Advances in Complex Societal, Environmental and Engineered Systems / / edited by Mohamed Nemiche, Mohammad Essaaidi |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XVI, 297 p. 74 illus., 47 illus. in color.) |
Disciplina | 510 |
Collana | Nonlinear Systems and Complexity |
Soggetto topico |
Computational complexity
Physics Mathematical models Complexity Applications of Graph Theory and Complex Networks Mathematical Modeling and Industrial Mathematics |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I: Societal and Ecological Systems -- ProtestLab - A Computational Laboratory for Studying Street Protests -- A Generic Agent based Model of Historical Social Behavior Change -- Understanding Social Systems Research -- ForestSim: An Agent-Based Simulation for Bioenergy Sustainability Assessment -- Toward a Complex Concept of Sustainability -- Effects of Policy Decision-making on Riparian Corridors in a Semi-arid Desert: a Modeling Approach -- Part II: Approaches for Understanding, Modeling, Forecasting and Mastering Complex Systems -- Dialectical Systems Theory as a Way to Handle Complex Systems -- Reducing Complexity of Nonlinear Dynamic Systems -- A Few Reflections on the Quality of Emergence in Complex Collective Systems -- Link Structure Analysis of Urban street Networks for Delineating Traffic Impact Areas -- Logic, Mathematics and Consistency in Literature: Searching for Don Quixote’s Place -- Energy-Efficient Buildings as Complex Socio-Technical Systems: Approaches and Challenges -- Part III: Real-life examples -- Modelling Space-Time-Action Modularity and Evolution of Living Systems. |
Record Nr. | UNINA-9910156338803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in Computational Science, Engineering and Information Technology [[electronic resource] ] : Proceedings of the Third International Conference on Computational Science, Engineering and Information Technology (CCSEIT-2013), KTO Karatay University, June 7-9, 2013, Konya,Turkey - Volume 1 / / edited by Dhinaharan Nagamalai, Ashok Kumar, Annamalai Annamalai |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (335 p.) |
Disciplina |
004
004.07 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Data structures (Computer science) Computational complexity Application software Computational Intelligence Data Structures and Information Theory Complexity Computer Applications |
ISBN | 3-319-00951-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Algorithms, Data structures and Applications -- Wireless and Mobile Networks -- Computer Networks and Communications -- Natural Language Processing an Information Theory -- Cryptography and Information Security. |
Record Nr. | UNINA-9910437769103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in Dynamics, Patterns, Cognition : Challenges in Complexity / / edited by Igor S. Aranson, Arkady Pikovsky, Nikolai F. Rulkov, Lev S. Tsimring |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XIX, 329 p. 123 illus., 81 illus. in color.) |
Disciplina | 003.857 |
Collana | Nonlinear Systems and Complexity |
Soggetto topico |
Computational complexity
Pattern recognition Statistical physics System theory Complexity Pattern Recognition Applications of Nonlinear Dynamics and Chaos Theory Complex Systems |
ISBN | 3-319-53673-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I: Chaos and Dynamics -- 1. Weak Transient Chaos -- 2. Lorenz type attractor in electronic parametric generator and its transformation outside the parametric resonance -- 3. Time Rescaling of Lyapunov Exponents -- 4. Unraveling the Chaos-land and its organization in the Rabinovich System -- 5. Anomalous transport in steady plane viscous flows: simple models -- Part II: Synchronization and Networks -- 6. Coherence-incoherence transition and properties of dierent types of chimeras in a network of nonlocally coupled chaotic maps -- 7. Regular and Chaotic Transition to Synchrony in a Star Configuration of Phase Oscillators -- 8. Lotka–Volterra like Dynamics in Phase Oscillator Networks -- 9. Intrinsic Stability, Time Delays and Transformations of Dynamical Networks -- 10. Discovering, Constructing, and Analyzing Synchronous Clusters of Oscillators in a Complex Network using Symmetries -- 11. When repulsive inhibition promotes synchrony of bursting neurons: Help from the enemy -- Part III: Brain -- 12. The variational principles of cognition -- 13. Olfactory computation in insects -- 14. Respiratory Neural Network: Activity and Connectivity -- 15. Dynamics of odor-evoked activity patterns in the olfactory system -- 16. Dynamics of Intermittent Synchronization of Neural Activity -- Part IV: Waves -- 17. Vortices termination in the cardiac muscle -- 18. KDV soliton gas: interactions and turbulence -- 19. Multi-lump structures in the Kadomtsev–Petviashvili equation. |
Record Nr. | UNINA-9910254346603321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in Modelling and Control of Non-integer-Order Systems : 6th Conference on Non-integer Order Calculus and Its Applications, 2014 Opole, Poland / / edited by Krzysztof J. Latawiec, Marian Łukaniszyn, Rafał Stanisławski |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (296 p.) |
Disciplina | 515 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Control engineering
Computational complexity Signal processing Image processing Speech processing systems Control and Systems Theory Complexity Signal, Image and Speech Processing |
ISBN | 3-319-09900-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited paper -- Mathematical fundamentals -- Approximation, modeling and simulations -- Controllability and control -- Stability analysis -- Applications. |
Record Nr. | UNINA-9910299857003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in Nature-Inspired Computing and Applications / / edited by Shishir Kumar Shandilya, Smita Shandilya, Atulya K. Nagar |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (355 pages) |
Disciplina | 006.38 |
Collana | EAI/Springer Innovations in Communication and Computing |
Soggetto topico |
Electrical engineering
Computational intelligence Artificial intelligence Computational complexity Bioinformatics Communications Engineering, Networks Computational Intelligence Artificial Intelligence Complexity |
ISBN | 3-319-96451-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A Nature-inspired Decision System for Secure Cyber Network Architecture -- Optimizing Resource Allocation in Next-Generation Wireless Networks Considering Carrier Aggregation Using Evolutionary Programming -- Artificial Feeding Birds (AFB): a new metaheuristic inspired by the behavior of pigeons -- Nature – Inspired Algorithms for Medical Image Processing -- Firefly Algorithm applied to the Estimation of Parameters of Photovoltaic Systems -- Realization of PSO-based Adaptive Beamforming Algorithm for Smart Antennas -- A Multi-objective Analysis and Comparison of Bio-inspired Approaches for the Cluster-Head Selection problem in WSN -- An Energy Efficient Cluster Head Selection using Artificial Bees Colony Optimization for Wireless Sensor Networks -- Modified Krill Herd Algorithm for Global Numerical Optimization Problems -- Application of Nature-Inspired Optimization Techniques in Vessel Traffic Control -- Enhanced throughput and accelerated detection of network attacks using a membrane computing model implemented on a GPU -- Physics-based Algorithms for Boolean Target Coverage -- A Hybrid Bio- Inspired Algorithm for Protein Domain Problems -- Modeling Service Discovery over Wireless Mesh Networks. |
Record Nr. | UNINA-9910337471803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in network complexity / / edited by Matthias Dehmer, Abbe Mowshowitz and Frank Emmert-Streib |
Pubbl/distr/stampa | Weinheim, : Wiley-Blackwell, c2013 |
Descrizione fisica | 1 online resource (xiv, 293 pages) : illustrations |
Disciplina | 003.72 |
Collana | Quantitative and network biology |
Soggetto topico |
System analysis
Computational complexity Network analysis (Planning) - Mathematical models Graph theory |
ISBN |
3-527-67048-3
3-527-67046-7 3-527-67047-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Advances in Network Complexity; Contents; Preface; List of Contributors; 1 Functional Complexity Based on Topology; 1.1 Introduction; 1.2 A Measure for the Functional Complexity of Networks; 1.2.1 Topological Equivalence of LCE-Graphs; 1.2.2 Vertex Resolution Patterns; 1.2.3 Kauffman States for Link Invariants; 1.2.4 Definition of the Complexity Measure; 1.3 Applications; 1.3.1 Creation of a Loop; 1.3.2 Networks of Information; 1.3.3 Transport Networks of Cargo; 1.3.4 Boolean Networks of Gene Regulation; 1.3.5 Topological Quantum Systems; 1.3.6 Steering Dynamics Stored in Knots and Links
1.4 ConclusionsReferences; 2 Connections Between Artificial Intelligence and Computational Complexity and the Complexity of Graphs; 2.1 Introduction; 2.2 Representation Methods; 2.3 Searching Methods; 2.4 Turing Machines; 2.5 Fuzzy Logic and Fuzzy Graphs; 2.6 Fuzzy Optimization; 2.7 Fuzzy Systems; 2.8 Problems Related to AI; 2.9 Topology of Complex Networks; 2.10 Hierarchies; 2.10.1 Deterministic Case; 2.10.2 Nondeterministic Case; 2.10.3 Alternating Case; 2.11 Graph Entropy; 2.12 Kolmogorov Complexity; 2.13 Conclusion; References 3 Selection-Based Estimates of Complexity Unravel Some Mechanisms and Selective Pressures Underlying the Evolution of Complexity in Artificial Networks3.1 Introduction; 3.2 Complexity and Evolution; 3.3 Macroscopic Quantification of Organismal Complexity; 3.4 Selection-Based Methods of Complexity; 3.5 Informational Complexity; 3.6 Fisher Geometric Model; 3.7 The Cost of Complexity; 3.8 Quantifying Phenotypic Complexity; 3.8.1 Mutation-Based Method: Mutational Phenotypic Complexity (MPC); 3.8.2 Drift Load Based Method: Effective Phenotypic Complexity (EPC) 3.8.3 Statistical Method: Principal Component Phenotypic Complexity (PCPC)3.9 Darwinian Adaptive Neural Networks (DANN); 3.10 The Different Facets of Complexity; 3.11 Mechanistic Understanding of Phenotypic Complexity; 3.12 Selective Pressures Acting on Phenotypic Complexity; 3.13 Conclusion and Perspectives; References; 4 Three Types of Network Complexity Pyramid; 4.1 Introduction; 4.2 The First Type: The Life's Complexity Pyramid (LCP); 4.3 The Second Type: Network Model Complexity Pyramid; 4.3.1 The Level-7: Euler (Regular) Graphs; 4.3.2 The Level-6: Erd€os-R enyi Random Graph 4.3.3 The Level-5: Small-World Network and Scale-Free Models4.3.4 The Level-4: Weighted Evolving Network Models; 4.3.5 The Bottom Three Levels of the NMCP; 4.3.5.1 The Level-3: The HUHPNM; 4.3.5.2 The Level-2: The LUHNM; 4.3.5.3 The Level-1: The LUHNM-VSG; 4.4 The Third Type: Generalized Farey Organized Network Pyramid; 4.4.1 Construction Method of the Generalized Farey Tree Network (GFTN); 4.4.2 Main Results of the GFTN; 4.4.2.1 Degree Distribution; 4.4.2.2 Clustering Coefficient; 4.4.2.3 Diameter and Small World; 4.4.2.4 Degree-Degree Correlations; 4.4.3 Weighted Property of GFTN 4.4.4 Generalized Farey Organized Network Pyramid (GFONP) |
Record Nr. | UNINA-9910139042303321 |
Weinheim, : Wiley-Blackwell, c2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in network complexity / / edited by Matthias Dehmer, Abbe Mowshowitz and Frank Emmert-Streib |
Pubbl/distr/stampa | Weinheim, : Wiley-Blackwell, c2013 |
Descrizione fisica | 1 online resource (xiv, 293 pages) : illustrations |
Disciplina | 003.72 |
Collana | Quantitative and network biology |
Soggetto topico |
System analysis
Computational complexity Network analysis (Planning) - Mathematical models Graph theory |
ISBN |
3-527-67048-3
3-527-67046-7 3-527-67047-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Advances in Network Complexity; Contents; Preface; List of Contributors; 1 Functional Complexity Based on Topology; 1.1 Introduction; 1.2 A Measure for the Functional Complexity of Networks; 1.2.1 Topological Equivalence of LCE-Graphs; 1.2.2 Vertex Resolution Patterns; 1.2.3 Kauffman States for Link Invariants; 1.2.4 Definition of the Complexity Measure; 1.3 Applications; 1.3.1 Creation of a Loop; 1.3.2 Networks of Information; 1.3.3 Transport Networks of Cargo; 1.3.4 Boolean Networks of Gene Regulation; 1.3.5 Topological Quantum Systems; 1.3.6 Steering Dynamics Stored in Knots and Links
1.4 ConclusionsReferences; 2 Connections Between Artificial Intelligence and Computational Complexity and the Complexity of Graphs; 2.1 Introduction; 2.2 Representation Methods; 2.3 Searching Methods; 2.4 Turing Machines; 2.5 Fuzzy Logic and Fuzzy Graphs; 2.6 Fuzzy Optimization; 2.7 Fuzzy Systems; 2.8 Problems Related to AI; 2.9 Topology of Complex Networks; 2.10 Hierarchies; 2.10.1 Deterministic Case; 2.10.2 Nondeterministic Case; 2.10.3 Alternating Case; 2.11 Graph Entropy; 2.12 Kolmogorov Complexity; 2.13 Conclusion; References 3 Selection-Based Estimates of Complexity Unravel Some Mechanisms and Selective Pressures Underlying the Evolution of Complexity in Artificial Networks3.1 Introduction; 3.2 Complexity and Evolution; 3.3 Macroscopic Quantification of Organismal Complexity; 3.4 Selection-Based Methods of Complexity; 3.5 Informational Complexity; 3.6 Fisher Geometric Model; 3.7 The Cost of Complexity; 3.8 Quantifying Phenotypic Complexity; 3.8.1 Mutation-Based Method: Mutational Phenotypic Complexity (MPC); 3.8.2 Drift Load Based Method: Effective Phenotypic Complexity (EPC) 3.8.3 Statistical Method: Principal Component Phenotypic Complexity (PCPC)3.9 Darwinian Adaptive Neural Networks (DANN); 3.10 The Different Facets of Complexity; 3.11 Mechanistic Understanding of Phenotypic Complexity; 3.12 Selective Pressures Acting on Phenotypic Complexity; 3.13 Conclusion and Perspectives; References; 4 Three Types of Network Complexity Pyramid; 4.1 Introduction; 4.2 The First Type: The Life's Complexity Pyramid (LCP); 4.3 The Second Type: Network Model Complexity Pyramid; 4.3.1 The Level-7: Euler (Regular) Graphs; 4.3.2 The Level-6: Erd€os-R enyi Random Graph 4.3.3 The Level-5: Small-World Network and Scale-Free Models4.3.4 The Level-4: Weighted Evolving Network Models; 4.3.5 The Bottom Three Levels of the NMCP; 4.3.5.1 The Level-3: The HUHPNM; 4.3.5.2 The Level-2: The LUHNM; 4.3.5.3 The Level-1: The LUHNM-VSG; 4.4 The Third Type: Generalized Farey Organized Network Pyramid; 4.4.1 Construction Method of the Generalized Farey Tree Network (GFTN); 4.4.2 Main Results of the GFTN; 4.4.2.1 Degree Distribution; 4.4.2.2 Clustering Coefficient; 4.4.2.3 Diameter and Small World; 4.4.2.4 Degree-Degree Correlations; 4.4.3 Weighted Property of GFTN 4.4.4 Generalized Farey Organized Network Pyramid (GFONP) |
Record Nr. | UNINA-9910815777903321 |
Weinheim, : Wiley-Blackwell, c2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in Optimization and Applications : 12th International Conference, OPTIMA 2021, Petrovac, Montenegro, September 27 – October 1, 2021, Revised Selected Papers / / edited by Nicholas N. Olenev, Yuri G. Evtushenko, Milojica Jaćimović, Michael Khachay, Vlasta Malkova |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (291 pages) |
Disciplina | 004.0151 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Computer science - Mathematics
Artificial intelligence Data structures (Computer science) Information theory Computer science Computational complexity Computer networks Mathematical Applications in Computer Science Artificial Intelligence Data Structures and Information Theory Theory and Algorithms for Application Domains Computational Complexity Computer Communication Networks |
ISBN | 3-030-92711-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Mathematical Programming -- Global Optimization -- Stochastic Optimization -- Optimal Control -- Mathematical Economics -- Optimization in Data Analysis -- Applications. |
Record Nr. | UNINA-9910512170903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in Physarum Machines : Sensing and Computing with Slime Mould / / edited by Andrew Adamatzky |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (830 p.) |
Disciplina | 003.5 |
Collana | Emergence, Complexity and Computation |
Soggetto topico |
Computational complexity
Computational intelligence Bioinformatics Artificial intelligence Statistical physics Robotics Automation Complexity Computational Intelligence Artificial Intelligence Applications of Nonlinear Dynamics and Chaos Theory Robotics and Automation |
ISBN | 3-319-26662-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I Experimental -- Part II Theoretical -- Part III Music and Art. |
Record Nr. | UNINA-9910253967303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in Self-Organizing Maps : 9th International Workshop, WSOM 2012 Santiago, Chile, December 12-14, 2012 Proceedings / / edited by Pablo A. Estévez, José C. Príncipe, Pablo Zegers |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (370 p.) |
Disciplina |
006.3/2
006.32 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Computational complexity Artificial intelligence Computational Intelligence Complexity Artificial Intelligence |
Soggetto genere / forma | Conference proceedings. |
ISBN |
1-283-93547-3
3-642-35230-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Nonlinear Analysis and Time Series -- Text Mining and Language Processing -- Applications of Data Mining and Analysis. |
Record Nr. | UNINA-9910437885803321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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