with Grammatical Evolution for Platform Games -- 19 Patient Recruitment in Multicentre Clinical Trials. Tipo de medio : Computadora Summary : This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization. The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE. The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include: • Grammar design • Bias in GE • Mapping in GE • Theory of disruption in GE · Structured GE · Geometric semantic GE · GE and semantics · Multi- and Many-core heterogeneous parallel GE · Comparing methods to creating constants in GE · Financial modelling with GE · Synthesis of parallel programs on multi-cores · Design, architecture and engineering with GE · Computational creativity and GE · GE in the prediction of glucose for diabetes · GE approaches to bioinformatics and system genomics · GE with coevolutionary algorithms in cybersecurity · Evolving behaviour trees with GE for platform games · Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
