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1. |
Record Nr. |
UNINA9910139042303321 |
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Titolo |
Advances in network complexity / / edited by Matthias Dehmer, Abbe Mowshowitz and Frank Emmert-Streib |
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Pubbl/distr/stampa |
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Weinheim, : Wiley-Blackwell, c2013 |
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Weinheim [Germany] : , : Wiley-Blackwell, , 2013 |
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ISBN |
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3-527-67048-3 |
3-527-67046-7 |
3-527-67047-5 |
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Descrizione fisica |
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1 online resource (xiv, 293 pages) : illustrations |
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Collana |
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Quantitative and network biology ; ; vol. 4 |
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Disciplina |
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Soggetti |
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System analysis |
Computational complexity |
Network analysis (Planning) - Mathematical models |
Graph theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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; |
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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) |
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Sommario/riassunto |
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A well-balanced overview of mathematical approaches to complex systems ranging from applications in chemistry and ecology to basic research questions on network complexity. Matthias Dehmer, Abbe Mowshowitz, and FrankEmmert-Streib, well-known pioneers in the fi eld, have edited this volume with a view to balancing classical and modern approaches to ensure broad coverage of contemporary research problems.The book is a valuable addition to the literature and a must-have for anyone dealing with network compleaity and complexity issues. |
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2. |
Record Nr. |
UNINA9910219990703321 |
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Autore |
Jenkins Brian Michael |
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Titolo |
Countering al Qaeda : an appreciation of the situation and suggestions for strategy / / Brian Michael Jenkins |
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Pubbl/distr/stampa |
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Santa Monica, CA, : RAND, 2002 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (43 p.) |
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Disciplina |
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Soggetti |
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War on Terrorism, 2001-2009 |
Terrorism |
Terrorism - Government policy - United States |
United States Military policy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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PREFACE; CONTENTS; SUMMARY; ACKNOWLEDGMENTS; Chapter One INTRODUCTION; Chapter Two UNDERSTANDING THE ENEMY; THE EMERGENCE OF AL QAEDA; PROCESS, PLANNING, AND MISSION; CHANGED PERCEPTIONS OF THE TERRORIST THREAT; THE AFTERMATH OF SEPTEMBER 11: AL QAEDA'S VIEW; SOME REALISTIC ASSUMPTIONS; Chapter Three STRATEGY FOR THE SECOND PHASE OF THE WAR ON TERRORISM |
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Sommario/riassunto |
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Having achieved its initial goals in the war on terrorism, the United States is now in a second, more complex phase of the campaign. This monograph reviews events since the attacks of September 11, 2001, and discusses the current state of the al Qaeda organization and the kinds of actions that can be expected of it in the foreseeable future. Because al Qaeda constitutes the most serious immediate threat to the security of the United States, it is imperative that the campaign against terrorism remain focused and pragmatic. This monograph outlines and describes the essential, central elements |
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