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Título : Evolutionary Computation for Modeling and Optimization Tipo de documento: documento electrónico Autores: Daniel Ashlock ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2006 Número de páginas: XX, 572 p Il.: online resource ISBN/ISSN/DL: 978-0-387-31909-4 Idioma : Inglés (eng) Palabras clave: Mathematics Artificial intelligence Bioinformatics Applied mathematics Engineering Algorithms Applications of Intelligence (incl. Robotics) Clasificación: 51 Matemáticas Resumen: Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It also includes a methodological material on efficient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simple evolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biological modeling, including evolutionary game theory. Advanced techniques such as cellular encoding, grammar based encoding, and graph based evolutionary algorithms are also covered. This book presents a large number of homework problems, projects, and experiments, with a goal of illustrating single aspects of evolutionary computation and comparing different methods. Its readership is intended for an undergraduate or first-year graduate course in evolutionary computation for computer science, engineering, or other computational science students. Engineering, computer science, and applied math students will find this book a useful guide to using evolutionary algorithms as a problem solving tool Nota de contenido: An Overview of Evolutionary Computation -- Designing Simple Evolutionary Algorithms -- Optimizing Real-Valued Functions -- Sunburn: Coevolving Strings -- Small Neural Nets : Symbots -- Evolving Finite State Automata -- Ordered Structures -- Plus-One-Recall-Store -- Fitting to Data -- Tartarus: Discrete Robotics -- Evolving Logic Functions -- ISAc List: Alternative Genetic Programming -- Graph-Based Evolutionary Algorithms -- Cellular Encoding -- Application to Bioinformatics En línea: http://dx.doi.org/10.1007/0-387-31909-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34792 Evolutionary Computation for Modeling and Optimization [documento electrónico] / Daniel Ashlock ; SpringerLink (Online service) . - New York, NY : Springer New York, 2006 . - XX, 572 p : online resource.
ISBN : 978-0-387-31909-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Artificial intelligence Bioinformatics Applied mathematics Engineering Algorithms Applications of Intelligence (incl. Robotics) Clasificación: 51 Matemáticas Resumen: Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It also includes a methodological material on efficient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simple evolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biological modeling, including evolutionary game theory. Advanced techniques such as cellular encoding, grammar based encoding, and graph based evolutionary algorithms are also covered. This book presents a large number of homework problems, projects, and experiments, with a goal of illustrating single aspects of evolutionary computation and comparing different methods. Its readership is intended for an undergraduate or first-year graduate course in evolutionary computation for computer science, engineering, or other computational science students. Engineering, computer science, and applied math students will find this book a useful guide to using evolutionary algorithms as a problem solving tool Nota de contenido: An Overview of Evolutionary Computation -- Designing Simple Evolutionary Algorithms -- Optimizing Real-Valued Functions -- Sunburn: Coevolving Strings -- Small Neural Nets : Symbots -- Evolving Finite State Automata -- Ordered Structures -- Plus-One-Recall-Store -- Fitting to Data -- Tartarus: Discrete Robotics -- Evolving Logic Functions -- ISAc List: Alternative Genetic Programming -- Graph-Based Evolutionary Algorithms -- Cellular Encoding -- Application to Bioinformatics En línea: http://dx.doi.org/10.1007/0-387-31909-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34792 Ejemplares
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Título : Reasoning Robots : The Art and Science of Programming Robotic Agents Tipo de documento: documento electrónico Autores: Michael Thielscher ; SpringerLink (Online service) Editorial: Dordrecht : Springer Netherlands Fecha de publicación: 2005 Colección: Applied Logic Series, ISSN 1386-2790 num. 33 Número de páginas: XIV, 328 p Il.: online resource ISBN/ISSN/DL: 978-1-4020-3069-7 Idioma : Inglés (eng) Palabras clave: Philosophy Computer programming Artificial intelligence of Technology Programming Techniques Intelligence (incl. Robotics) Clasificación: 51 Matemáticas Resumen: The book provides an in-depth and uniform treatment of a mathematical model for reasoning robotic agents. The book also contains an introduction to a programming method and system based on this model. The mathematical model, known as the "Fluent Calculus,'' describes how to use classical first-order logic to set up symbolic models of dynamic worlds and to represent knowledge of actions and their effects. Robotic agents use this knowledge and their reasoning facilities to make decisions when following high-level, long-term strategies. The book covers the issues of reasoning about sensor input, acting under incomplete knowledge and uncertainty, planning, intelligent troubleshooting, and many other topics. The mathematical model is supplemented by a programming method which allows readers to design their own reasoning robotic agents. The usage of this method, called "FLUX,'' is illustrated by many example programs. The book includes the details of an implementation of FLUX using the standard programming language PROLOG, which allows readers to re-implement or to modify and extend the generic system. The design of autonomous agents, including robots, is one of the most exciting and challenging goals of Artificial Intelligence. Reasoning robotic agents constitute a link between knowledge representation and reasoning on the one hand, and agent programming and robot control on the other. The book provides a uniform mathematical model for the problem-driven, top-down design of rational agents, which use reasoning for decision making, planning, and troubleshooting. The implementation of the mathematical model by a general PROLOG program allows readers to practice the design of reasoning robotic agents. Since all implementation details are given, the generic system can be easily modified and extended Nota de contenido: Special Fluent Calculus -- Special FLUX -- General Fluent Calculus -- General FLUX -- Knowledge Programming -- Planning -- Nondeterminism -- Imprecision* -- Indirect Effects: Ramification Problem* -- Troubleshooting: Qualification Problem -- Robotics En línea: http://dx.doi.org/10.1007/1-4020-3069-X Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35207 Reasoning Robots : The Art and Science of Programming Robotic Agents [documento electrónico] / Michael Thielscher ; SpringerLink (Online service) . - Dordrecht : Springer Netherlands, 2005 . - XIV, 328 p : online resource. - (Applied Logic Series, ISSN 1386-2790; 33) .
ISBN : 978-1-4020-3069-7
Idioma : Inglés (eng)
Palabras clave: Philosophy Computer programming Artificial intelligence of Technology Programming Techniques Intelligence (incl. Robotics) Clasificación: 51 Matemáticas Resumen: The book provides an in-depth and uniform treatment of a mathematical model for reasoning robotic agents. The book also contains an introduction to a programming method and system based on this model. The mathematical model, known as the "Fluent Calculus,'' describes how to use classical first-order logic to set up symbolic models of dynamic worlds and to represent knowledge of actions and their effects. Robotic agents use this knowledge and their reasoning facilities to make decisions when following high-level, long-term strategies. The book covers the issues of reasoning about sensor input, acting under incomplete knowledge and uncertainty, planning, intelligent troubleshooting, and many other topics. The mathematical model is supplemented by a programming method which allows readers to design their own reasoning robotic agents. The usage of this method, called "FLUX,'' is illustrated by many example programs. The book includes the details of an implementation of FLUX using the standard programming language PROLOG, which allows readers to re-implement or to modify and extend the generic system. The design of autonomous agents, including robots, is one of the most exciting and challenging goals of Artificial Intelligence. Reasoning robotic agents constitute a link between knowledge representation and reasoning on the one hand, and agent programming and robot control on the other. The book provides a uniform mathematical model for the problem-driven, top-down design of rational agents, which use reasoning for decision making, planning, and troubleshooting. The implementation of the mathematical model by a general PROLOG program allows readers to practice the design of reasoning robotic agents. Since all implementation details are given, the generic system can be easily modified and extended Nota de contenido: Special Fluent Calculus -- Special FLUX -- General Fluent Calculus -- General FLUX -- Knowledge Programming -- Planning -- Nondeterminism -- Imprecision* -- Indirect Effects: Ramification Problem* -- Troubleshooting: Qualification Problem -- Robotics En línea: http://dx.doi.org/10.1007/1-4020-3069-X Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35207 Ejemplares
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Título : Fundamentals and Principles of Artifacts Science : 3M&I-Body System Tipo de documento: documento electrónico Autores: Masayuki Matsui ; SpringerLink (Online service) Editorial: Singapore : Springer Singapore Fecha de publicación: 2016 Otro editor: Imprint: Springer Colección: SpringerBriefs in Business, ISSN 2191-5482 Número de páginas: VIII, 74 p. 50 illus., 37 illus. in color Il.: online resource ISBN/ISSN/DL: 978-981-10-0473-5 Idioma : Inglés (eng) Palabras clave: Business logistics Operations research Decision making mathematics Artificial intelligence Control engineering Robotics Mechatronics and Management Operation Research/Decision Theory Logistics Supply Chain Mathematics Intelligence (incl. Robotics) Control, Robotics, Clasificación: 658 Empresas. Organización de empresas Resumen: This is the first book covering original information on the mathematical science of such the artifacts as 3M&I-body system, in which "3M" means human, material/machine, money, and "I" means the information/method in nature versus artifacts. This book is the product of industrial engineering versus Wiener's cybernetics challenge for a half-century. For 3M&I-body, there are two approaches of artificial intelligence/IoT (internet of things) and Matsui's matrix/3D to systemization and control. The former is the analogical and visual approach to real entity. The latter is the digital and logical approach to system decision and is applied to the robotics of bodies. The mathematical science of a body is well constructed from the algebra, geometry, analysis, and control on Matsui's equation, toward the sandwich and balancing propositions of bodies. The sandwich issues propose the squeeze or pinching theorem in mathematics at the 3M&I-body, and the balancing issues propose the principle of balancing and invisible collaboration of bodies, beginning from the work of Archimedes. This book contributes to the integration of knowledge and intelligence in science and facilitate the realization of the cyber/real-world , such as the enterprise robot, cloud-coordinated supply-chain management (SCM), and smart cities in the near future Nota de contenido: Ch1 Introductory 3M&I-Body Problem -- 1.1 IE/OR vs. Wiener's cybernetics views -- 1.2 New challenge: Nature vs. artifacts issues -- Ch2 Fundamentals of 3M&I-Body System -- 2.1 Algebra: Pair-matrix body and line vs. OE -- 2.2 Analytics: Sandwich theory and Matsui's equation -- 2.3 Control: Progressive method and 3D-geometry -- Ch3 Science/Balancing of Multi-Body System -- 3.1 Dual Job Shop vs. Line system and Balancing -- 3.2 Bowl balancing and arrangement of bodies -- Ch4 Economics of Invisible Collaboration -- 4.1 Medium/invisible collaboration of bodies -- 4.2 Ellipse map and SCM/GDP collaboration -- Appendix A1 Newtonian Mechnics vs. Matsui's Dynamics -- A2 Historical Review of 3M&I-Body Science -- Index En línea: http://dx.doi.org/10.1007/978-981-10-0473-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41238 Fundamentals and Principles of Artifacts Science : 3M&I-Body System [documento electrónico] / Masayuki Matsui ; SpringerLink (Online service) . - Singapore : Springer Singapore : Imprint: Springer, 2016 . - VIII, 74 p. 50 illus., 37 illus. in color : online resource. - (SpringerBriefs in Business, ISSN 2191-5482) .
ISBN : 978-981-10-0473-5
Idioma : Inglés (eng)
Palabras clave: Business logistics Operations research Decision making mathematics Artificial intelligence Control engineering Robotics Mechatronics and Management Operation Research/Decision Theory Logistics Supply Chain Mathematics Intelligence (incl. Robotics) Control, Robotics, Clasificación: 658 Empresas. Organización de empresas Resumen: This is the first book covering original information on the mathematical science of such the artifacts as 3M&I-body system, in which "3M" means human, material/machine, money, and "I" means the information/method in nature versus artifacts. This book is the product of industrial engineering versus Wiener's cybernetics challenge for a half-century. For 3M&I-body, there are two approaches of artificial intelligence/IoT (internet of things) and Matsui's matrix/3D to systemization and control. The former is the analogical and visual approach to real entity. The latter is the digital and logical approach to system decision and is applied to the robotics of bodies. The mathematical science of a body is well constructed from the algebra, geometry, analysis, and control on Matsui's equation, toward the sandwich and balancing propositions of bodies. The sandwich issues propose the squeeze or pinching theorem in mathematics at the 3M&I-body, and the balancing issues propose the principle of balancing and invisible collaboration of bodies, beginning from the work of Archimedes. This book contributes to the integration of knowledge and intelligence in science and facilitate the realization of the cyber/real-world , such as the enterprise robot, cloud-coordinated supply-chain management (SCM), and smart cities in the near future Nota de contenido: Ch1 Introductory 3M&I-Body Problem -- 1.1 IE/OR vs. Wiener's cybernetics views -- 1.2 New challenge: Nature vs. artifacts issues -- Ch2 Fundamentals of 3M&I-Body System -- 2.1 Algebra: Pair-matrix body and line vs. OE -- 2.2 Analytics: Sandwich theory and Matsui's equation -- 2.3 Control: Progressive method and 3D-geometry -- Ch3 Science/Balancing of Multi-Body System -- 3.1 Dual Job Shop vs. Line system and Balancing -- 3.2 Bowl balancing and arrangement of bodies -- Ch4 Economics of Invisible Collaboration -- 4.1 Medium/invisible collaboration of bodies -- 4.2 Ellipse map and SCM/GDP collaboration -- Appendix A1 Newtonian Mechnics vs. Matsui's Dynamics -- A2 Historical Review of 3M&I-Body Science -- Index En línea: http://dx.doi.org/10.1007/978-981-10-0473-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41238 Ejemplares
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Título : The Nexus between Artificial Intelligence and Economics Tipo de documento: documento electrónico Autores: Ad. J. W. van de Gevel ; SpringerLink (Online service) ; Charles N. Noussair Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: SpringerBriefs in Economics, ISSN 2191-5504 Número de páginas: VIII, 115 p. 1 illus Il.: online resource ISBN/ISSN/DL: 978-3-642-33648-5 Idioma : Inglés (eng) Palabras clave: Artificial intelligence Economic theory Behavioral economics Microeconomics Economics Intelligence (incl. Robotics) Behavioral/Experimental Theory/Quantitative Economics/Mathematical Methods Clasificación: 658 Empresas. Organización de empresas Resumen: The manuscript reviews some key ideas about artificial intelligence, and relates them to economics. These include its relation to robotics, and the concepts of synthetic emotions, consciousness, and life. The economic implications of the advent of artificial intelligence, such as its effect on prices and wages, appropriate patent policy, and the possibility of accelerating productivity, are discussed. The growing field of artificial economics and the use of artificial agents in experimental economics is considered Nota de contenido: Introduction -- Technological Progress: Logistic Growth or Singularity -- Artificial Intelligence -- Artificial Happiness -- Issues in Artificial Intelligence -- Artificial Intelligence in Economics: ACE -- Economics of Artificial Intelligence -- State of the Art, Challenges for AGI En línea: http://dx.doi.org/10.1007/978-3-642-33648-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36551 The Nexus between Artificial Intelligence and Economics [documento electrónico] / Ad. J. W. van de Gevel ; SpringerLink (Online service) ; Charles N. Noussair . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013 . - VIII, 115 p. 1 illus : online resource. - (SpringerBriefs in Economics, ISSN 2191-5504) .
ISBN : 978-3-642-33648-5
Idioma : Inglés (eng)
Palabras clave: Artificial intelligence Economic theory Behavioral economics Microeconomics Economics Intelligence (incl. Robotics) Behavioral/Experimental Theory/Quantitative Economics/Mathematical Methods Clasificación: 658 Empresas. Organización de empresas Resumen: The manuscript reviews some key ideas about artificial intelligence, and relates them to economics. These include its relation to robotics, and the concepts of synthetic emotions, consciousness, and life. The economic implications of the advent of artificial intelligence, such as its effect on prices and wages, appropriate patent policy, and the possibility of accelerating productivity, are discussed. The growing field of artificial economics and the use of artificial agents in experimental economics is considered Nota de contenido: Introduction -- Technological Progress: Logistic Growth or Singularity -- Artificial Intelligence -- Artificial Happiness -- Issues in Artificial Intelligence -- Artificial Intelligence in Economics: ACE -- Economics of Artificial Intelligence -- State of the Art, Challenges for AGI En línea: http://dx.doi.org/10.1007/978-3-642-33648-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36551 Ejemplares
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Título : The Playful Machine : Theoretical Foundation and Practical Realization of Self-Organizing Robots Tipo de documento: documento electrónico Autores: Ralf Der ; SpringerLink (Online service) ; Georg Martius Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2012 Colección: Cognitive Systems Monographs, ISSN 1867-4925 num. 15 Número de páginas: XX, 336 p. 166 illus., 151 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-642-20253-7 Idioma : Inglés (eng) Palabras clave: Mathematics Artificial intelligence Applied mathematics Engineering Applications of Intelligence (incl. Robotics) Clasificación: 51 Matemáticas Resumen: Autonomous robots may become our closest companions in the near future. While the technology for physically building such machines is already available today, a problem lies in the generation of the behavior for such complex machines. Nature proposes a solution: young children and higher animals learn to master their complex brain-body systems by playing. Can this be an option for robots? How can a machine be playful? The book provides answers by developing a general principle---homeokinesis, the dynamical symbiosis between brain, body, and environment---that is shown to drive robots to self- determined, individual development in a playful and obviously embodiment- related way: a dog-like robot starts playing with a barrier, eventually jumping or climbing over it; a snakebot develops coiling and jumping modes; humanoids develop climbing behaviors when fallen into a pit, or engage in wrestling-like scenarios when encountering an opponent. The book also develops guided self-organization, a new method that helps to make the playful machines fit for fulfilling tasks in the real world. The book provides two levels of presentation. Students and scientific researchers interested in the field of robotics, self-organization and dynamical systems theory may be satisfied by the in-depth mathematical analysis of the principle, the bootstrapping scenarios, and the emerging behaviors. But the book additionally comes with a robotics simulator inviting also the non- scientific reader to simply enjoy the fabulous world of playful machines by performing the numerous experiments Nota de contenido: 1.Introduction -- 2.Self-Organization in Nature and Machines -- 3.The Sensorimotor Loop. - 4.Principles of Self-Regulation - Homeostasis . - 5.A General Approach to Self-Organization - Homeokinesis -- 6.From Fixed-Point Flows to Hysteresis Oscillators -- 7.Symmetries, Resonances, and Second Order Hysteresis -- 8.Low Dimensional Robotic Systems -- 9.Model Learning -- 10.High-Dimensional Robotic Systems -- 11.Facing the Unknown - Homeokinesis in a New Representation* -- 12.Guided Self-Organization - A First Realization -- 13.Channeling Self-Organization -- 14.Reward-Driven Self-Organization -- 15.Algorithmic Implementation -- 16.The LPZROBOTS Simulator -- 17.Discussion and Perspectives -- List of Figures -- List of Videos -- List of Experiments -- References -- Index En línea: http://dx.doi.org/10.1007/978-3-642-20253-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32913 The Playful Machine : Theoretical Foundation and Practical Realization of Self-Organizing Robots [documento electrónico] / Ralf Der ; SpringerLink (Online service) ; Georg Martius . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2012 . - XX, 336 p. 166 illus., 151 illus. in color : online resource. - (Cognitive Systems Monographs, ISSN 1867-4925; 15) .
ISBN : 978-3-642-20253-7
Idioma : Inglés (eng)
Palabras clave: Mathematics Artificial intelligence Applied mathematics Engineering Applications of Intelligence (incl. Robotics) Clasificación: 51 Matemáticas Resumen: Autonomous robots may become our closest companions in the near future. While the technology for physically building such machines is already available today, a problem lies in the generation of the behavior for such complex machines. Nature proposes a solution: young children and higher animals learn to master their complex brain-body systems by playing. Can this be an option for robots? How can a machine be playful? The book provides answers by developing a general principle---homeokinesis, the dynamical symbiosis between brain, body, and environment---that is shown to drive robots to self- determined, individual development in a playful and obviously embodiment- related way: a dog-like robot starts playing with a barrier, eventually jumping or climbing over it; a snakebot develops coiling and jumping modes; humanoids develop climbing behaviors when fallen into a pit, or engage in wrestling-like scenarios when encountering an opponent. The book also develops guided self-organization, a new method that helps to make the playful machines fit for fulfilling tasks in the real world. The book provides two levels of presentation. Students and scientific researchers interested in the field of robotics, self-organization and dynamical systems theory may be satisfied by the in-depth mathematical analysis of the principle, the bootstrapping scenarios, and the emerging behaviors. But the book additionally comes with a robotics simulator inviting also the non- scientific reader to simply enjoy the fabulous world of playful machines by performing the numerous experiments Nota de contenido: 1.Introduction -- 2.Self-Organization in Nature and Machines -- 3.The Sensorimotor Loop. - 4.Principles of Self-Regulation - Homeostasis . - 5.A General Approach to Self-Organization - Homeokinesis -- 6.From Fixed-Point Flows to Hysteresis Oscillators -- 7.Symmetries, Resonances, and Second Order Hysteresis -- 8.Low Dimensional Robotic Systems -- 9.Model Learning -- 10.High-Dimensional Robotic Systems -- 11.Facing the Unknown - Homeokinesis in a New Representation* -- 12.Guided Self-Organization - A First Realization -- 13.Channeling Self-Organization -- 14.Reward-Driven Self-Organization -- 15.Algorithmic Implementation -- 16.The LPZROBOTS Simulator -- 17.Discussion and Perspectives -- List of Figures -- List of Videos -- List of Experiments -- References -- Index En línea: http://dx.doi.org/10.1007/978-3-642-20253-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32913 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Advances in Data Analysis, Data Handling and Business Intelligence / SpringerLink (Online service) ; Andreas Fink ; Berthold Lausen ; Seidel, Wilfried ; Alfred Ultsch (2010)
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