LEADER 01076nam a2200253 i 4500 001 991003974819707536 008 081030s2000 de b 000 0 ger d 020 $a3898210022 035 $ab13779953-39ule_inst 040 $aDip.to Lingue$bita 100 1 $aKleinert, Markus$0629322 245 10$aSuiziddiskurs bei Jean Améry und Hermann Burger :$bzu Jean Amérys "Hand an sich legen" und Hermann Burgers "Tractatus logico-suicidalis" /$cMarkus Kleinert 260 $aStuttgart :$bIbidem-Verlag,$cc2000 300 $a117 p. ;$c21 cm 504 $aContiene riferimenti bibliografici 600 14$aAméry, Jean.$tHand an sich legen 600 14$aBurger, Hermann.$tTractatus logico-suicidalis 650 4$aSuicidio nella letteratura 907 $a.b13779953$b02-04-14$c30-10-08 912 $a991003974819707536 945 $aLE012 838.914 BUR KLE$g1$i2012000350410$lle012$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i14867989$z30-10-08 996 $aSuiziddiskurs bei Jean Améry und Hermann Burger$91225210 997 $aUNISALENTO 998 $ale012$b30-10-08$cm$da $e-$fger$gde $h0$i0 LEADER 00868nam0-22003011i-450 001 990000026720403321 005 20230706112258.0 035 $a000002672 035 $aFED01000002672 035 $a(Aleph)000002672FED01 035 $a000002672 100 $a20011111d1923----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aConstruction economique de la machine electrique$fMilan Vidmar$gtraduit de l'allemand par D.Schepse. 210 $aParis$cDunod$d1923 215 $a133 p.$cill.$d24 cm 610 0 $aMacchine elettriche 676 $a621.37 700 1$aVidmar,$bMilan$02064 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000026720403321 952 $a13 M 13 11$b5236$fFINBC 959 $aFINBC 996 $aConstruction economique de la machine electrique$9107211 997 $aUNINA DB $aING01 LEADER 08192nam 2200493 450 001 9910483687703321 005 20231110232212.0 010 $a981-336-481-5 035 $a(CKB)4100000011807292 035 $a(MiAaPQ)EBC6524977 035 $a(Au-PeEL)EBL6524977 035 $a(OCoLC)1243549911 035 $a(EXLCZ)994100000011807292 100 $a20211014d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSociophysics approach to epidemics /$fJun Tanimoto 210 1$aSingapore :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (297 pages) $cillustrations 225 1 $aEvolutionary Economics and Social Complexity Science ;$vv.23 300 $aIncludes index. 311 $a981-336-480-7 327 $aIntro -- Preface -- Acknowledgments -- Contents -- About the Author -- Chapter 1: A Social-Physics Approach to Modeling and Analyzing Epidemics -- 1.1 Modeling of a Social-Complex System: A Human-Physics System -- 1.2 How the Spread of an Infectious Disease Can be Modeled?-Mathematical Epidemiology -- 1.3 How Human Behavior Can be Modeled?-Evolutionary Game Theory -- References -- Chapter 2: Evolutionary Game Theory: Fundamentals and Applications for Epidemiology -- 2.1 Two-Player and Two-Strategy Games -- 2.1.1 Theoretical Foundation -- 2.1.2 Social Viscosity -- 2.1.3 Multi-Agent-Simulation Approach -- 2.2 Multi-Player Games -- 2.3 Social Dilemma and its Mathematical Quantification -- 2.3.1 Concept of the Universal Scaling for Dilemma Strength -- 2.3.1.1 Direct Reciprocity -- 2.3.1.2 Indirect Reciprocity -- 2.3.1.3 Kin Selection -- 2.3.1.4 Group Selection -- 2.3.1.5 Network Reciprocity -- 2.3.2 Concept of a Social Efficiency Deficit -- 2.3.2.1 Donor and Recipient Game -- 2.3.2.2 Public Goods Game -- 2.3.2.3 PD with Social Viscosity -- 2.3.2.4 Chicken Game -- 2.3.3 Application of SED -- 2.3.3.1 Derivation of SED -- 2.3.3.2 Discussion -- References -- Chapter 3: Fundamentals of Mathematical Epidemiology and the Vaccination Game -- 3.1 Basic Model: SIR, SIS, and SEIR -- 3.1.1 Formulation of the SIR Model -- 3.1.2 Herd Immunity -- 3.1.3 Formulation of the SIS Model -- 3.1.4 Formulation of the SEIR Model -- 3.2 Theoretical Framework of a Vaccination Game -- 3.2.1 Two Models to Represent Stochastic Vaccination: Effectiveness and Efficiency -- 3.2.1.1 Effectiveness Model -- 3.2.1.2 Efficiency Model -- 3.2.2 Strategy-Updating Rule -- 3.2.2.1 Individual-Based Risk Assessment (IB-RA) -- 3.2.2.2 Strategy-Based Risk Assessment (SB-RA) -- 3.2.2.3 Direct Commitment (DC) -- 3.2.3 Global Dynamics for Strategy Updating -- 3.3 MAS Approach to the Vaccination Game. 327 $a3.3.1 Spatial Structure When Taking the MAS Approach -- 3.3.2 Effective Transmission Rate, ?e, and Effective Recovery Rate, ?e -- 3.3.3 Result of the Vaccination Game -- Comparison Between the MAS and ODE Models -- 3.4 Effect of the Underlying Topology -- 3.4.1 Degree Distribution -- 3.4.2 Networked SIR Model -- 3.4.3 Networked SIR/V Process with an Effectiveness Model -- 3.4.4 Networked SIR/V Process with an Efficiency Model -- 3.4.5 Payoff Structure and Global Dynamics for Strategy Updating -- 3.4.6 Result of the Networked Vaccination Game -- Comparison of Different Degree Distributions -- References -- Chapter 4: Plural Strategies: Intervention Game -- 4.1 Alternative Provisions Featuring Different Combinations of Cost-Effect Performances -- 4.2 Model Structure -- 4.2.1 Formulation of the SVMBIR Model -- 4.2.2 Payoff Structure -- 4.2.3 Strategy-Updating and Global Dynamics -- 4.2.3.1 Individual-Based Risk Assessment (IB-RA) -- 4.2.3.2 Strategy-Based Risk Assessment (SB-RA) -- 4.2.3.3 Direct Commitment (DC) -- 4.3 Result and Discussion -- References -- Chapter 5: Quarantine and Isolation -- 5.1 Social Background -- Quarantine or Isolation? -- 5.2 Model Structure -- 5.2.1 Formulation of the SVEIR Model -- 5.2.2 Payoff Structure -- 5.2.3 Strategy Updating and Global Dynamics -- 5.3 Result and Discussion -- 5.3.1 Local Dynamics in a Single Season -- 5.3.2 Social Equilibrium from Global Dynamics -- 5.3.3 Public-Based (Passive) Provision: Quarantine and Isolation vs. Individual-Based (Active) Provision: Vaccination -- 5.3.4 Passive Provision Rather Compensates the Shadow by Active Provision Than Mutually Competing -- 5.3.5 Comprehensive Discussion -- References -- Chapter 6: Media Information Effect Hampering the Spread of Disease -- 6.1 Positive Effect of Media Helps to Suppress the Spread of an Epidemic -- 6.2 Model Structure. 327 $a6.2.1 Formulation of the SVIR-UA Model -- 6.2.2 Payoff Structure -- 6.2.3 Strategy Updating and Global Dynamics -- 6.2.3.1 Individual-Based Risk Assessment (IB-RA) -- 6.2.3.2 Strategy-Based Risk Assessment (SB-RA) -- 6.2.4 Spatial Structure -- 6.2.5 Initial Condition and Numerical Procedure -- 6.3 Results and Discussion -- References -- Chapter 7: Immunity Waning Effect -- 7.1 Introduction and Background: Immunity and Its Degrading in View of Infectious Disease -- 7.2 Model Structure -- 7.2.1 Formulation of the SVnIR2n Model -- 7.2.2 Parameterization for Immunity Waning Effect -- 7.2.3 Time Evolution of Vaccination by Behavior Model -- 7.3 Result and Discussion -- 7.3.1 Fundamental Characteristic of Time Evolution -- 7.3.2 Dynamics Observed in Trajectory -- 7.3.3 Phase Diagram Analysis -- 7.3.4 Comprehensive Discussion -- References -- Chapter 8: Pre-emptive Vaccination Versus Antiviral Treatment -- 8.1 Introduction and Background: Behavioral Incentives in a Vaccination-Dilemma Setting with an Optional Treatment -- 8.2 Model Structure -- 8.2.1 Formulation of the SVITR Model -- 8.2.2 Reproduction Number -- 8.2.3 Payoff Structure -- 8.2.4 Strategy Updating and Global Dynamics -- 8.2.4.1 Individual-Based Risk Assessment (IB-RA) -- 8.2.4.2 Strategy-Based Risk Assessment (SB-RA) -- 8.2.5 Utility of Treatment -- 8.3 Result and Discussion -- 8.3.1 SVITR Dynamics -- 8.3.2 Interplay Between Vaccination and Treatment Costs -- 8.3.3 Individual-Versus Society-Centered Decision Making -- 8.3.4 Interplay Between Vaccine and Treatment Characteristics -- 8.3.5 Comprehensive Discussion -- References -- Chapter 9: Pre-emptive Vaccination Versus Late Vaccination -- 9.1 Introduction and Background: Is Pre-Emptive or Late Vaccination More Beneficial? -- 9.2 Model Structure -- 9.2.1 Formulation of the Dynamics of the Epidemic and Human Behavior -- 9.2.2 Payoff Structure. 327 $a9.2.3 Strategy Updating and Global Dynamics -- 9.3 Result and Discussion -- References -- Chapter 10: Influenza Vaccine Uptake -- 10.1 Introduction and Background: Multiple Strains and Multiple Vaccines -- 10.2 Model Structure -- 10.2.1 Dynamics of Epidemic Spread -- 10.2.2 Payoff Structure -- 10.2.3 Strategy Updating and Global Dynamics -- 10.3 Result and Discussion -- 10.3.1 Dynamics in a Single Season -- 10.3.2 Evolutionary Outcome of Vaccination Coverage -- 10.3.3 Phase Diagrams -- 10.3.4 Analysis of Social-Efficiency Deficit (SED) -- 10.3.5 Comprehensive Discussion -- Chapter 11: Optimal Design of a Vaccination-Subsidy Policy -- 11.1 Introduction and Background: Free Ticket, Discount Ticket, or a Combination of the Two-Which Subsidy Policy Is Socially O... -- 11.2 Model Design -- 11.2.1 Vaccination Game on a Scale-Free Network -- 11.2.2 Subsidy Policies -- 11.2.3 MAS Approach -- 11.3 Result and Discussion -- Chapter 12: Flexible Modeling -- 12.1 Introduction and Background: A New Cyclic Epidemic-Vaccination Model: Embedding the Attitude of Individuals Toward Vaccin... -- 12.2 Model Depiction -- 12.3 Result and Discussion -- Postscript -- Index. 410 0$aEvolutionary Economics and Social Complexity Science 606 $aEpidemiology$xMathematical models 606 $aGame theory 615 0$aEpidemiology$xMathematical models. 615 0$aGame theory. 676 $a614.4015118 700 $aTanimoto$b Jun$f1965-$0853493 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483687703321 996 $aSociophysics approach to epidemics$91905781 997 $aUNINA LEADER 06088nam 22007695 450 001 9910845482203321 005 20240627181654.0 010 $a3-031-56855-9 024 7 $a10.1007/978-3-031-56855-8 035 $a(CKB)31253054000041 035 $a(DE-He213)978-3-031-56855-8 035 $a(MiAaPQ)EBC31319158 035 $a(Au-PeEL)EBL31319158 035 $a(OCoLC)1427725647 035 $a(MiAaPQ)EBC31574269 035 $a(Au-PeEL)EBL31574269 035 $a(EXLCZ)9931253054000041 100 $a20240323d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplications of Evolutionary Computation $e27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3?5, 2024, Proceedings, Part II /$fedited by Stephen Smith, João Correia, Christian Cintrano 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (XXI, 409 p. 151 illus., 125 illus. in color.) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14635 311 $a3-031-56854-0 327 $aEvolutionary Machine Learning: Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation -- Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution -- Evolving Reservoirs for Meta Reinforcement Learning -- Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control -- Towards Physical Plausibility in Neuroevolution Systems -- Leveraging More of Biology in Evolutionary Reinforcement Learning -- A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour -- DeepEMO: A Multi-Indicator Convolutional Neural Network-based Evolutionary Multi-Objective Algorithm -- A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks -- Robust Neural Architecture Search using Differential Evolution for Medical Images -- Progressive Self-Supervised Multi-Objective NAS for Image Classification -- Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data -- Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments -- Evolutionary Feature-Binning with Adaptive Burden Thresholding for Biomedical Risk Stratification -- An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation -- Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners -- Machine Learning and AI in Digital Healthcare and Personalized Medicine: Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators -- Problem Landscape Analysis for Efficient Optimization: Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling -- Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack -- On the Latent Structure of the bbob-biobj Test Suite -- Soft Computing applied to Games -- Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains -- Using Evolution and Deep Learning to Generate Diverse Intelligent Agents -- Vision Transformers for Computer Go -- Surrogate-Assisted Evolutionary Optimisation: Integrating Bayesian and Evolutionary Approaches for Multi-Objective Optimisation. 330 $aThe two-volume set LNCS 14634 and 14635 constitutes the refereed proceedings of the 27th European Conference on Applications of Evolutionary Computation, EvoApplications 2024, held as part of EvoStar 2024, in Aberystwyth, UK, April 3?5, 2024, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP. The 51 full papers presented in these proceedings were carefully reviewed and selected from 77 submissions. The papers have been organized in the following topical sections: applications of evolutionary computation; analysis of evolutionary computation methods: theory, empirics, and real-world applications; computational intelligence for sustainability; evolutionary computation in edge, fog, and cloud computing; evolutionary computation in image analysis, signal processing and pattern recognition; evolutionary machine learning; machine learning and AI in digital healthcare and personalized medicine; problem landscape analysis for efficient optimization; softcomputing applied to games; and surrogate-assisted evolutionary optimisation. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14635 606 $aComputer science 606 $aComputers 606 $aComputer networks 606 $aComputers, Special purpose 606 $aComputer systems 606 $aComputer science$xMathematics 606 $aTheory of Computation 606 $aComputing Milieux 606 $aComputer Communication Networks 606 $aSpecial Purpose and Application-Based Systems 606 $aComputer System Implementation 606 $aMathematics of Computing 615 0$aComputer science. 615 0$aComputers. 615 0$aComputer networks. 615 0$aComputers, Special purpose. 615 0$aComputer systems. 615 0$aComputer science$xMathematics. 615 14$aTheory of Computation. 615 24$aComputing Milieux. 615 24$aComputer Communication Networks. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aComputer System Implementation. 615 24$aMathematics of Computing. 676 $a004.0151 702 $aSmith$b Stephen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCorreia$b João$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCintrano$b Christian$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910845482203321 996 $aApplications of Evolutionary Computation$92834163 997 $aUNINA