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1.

電子ブック
ＥＢ
1. Hidden Order and Exotic Superconductivity in the Heavy-Fermion Compound URu2Si2
Ryuji Okazaki
出版情報: SpringerLink Books - AutoHoldings , Springer Japan, 2013
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2.

電子ブック
ＥＢ
2. IEEE Std 1671.2-2012 (Revision of IEEE Std 1671.2-2008)
出版情報: IEEE Electronic Library (IEL) Standards , IEEE, 2013
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3.

電子ブック
ＥＢ
3. 2013 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ)
出版情報: IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2013
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4.

電子ブック
ＥＢ
4. Gas and Oil Reliability Engineering
Eduardo Calixto
出版情報: Elsevier ScienceDirect Books Complete , Gulf Professional Publishing, 2013
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Preface
Acknowledgments
Life Cycle Analysis / 1：
Quantitative Failure Data Analysis / 1.1：
Probability Density Functions / 1.2：
Exponential PDF / 1.2.1：
Normal PDF / 1.2.2：
Logistic PDF / 1.2.3：
Lognormal PDF / 1.2.4：
Loglogistic PDF / 1.2.5：
Cumbel PDF / 1.2.6：
Weibull PDF / 1.2.7：
Gamma PDF / 1.2.8：
Generalized Gamma PDF / 1.2.9：
How to Define PDF Parameters and Choose Which PDF Fits Better with the Failure Data / 1.3：
Plot Method / 1.3.1：
Rank Regression / 1.3.2：
Maximum Likelihood Method / 1.3.3：
How Reliable Is the Reliability: The Confidence Bound Will Tell You / 1.4：
References
Accelerated Test and Reliability Growth Analysis Models / 2：
Introduction / 2.1：
Quantitative Accelerated Tests / 2.2：
Arrhenius Life-Stress Model / 2.2.1：
Eyring Life-Stress Model / 2.2.2：
Inverse Power Law Life-Stress Model / 2.2.3：
Temperature-Humidity Life-Stress Model / 2.2.4：
Thermal-Nonthermal Life-Stress Model / 2.2.5：
General Loglinear Life-Stress Model / 2.2.6：
Proportional Hazard Life-Stress Model / 2.2.7：
Cumulative Risk Life-Stress Model / 2.2.8：
Qualitative Accelerated Tests (HALT and HASS) / 2.3：
Reliability Growth Analysis / 2.4：
Duanne Model / 2.4.1：
Crow-Ansaa Model / 2.4.2：
Lloyd-Lipow Model / 2.4.3：
Gompertz Model / 2.4.4：
Logistic Model / 2.4.5：
Crow Extended Model / 2.4.6：
Power Law Model / 2.4.7：
Reliability and Maintenance / 3：
Introduction to Failure Mode Effects Analysis / 3.1：
Design Failure Mode Effects Analysis / 3.1.1：
Failure Mode Analysis: Process and Operational Applications / 3.1.2：
Reliability Centered on Maintenance / 3.2：
Risk-Based Inspection / 3.3：
ReBI / 3.4：
RGBI Analysis / 3.5：
ORT Analysis / 3.6：
Reliability, Availability, and Maintainability Analysis / 4：
Introduction to RAM Analysis / 4.1：
Scope Definition / 4.1.1：
Failure and Repair Data Analysis / 4.1.2：
Modeling and Simulation / 4.1.3：
Sensitivity Analysis / 4.1.4：
Conclusions and Reports / 4.1.5：
RBD Configuration / 4.2：
Markov Chain Methodology / 4.2.2：
Simulation / 4.2.3：
Reliability and Availability Performance Index / 4.2.4：
Sensitivity Analysis: Redundancy Policies, Maintenance Plans, Stock Policies, and Logistics / 4.3：
Redundancy Policies / 4.3.1：
Maintenance Policies / 4.3.2：
A General Renovation Process: Kijima Models I and II / 4.3.3：
Stock Policies / 4.3.4：
Logistics / 4.3.5：
Improvement Allocation Based on Availability / 4.4：
Case Studies / 4.5：
Sensitivity Analysis in Critical Equipment: The Distillation Plant Case Study in the Brazilian Oil and Gas Industry / 4.5.1：
Systems Availability Enhancement Methodology: A Refinery Hydrotreating Unit Case Study / 4.5.2：
The Nonlinear Optimization Methodology Model: The Refinery Plant Availability Optimization Case Study / 4.5.3：
CENPES II Project Reliability Analysis / 4.5.4：
The Operational Effects in Availability: Thermal Cracking Plant RAM Analysis Case Study / 4.5.5：
Partial Availability Based on System Age: The Drill Facility System Case Study / 4.5.6：
High-Performance System Requires Improvements? Compressor Optimum Replacement Time Case Study / 4.5.7：
RAM+L Analysis: Refinery Case Study / 4.5.8：
Human Reliability Analysis / 5：
Human Reliability Concepts / 5.1：
Technique for Human Error Rate Prediction / 5.2：
Operator Action Tree / 5.3：
Accident Sequence Evaluation program / 5.4：
Pre-Accident Analysis Methodology / 5.4.1：
Post-Accident Analysis Methodology / 5.4.2：
Human Error Assessment Reduction Technique / 5.5：
Social Technical Analysis of Human Reliability / 5.6：
Standardized Plant Analysis Risk-Human Reliability / 5.7：
Bayesian Networks / 5.8：
Case Study / 5.9：
THERP Case Study Application / 5.9.1：
OAT Case Study Application / 5.9.2：
SPAR-H Case Study Application / 5.9.3：
HEART Case Study Application / 5.9.4：
STAH-R Case Study Application / 5.9.5：
Bayesian Network Application / 5.9.6：
Methodologies Similarities / 5.9.7：
Conclusion / 5.9.8：
Reliability and Safety Processes / 6：
Fault Tree Analysis / 6.1：
Time Independent FTA / 6.2.1：
Time Dependent FTA / 6.2.2：
FTA as Qualitative Risk Analysis Support / 6.2.3：
FTA as a Root Cause Analysis Tool / 6.2.4：
Event Tree Analysis / 6.3：
Time Independent Event Tree Analysis / 6.3.1：
Time Dependent ETA / 6.3.2：
Layers of Protection Analysis / 6.4：
Independent Time LOPA / 6.4.1：
Time Dependent LOPA / 6.4.2：
Time Dependent LOPA as Qualitative Risk Analysis Support / 6.4.3：
Safety Integrity Level Analysis / 6.5：
Hazard Matrix Methodology / 6.5.1：
Risk Graph Methodology / 6.5.2：
Frequency Target Methodology / 6.5.3：
Individual and Societal Risk Methodology / 6.5.4：
Quantitative Approach to Defining Probability of Failure on Demand / 6.5.5：
Bow Tie Analysis / 6.6：
Time Independent Bow Tie Analysis / 6.6.1：
Time Dependent Bow Tie Analysis / 6.6.2：
Case Study 1: Applying LOPA Analysis to Decide Whether Risk Is Acceptable When Layers of Protection Are Not Available / 6.7：
Case Study 2: Using RAMS Analysis Methodology to Measure Safety Process Effects on System Availability / 6.8：
Safety Processes / 6.8.1：
RAM Analysis Case Study / 6.8.2：
Conclusions / 6.8.3：
Reliability Management / 7：
Reliability Management over the Enterprise Life Cycle / 7.1：
Reliability Management Success Factors / 7.2：
Successful Reliability Engineering Implementation Case Study / 7.3：
Bayer / 7.3.1：
Successful Organization in Reliability Engineer Implementation / 7.4：
USNRC (United States Nuclear Regulatory Commission) / 7.4.1：
ESReDA (European Safety and Reliability and Data Association) / 7.4.2：
ESRA (European Safety and Reliability Association) / 7.4.3：
SINTEF (Stiftelsen for Industriell og Teknisk Forskning) / 7.4.4：
Reliability Engineer Teaching and Research: Successful Universities and Research Center Cases / 7.5：
Karlsruhe Institute Technology / 7.5.1：
Indian Institute of Technology Kharagpur / 7.5.2：
University of Strathclyde Business School / 7.5.3：
University of Stavanger / 7.5.4：
Final Thoughts / 7.6：
Index
Preface
Acknowledgments
Life Cycle Analysis / 1：
5.

電子ブック
ＥＢ
5. Advances in intelligence and security informatics
Wenji Mao, Fei-Yue Wang, FeiYue Wang
出版情報: Elsevier ScienceDirect Books , Burlington : Academic Press, 2013
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Preface
Acknowledgements
Intelligence and Security Informatics: Research Frameworks / Chapter 1：
Research Methodology and Frameworks for ISI / 1.1：
The ACP Approach / 1.2：
Modeling with Artificial Societies / 1.2.1：
Analysis with Computational Experiments / 1.2.2：
Control Through Parallel Execution / 1.2.3：
Foundations in Philosophy and Physics / 1.2.4：
Outline of Chapters / 1.3：
Agent Modeling of Terrorist Organization Behavior / Chapter 2：
Modeling Organizational Behavior / 2.1：
Action Extraction from the Web / 2.2：
Action Data Collection / 2.2.1：
Raw Action Extraction / 2.2.2：
Action Elimination / 2.2.3：
Action Refinement / 2.2.4：
Extracting Causal Knowledge from the Web / 2.3：
Construction of Action Hierarchy / 2.4：
Designing, Causal Scenarios / 2.5：
Case Study on Terrorist Organization / 2.6：
Conclusion / 2.7：
Security Story Generation for Computational Experiments / Chapter 3：
Story Generation Systems / 3.1：
System Workflow and Narrative Structure / 3.2：
Story Extraction Approach / 3.3：
Text Processing with Domain Knowledge / 3.3.1：
Event Detection and Event Element Extraction / 3.3.2：
Design and Organization of Patterns / 3.3.3：
Event Element Standardization / 3.3.4：
Evaluation of Event Relations / 3.3.5：
Experiment / 3.4：
Forecasting Croup Behavior via Probabilistic Plan Inference / 3.5：
Review of Plan-Based Inference / 4.1：
Probabilistic Plan Representation / 4.2：
Probabilistic Reasoning Approach / 4.3：
Notation / 4.3.1：
Computation / 4.3.2：
Case Study in Security Informatics / 4.4：
Construction of Plan Library / 4.4.1：
The Test Set / 4.4.2：
Experimental Results / 4.4.3：
Forecasting Complex Croup Behavior via Multiple Plan Recognition / 4.5：
Multiple Plan Recognition for Behavior Prediction / 5.1：
The MPR Problem Definition / 5.2：
The Proposed MPR Approach / 5.3：
Constructing the Explanation Graph / 5.3.1：
Computing Probability of an Explanation / 5.3.2：
Finding the Best Explanation / 5.3.3：
Algorithm and Complexity Analysis / 5.3.4：
Discussion / 5.3.5：
Experimental Design / 5.4：
Results / 5.4.2：
Social Computing in ISI: A Synthetic View / 5.5：
Social Computing / 6.1：
Theoretical and Infrastructure Underpinnings / 6.1.1：
Major Application Areas / 6.1.2：
A Social Computing-Based ISI Research Framework / 6.2：
Control and Management Through Parallel Execution / 6.2.1：
Main Issues in the ACP-Based ISI Research Framework / 6.3：
Modeling Cyber-Physical Societies / 6.3.1：
Scenario-Based Computational Experiment and Evaluation / 6.3.2：
Interactive Co-Evolution of Artificial and Actual Systems / 6.3.3：
Social Media Information Processing and Standardization / 6.3.4：
ISI Research Platform / 6.3.5：
Summary / 6.4：
Cyber-Enabled Social Movement Organizations / Chapter 7：
Studies on Social Movement Organizations: A Review / 7.1：
A New Research Framework for CeSMOs / 7.2：
CeSMO Research Questions / 7.2.1：
A Social Computing-Based CeSMO Research Framework / 7.2.2：
Case Study: Wenchuan Earthquake / 7.3：
Discussions on CeSMO Research Issues / 7.4：
CeSMO Behavior Modeling / 7.4.1：
CeSMO Network Analysis / 7.4.2：
CeSMO Social and Cultural Information Modeling and Analysis / 7.4.3：
CeSMO Behavior Prediction / 7.4.4：
Cultural Modeling for Behavior Analysis and Prediction / 7.5：
Modeling Cultural Data in Security Informatics / 8.1：
Major Machine Learning Methods / 8.2：
Naive Bayesian (NB) / 8.2.1：
Support Vector Machines (SVMs) / 8.2.2：
Artificial Neural Networks / 8.2.3：
k-Nearest Neighbor (kNN) / 8.2.4：
Decision Trees / 8.2.5：
Random Forest (RF) / 8.2.6：
Associative Classification (AC) / 8.2.7：
Experiment and Analysis / 8.3：
Datasets / 8.3.1：
Evaluation Measures / 8.3.2：
Observations and Analysis / 8.3.3：
Discussions on Cultural Modeling Research Issues / 8.4：
Cultural Datasets Construction / 8.4.1：
Attribute Selection / 8.4.2：
Best Performance of Classifiers / 8.4.3：
Handling the Class Imbalance Problem / 8.4.4：
Model Interpretability / 8.4.5：
Incorporation of Domain Knowledge / 8.4.6：
Cultural and Social Dynamics of Behavioral Patterns / 8.4.7：
Index / 8.5：
Preface
Acknowledgements
Intelligence and Security Informatics: Research Frameworks / Chapter 1：
6.

電子ブック
ＥＢ
6. Advances in intelligence and security informatics
Wenji Mao, Fei-Yue Wang, FeiYue Wang
出版情報: Elsevier ScienceDirect Books Complete , Burlington : Academic Press, 2013
所蔵情報: loading…
目次情報: 続きを見る
Preface
Acknowledgements
Intelligence and Security Informatics: Research Frameworks / Chapter 1：
Research Methodology and Frameworks for ISI / 1.1：
The ACP Approach / 1.2：
Modeling with Artificial Societies / 1.2.1：
Analysis with Computational Experiments / 1.2.2：
Control Through Parallel Execution / 1.2.3：
Foundations in Philosophy and Physics / 1.2.4：
Outline of Chapters / 1.3：
Agent Modeling of Terrorist Organization Behavior / Chapter 2：
Modeling Organizational Behavior / 2.1：
Action Extraction from the Web / 2.2：
Action Data Collection / 2.2.1：
Raw Action Extraction / 2.2.2：
Action Elimination / 2.2.3：
Action Refinement / 2.2.4：
Extracting Causal Knowledge from the Web / 2.3：
Construction of Action Hierarchy / 2.4：
Designing, Causal Scenarios / 2.5：
Case Study on Terrorist Organization / 2.6：
Conclusion / 2.7：
Security Story Generation for Computational Experiments / Chapter 3：
Story Generation Systems / 3.1：
System Workflow and Narrative Structure / 3.2：
Story Extraction Approach / 3.3：
Text Processing with Domain Knowledge / 3.3.1：
Event Detection and Event Element Extraction / 3.3.2：
Design and Organization of Patterns / 3.3.3：
Event Element Standardization / 3.3.4：
Evaluation of Event Relations / 3.3.5：
Experiment / 3.4：
Forecasting Croup Behavior via Probabilistic Plan Inference / 3.5：
Review of Plan-Based Inference / 4.1：
Probabilistic Plan Representation / 4.2：
Probabilistic Reasoning Approach / 4.3：
Notation / 4.3.1：
Computation / 4.3.2：
Case Study in Security Informatics / 4.4：
Construction of Plan Library / 4.4.1：
The Test Set / 4.4.2：
Experimental Results / 4.4.3：
Forecasting Complex Croup Behavior via Multiple Plan Recognition / 4.5：
Multiple Plan Recognition for Behavior Prediction / 5.1：
The MPR Problem Definition / 5.2：
The Proposed MPR Approach / 5.3：
Constructing the Explanation Graph / 5.3.1：
Computing Probability of an Explanation / 5.3.2：
Finding the Best Explanation / 5.3.3：
Algorithm and Complexity Analysis / 5.3.4：
Discussion / 5.3.5：
Experimental Design / 5.4：
Results / 5.4.2：
Social Computing in ISI: A Synthetic View / 5.5：
Social Computing / 6.1：
Theoretical and Infrastructure Underpinnings / 6.1.1：
Major Application Areas / 6.1.2：
A Social Computing-Based ISI Research Framework / 6.2：
Control and Management Through Parallel Execution / 6.2.1：
Main Issues in the ACP-Based ISI Research Framework / 6.3：
Modeling Cyber-Physical Societies / 6.3.1：
Scenario-Based Computational Experiment and Evaluation / 6.3.2：
Interactive Co-Evolution of Artificial and Actual Systems / 6.3.3：
Social Media Information Processing and Standardization / 6.3.4：
ISI Research Platform / 6.3.5：
Summary / 6.4：
Cyber-Enabled Social Movement Organizations / Chapter 7：
Studies on Social Movement Organizations: A Review / 7.1：
A New Research Framework for CeSMOs / 7.2：
CeSMO Research Questions / 7.2.1：
A Social Computing-Based CeSMO Research Framework / 7.2.2：
Case Study: Wenchuan Earthquake / 7.3：
Discussions on CeSMO Research Issues / 7.4：
CeSMO Behavior Modeling / 7.4.1：
CeSMO Network Analysis / 7.4.2：
CeSMO Social and Cultural Information Modeling and Analysis / 7.4.3：
CeSMO Behavior Prediction / 7.4.4：
Cultural Modeling for Behavior Analysis and Prediction / 7.5：
Modeling Cultural Data in Security Informatics / 8.1：
Major Machine Learning Methods / 8.2：
Naive Bayesian (NB) / 8.2.1：
Support Vector Machines (SVMs) / 8.2.2：
Artificial Neural Networks / 8.2.3：
k-Nearest Neighbor (kNN) / 8.2.4：
Decision Trees / 8.2.5：
Random Forest (RF) / 8.2.6：
Associative Classification (AC) / 8.2.7：
Experiment and Analysis / 8.3：
Datasets / 8.3.1：
Evaluation Measures / 8.3.2：
Observations and Analysis / 8.3.3：
Discussions on Cultural Modeling Research Issues / 8.4：
Cultural Datasets Construction / 8.4.1：
Attribute Selection / 8.4.2：
Best Performance of Classifiers / 8.4.3：
Handling the Class Imbalance Problem / 8.4.4：
Model Interpretability / 8.4.5：
Incorporation of Domain Knowledge / 8.4.6：
Cultural and Social Dynamics of Behavioral Patterns / 8.4.7：
Index / 8.5：
Preface
Acknowledgements
Intelligence and Security Informatics: Research Frameworks / Chapter 1：
7.

図書
図書
7. Game theory : an introduction (: hbk)
Steven Tadelis
出版情報: Princeton : Princeton University Press, c2013  xv, 396 p. ; 26 cm
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目次情報: 続きを見る
Preface
Rational Decision Making / Part I：
The Single-Person Decision Problem / Chapter 1：
Actions, Outcomes, and Preferences / 1.1：
Preference Relations / 1.1.1：
Payoff Functions / 1.1.2：
The Rational Choice Paradigm / 1.2：
Summary / 1.3：
Exercises / 1.4：
Introducing Uncertainty and Time / Chapter 2：
Risk, Nature, and Random Outcomes / 2.1：
Finite Outcomes and Simple Lotteries / 2.1.1：
Simple versus Compound Lotteries / 2.1.2：
Lotteries over Continuous Outcomes / 2.1.3：
Evaluating Random Outcomes / 2.2：
Expected Payoff: The Finite Case / 2.2.1：
Expected Payoff: The Continuous Case / 2.2.2：
Caveat: It's Not Just the Order Anymore / 2.2.3：
Risk Attitudes / 2.2.4：
The St. Petersburg Paradox / 2.2.5：
Rational Decision Making with Uncertainty / 2.3：
Rationality Revisited / 2.3.1：
Maximizing Expected Payoffs / 2.3.2：
Decisions over Time / 2.4：
Backward Induction / 2.4.1：
Discounting Future Payoffs / 2.4.2：
Applications / 2.5：
The Value of Information / 2.5.1：
Discounted Future Consumption / 2.5.2：
Theory versus Practice / 2.6：
Static Games of Complete Information / 2.7：
Preliminaries / Chapter 3：
Normal-Form Games with Pure Strategies / 3.1：
Example: The Prisoner's Dilemma / 3.1.1：
Example: Cournot Duopoly / 3.1.2：
Example: Voting on a New Agenda / 3.1.3：
Matrix Representation: Two-Player Finite Game / 3.2：
Example: Rock-Paper-Scissors / 3.2.1：
Solution Concepts / 3.3：
Assumptions and Setup / 3.3.1：
Evaluating Solution Concepts / 3.3.2：
Evaluating Outcomes / 3.3.3：
Rationality and Common Knowledge / 3.4：
Dominance in Pure Strategies / 4.1：
Dominated Strategies / 4.1.1：
Dominant Strategy Equilibrium / 4.1.2：
Evaluating Dominant Strategy Equilibrium / 4.1.3：
Iterated Elimination of Strictly Dominated Pure Strategies / 4.2：
Iterated Elimination and Common Knowledge of Rationality / 4.2.1：
Evaluating IESDS / 4.2.2：
Beliefs, Best Response, and Rationalizability / 4.3：
The Best Response / 4.3.1：
Beliefs and Best-Response Correspondences / 4.3.2：
Rationalizability / 4.3.3：
The Cournot Duopoly Revisited / 4.3.4：
The "p-Beauty Contest" / 4.3.5：
Evaluating Rationalizability / 4.3.6：
Pinning Down Beliefs: Nash Equilibrium / 4.4：
Nash Equilibrium in Pure Strategies / 5.1：
Pure-Strategy Nash Equilibrium in a Matrix / 5.1.1：
Evaluating the Nash Equilibria Solution / 5.1.2：
Nash Equilibrium: Some Classic Applications / 5.2：
Two Kinds of Societies / 5.2.1：
The Tragedy of the Commons / 5.2.2：
Coumot Duopoly / 5.2.3：
Bertrand Duopoly / 5.2.4：
Political Ideology and Electoral Competition / 5.2.5：
Mixed Strategies / 5.3：
Strategies, Beliefs, and Expected Payoffs / 6.1：
Finite Strategy Sets / 6.1.1：
Continuous Strategy Sets / 6.1.2：
Beliefs and Mixed Strategies / 6.1.3：
Expected Payoffs / 6.1.4：
Mixed-Strategy Nash Equilibrium / 6.2：
Example: Matching Pennies / 6.2.1：
Multiple Equilibria: Pure and Mixed / 6.2.2：
IESDS and Rationalizability Revisited / 6.3：
Nash's Existence Theorem / 6.4：
Dynamic Games of Complete Information / 6.5：
The Extensive-Form Game / Chapter 7：
Game Trees / 7.1.1：
Imperfect versus Perfect Information / 7.1.2：
Strategies and Nash Equilibrium / 7.2：
Pure Strategies / 7.2.1：
Mixed versus Behavioral Strategies / 7.2.2：
Normal-Form Representation of Extensive-Form Games / 7.2.3：
Nash Equilibrium and Paths of Play / 7.3：
Credibility and Sequential Rationality / 7.4：
Sequential Rationality and Backward Induction / 8.1：
Subgame-Perfect Nash Equilibrium: Concept / 8.2：
Subgame-Perfect Nash Equilibrium: Examples / 8.3：
The Centipede Game / 8.3.1：
Stackelberg Competition / 8.3.2：
Mutually Assured Destruction / 8.3.3：
Time-Inconsistent Preferences / 8.3.4：
Multistage Games / 8.4：
Payoffs / 9.1：
Strategies and Conditional Play / 9.3：
Subgame-Perfect Equilibria / 9.4：
The One-Stage Deviation Principle / 9.5：
Repeated Games / 9.6：
Finitely Repeated Games / 10.1：
Infinitely Repeated Games / 10.2：
Strategies / 10.2.1：
Application: Tacit Collusion / 10.3：
Sequential Interaction and Reputation / 10.5：
Cooperation as Reputation / 10.5.1：
Third-Party Institutions as Reputation Mechanisms / 10.5.2：
Reputation Transfers without Third Parties / 10.5.3：
The Folk Theorem: Almost Anything Goes / 10.6：
Strategic Bargaining / 10.7：
One Round of Bargaining: The Ultimatum Game / 11.1：
Finitely Many Rounds of Bargaining / 11.2：
The Infinite-Horizon Game / 11.3：
Application: Legislative Bargaining / 11.4：
Closed-Rule Bargaining / 11.4.1：
Open-Rule Bargaining / 11.4.2：
Static Games of Incomplete Information / 11.5：
Bayesian Games / Chapter 12：
Strategic Representation of Bayesian Games / 12.1：
Players, Actions, Information, and Preferences / 12.1.1：
Deriving Posteriors from a Common Prior: A Player's Beliefs / 12.1.2：
Strategies and Bayesian Nash Equilibrium / 12.1.3：
Examples / 12.2：
Teenagers and the Game of Chicken / 12.2.1：
Study Groups / 12.2.2：
Inefficient Trade and Adverse Selection / 12.3：
Committee Voting / 12.4：
Mixed Strategies Revisited: Harsanyi's Interpretation / 12.5：
Auctions and Competitive Bidding / 12.6：
Independent Private Values / 13.1：
Second-Price Sealed-Bid Auctions / 13.1.1：
English Auctions / 13.1.2：
First-Price Sealed-Bid and Dutch Auctions / 13.1.3：
Revenue Equivalence / 13.1.4：
Common Values and the Winner's Curse / 13.2：
Mechanism Design / 13.3：
Setup: Mechanisms as Bayesian Games / 14.1：
The Players / 14.1.1：
The Mechanism Designer / 14.1.2：
The Mechanism Game / 14.1.3：
The Revelation Principle / 14.2：
Dominant Strategies and Vickrey-Clarke-Groves Mechanisms / 14.3：
Dominant Strategy Implementation / 14.3.1：
Vickrey-Clarke-Groves Mechanisms / 14.3.2：
Dynamic Games of Incomplete Information / 14.4：
Sequential Rationality with Incomplete Information / Chapter 15：
The Problem with Subgame Perfection / 15.1：
Perfect Bayesian Equilibrium / 15.2：
Sequential Equilibrium / 15.3：
Signaling Games / 15.4：
Education Signaling: The MBA Game / 16.1：
Limit Pricing and Entry Deterrence / 16.2：
Separating Equilibria / 16.2.1：
Pooling Equilibria / 16.2.2：
Refinements of Perfect Bayesian Equilibrium in Signaling Games / 16.3：
Building a Reputation / 16.4：
Cooperation in a Finitely Repeated Prisoner's Dilemma / 17.1：
Driving a Tough Bargain / 17.2：
A Reputation for Being "Nice" / 17.3：
Information Transmission and Cheap Talk / 17.4：
Information Transmission: A Finite Example / 18.1：
Information Transmission: The Continuous Case / 18.2：
Application: Information and Legislative Organization / 18.3：
Mathematical Appendix / 18.4：
Sets and Sequences / 19.1：
Basic Definitions / 19.1.1：
Basic Set Operations / 19.1.2：
Functions / 19.2：
Continuity / 19.2.1：
Calculus and Optimization / 19.3：
Differentiation and Optimization / 19.3.1：
Integration / 19.3.3：
Probability and Random Variables / 19.4：
Cumulative Distribution and Density Functions / 19.4.1：
Independence, Conditional Probability, and Bayes' Rule / 19.4.3：
Expected Values / 19.4.4：
References
Index
Preface
Rational Decision Making / Part I：
The Single-Person Decision Problem / Chapter 1：
8.

電子ブック
ＥＢ
8. Thermodynamics of Information Processing in Small Systems
Takahiro Sagawa
出版情報: SpringerLink Books - AutoHoldings , Springer Japan, 2013
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Introduction / 1：
References
Review of Maxwell's Demon / 2：
Original Maxwell's Demon / 2.1：
Szilard Engine / 2.2：
Brillouin's Argument / 2.3：
Landauer's Principle / 2.4：
Bennett's Argument / 2.5：
Classical Dynamics, Measurement, and Information / 3：
Classical Dynamics / 3.1：
Classical Information Theory / 3.2：
Shannon Entropy / 3.2.1：
Kullback-Leibler Divergence / 3.2.2：
Mutual Information / 3.2.3：
Classical Measurement Theory / 3.3：
Quantum Dynamics, Measurement, and Information / 4：
Quantum Dynamics / 4.1：
Unitary Evolutions / 4.1.1：
Nonunitary Evolutions / 4.1.2：
Quantum Measurement Theory / 4.2：
Projection Measurement / 4.2.1：
POVM and Measurement Operators / 4.2.2：
Quantum Information Theory / 4.3：
Von Neumann Entropy / 4.3.1：
Quantum Kullback-Leibler Divergence / 4.3.2：
Holevo Bound / 4.3.3：
QC-Mutual Information / 4.3.4：
Quantum-Classical Correspondence / 4.3.5：
Unitary Proof of the Second Law of Thermodynamics / 5：
Second Law of Thermodynamics / 5.1：
Initial Canonical Distribution with a Single Heat Bath / 5.2：
General Situations with Multi-Heat Baths / 5.3：
Second Law with Feedback Control / 6：
Entropy Inequality / 6.1：
Generalized Second Laws / 6.2：
Generalized Szilard Engines / 6.3：
Thermodynamics of Memories / 7：
Formulation of Memory / 7.1：
Erasure Process / 7.2：
Measurement Process / 7.3：
Reconciliation with Maxwell's Demon / 7.4：
Second Law of Information Thermodynamics / 7.5：
Stochastic Thermodynamics / 8：
Dynamics / 8.1：
Nonequilibrium Equalities / 8.2：
Backward Control / 8.2.1：
Formulation of Nonequilibrium Equalities / 8.2.2：
General Derivation of the Detailed Fluctuation Theorem / 8.2.3：
Markovian Dynamics with Detail Balance / 8.3：
General Formulation / 8.3.1：
Overdamped Langevin Systems / 8.3.2：
Nonequilibrium Equalities with Feedback Control / 9：
Effect of Measurements / 9.1：
Formulation / 9.1.1：
Feedback Control / 9.1.2：
Probability Distributions with Feedback / 9.2.1：
Detailed Fluctuation Theorem for a Fixed Control Protocol / 9.2.3：
Generalized Fluctuation Theorem with Mutual Information / 9.3：
Generalized Fluctuation Theorem with Efficacy Parameter / 9.3.2：
Examples / 9.4：
Szilard Engine with Measurement Errors / 9.4.1：
Feedback-Controlled Ratchet / 9.4.2：
Conclusions / 10：
Introduction / 1：
References
Review of Maxwell's Demon / 2：
9.

図書
図書
9. From relativistic quantum mechanics to QED. 4th ed (: hardback)
Ian J.R. Aitchison, Anthony J.G. Hey
出版情報: Boca Raton : CRC Press, c2013  xiv, 438 p., [2] p. of plates ; 24 cm
シリーズ名: Gauge theories in particle physics : a practical introduction ; v. 1
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Preface
Introductory Survey, Electromagnetism as a Gauge Theory, and Relativistic Quantum Mechanics / I：
The Particles and Forces of the Standard Model / 1：
Introduction: the Standard Model / 1.1：
The fermions of the Standard Model / 1.2：
Leptons / 1.2.1：
Quarks / 1.2.2：
Particle interactions in the Standard Model / 1.3：
Classical and quantum fields / 1.3.1：
The Yukawa theory of force as virtual quantum exchange / 1.3.2：
The one-quantum exchange amplitude / 1.3.3：
Electromagnetic interactions / 1.3.4：
Weak interactions / 1.3.5：
Strong interactions / 1.3.6：
The gauge bosons of the Standard Model / 1.3.7：
Renormalization and the Higgs sector of the Standard Model / 1.4：
Renormalization / 1.4.1：
The Higgs boson of the Standard Model / 1.4.2：
Summary / 1.5：
Problems
Electromagnetism as a Gauge Theory / 2：
Introduction / 2.1：
The Maxwell equations: current conservation / 2.2：
The Maxwell equations: Lorentz covariance and gauge invariance / 2.3：
Gauge invariance (and covariance) in quantum, mechanics / 2.4：
The argument reversed: the gauge principle / 2.5：
Comments on the gauge principle in electromagnetism / 2.6：
Relativistic Quantum Mechanics / 3：
The Klein-Gordon equation / 3.1：
Solutions in coordinate space / 3.1.1：
Probability current for the KG equation / 3.1.2：
The Dirac equation / 3.2：
Free-particle solutions / 3.2.1：
Probability current for the Dirac equation / 3.2.2：
Spin / 3.3：
The negative-energy solutions / 3.4：
Positive-energy spinors / 3.4.1：
Negative-energy spinors / 3.4.2：
Dirac's interpretation of the negative-energy solutions of the Dirac equation / 3.4.3：
Feynman's interpretation of the negative-energy solutions of the KG and Dirac equations / 3.4.4：
Inclusion of electromagnetic interactions via the gauge principle: the Dirac prediction of g = 2 for the electron / 3.5：
Lorentz Transformations and Discrete Symmetries / 4：
Lorentz transformations / 4.1：
The KG equation / 4.1.1：
Discrete transformations: P, C and T / 4.1.2：
Parity / 4.2.1：
Charge conjugation / 4.2.2：
CP / 4.2.3：
Time reversal / 4.2.4：
CPT / 4.2.5：
Introduction to Quantum Field Theory / II：
Quantum Field Theory I: The Free Scalar Field / 5：
The quantum field: (i) descriptive / 5.1：
The quantum field: (ii) Lagrange-Hamilton formulation / 5.2：
The action principle: Lagrangian particle mechanics / 5.2.1：
Quantum particle mechanics a la Heisenberg-Lagrange-Hamilton / 5.2.2：
Interlude: the quantum oscillator / 5.2.3：
Lagrange-Hamilton classical field mechanics / 5.2.4：
Heisenberg-Lagrange-Hamilton quantum field mechanics / 5.2.5：
Generalizations: four dimensions, relativity and mass / 5.3：
Quantum Field Theory II: Interacting Scalar Fields / 6：
Interactions in quantum field theory: qualitative introduction / 6.1：
Perturbation theory for interacting fields: the Dyson expansion of the S-matrix / 6.2：
The interaction picture / 6.2.1：
The 5-matrix and the Dyson expansion / 6.2.2：
Applications to the 'ABC theory / 6.3：
The decay C → A + B / 6.3.1：
A + B → A + B scattering: the amplitudes / 6.3.2：
A + B → A + B scattering: the Yukawa exchange mechanism, s and u channel processes / 6.3.3：
A + B → A + B scattering: the differential cross section / 6.3.4：
A + B → A +'B scattering: loose ends / 6.3.5：
Quantum Field Theory III: Complex Scalar Fields, Dirac and Maxwell Fields; Introduction of Electromagnetic Interactions / 7：
The complex scalar field: global U(1) phase invariance, particles and antiparticles / 7.1：
The Dirac field and the spin-statistics connection / 7.2：
The Maxwell field Aμ (x) / 7.3：
The classical field case / 7.3.1：
Quantizing Aμ(x) / 7.3.2：
Introduction of electromagnetic interactions / 7.4：
P, C and T in quantum field theory / 7.5：
Tree-Level Applications in QED / 7.5.1：
Elementary Processes in Scalar and Spinor Electrodynamics / 8：
Coulomb scattering of charged spin-0 particles / 8.1：
Coulomb scattering of s+ (wavefunction approach) / 8.1.1：
Coulomb scattering of s+ (field-theoretic approach) / 8.1.2：
Coulomb scattering of s- / 8.1.3：
Coulomb scattering of charged spin-1/2 particles / 8.2：
Coulomb scattering of e- (wavefunction approach) / 8.2.1：
Coulomb scattering of e- (field-theoretic approach) / 8.2.2：
Trace techniques for spin summations / 8.2.3：
Coulomb scattering of e+ / 8.2.4：
e-s+ scattering / 8.3：
The amplitude for e-s+ → e-s+ / 8.3.1：
The cross section for e-s+ → e-s+ / 8.3.2：
Scattering from a non-point-like object: the pion form factor in e-π+ → e-π+ / 8.4：
e- scattering from a charge distribution / 8.4.1：
Lorentz invariance / 8.4.2：
Current conservation / 8.4.3：
The form factor in the time-like region: e+e- → π+π- and crossing symmetry / 8.5：
Electron Compton scattering / 8.6：
The lowest-order amplitudes / 8.6.1：
Gauge invariance / 8.6.2：
The Compton cross section / 8.6.3：
Electron muon elastic scattering / 8.7：
Electron-proton elastic scattering and nucleon form factors / 8.8：
Deep Inelastic Electron-Nucleon Scattering and the Parton Model / 8.8.1：
Inelastic electron-proton scattering: kinematics and structure functions / 9.1：
Bjorken scaling and the parton model / 9.2：
Partons as quarks and gluons / 9.3：
The Drell-Yan process / 9.4：
e+e- annihilation into hadrons / 9.5：
Loops and Renormalization / IV：
Loops and Renormalization I: The ABC Theory / 10：
The propagator correction in ABC theory / 10.1：
The Ο(g2) self-energy ΠC[2] (q2) / 10.1.1：
Mass shift / 10.1.2：
Field strength renormalization / 10.1.3：
The vertex correction / 10.2：
Dealing with the bad news: a simple example / 10.3：
Evaluating ΠC[2] (q2) / 10.3.1：
Regularization and renormalization / 10.3.2：
Bare and renormalized perturbation theory / 10.4：
Reorganizing perturbation theory / 10.4.1：
The Ο(gph2) renormalized self-energy revisited: how counter terms are determined by renormalization conditions / 10.4.2：
Renormalizability / 10.5：
Loops and Renormalization II: QED / 11：
Counter terms / 11.1：
The Ο(e2) fermion self-energy / 11.2：
The Ο (e2) photon self-energy / 11.3：
The Ο (e2) renormalized photon self-energy / 11.4：
The physics of Πγ[2] (q2) / 11.5：
Modified Coulomb's law / 11.5.1：
Radiatively induced charge form factor / 11.5.2：
The running coupling constant / 11.5.3：
ΠC[2] in the s-channel / 11.5.4：
The Ο(e2) vertex correction, and Z1 = Z2 / 11.6：
The anomalous magnetic moment and tests of QED / 11.7：
Which theories are renormalizable - and does it matter? / 11.8：
Non-relativistic Quantum Mechanics / A：
Natural Units / B：
Maxwell's Equations: Choice of Units / C：
Special Relativity: Invariance and Covariance / D：
Dirac 5-Function / E：
Contour Integration / F：
Green Functions / G：
Elements of Non-relativistic Scattering Theory / H：
Time-independent formulation and differential cross section / H.1：
Expression for the scattering amplitude: Born approximation / H.2：
Time-dependent approach / H.3：
The Schrodinger and Heisenberg Pictures
Dirac Algebra and Trace Identities / J：
Dirac algebra / J.1：
γ matrices / J.1.1：
γ5 identities / J.1.2：
Hermitian conjugate of spinor matrix elements / J.1.3：
Spin sums and projection operators / J.1.4：
Trace theorems / J.2：
Example of a Cross Section Calculation / K：
The spin-averaged squared matrix element / K.1：
Evaluation of two-body Lorentz-invariant phase space in 'laboratory' variables / K.2：
Feynman Rules for Tree Graphs in QED / L：
External particles / L.1：
Propagators / L.2：
Vertices / L.3：
References
Index
Preface
Introductory Survey, Electromagnetism as a Gauge Theory, and Relativistic Quantum Mechanics / I：
The Particles and Forces of the Standard Model / 1：
10.

図書
図書
10. Non-Abelian gauge theories : QCD and the electroweak theory. 4th ed (: hardback)
Ian J.R. Aitchison, Anthony J.G. Hey
出版情報: Boca Raton : CRC Press, c2013  xiv, 504 p., [4] p. of plates ; 24 cm
シリーズ名: Gauge theories in particle physics : a practical introduction ; v. 2
所蔵情報: loading…
目次情報: 続きを見る
Preface
Non-Abelian Symmetries / V：
Global Non-Abelian Symmetries / 12：
The Standard Model / 12.1：
The flavour symmetry SU(2)f / 12.2：
The nucleon isospin doublet and the group SU(2) / 12.2.1：
Larger (higher-dimensional) multiplets of SU(2) in nuclear physics / 12.2.2：
Isospin in particle physics: flavour SU(2)f / 12.2.3：
Flavour SU(3)f / 12.3：
Non-Abelian global symmetries in Lagrangian quantum field theory / 12.4：
SU(2)f and SU(3)f / 12.4.1：
Chiral symmetry / 12.4.2：
Problems
Local Non-Abelian (Gauge) Symmetries / 13：
Local SU(2) symmetry / 13.1：
The covariant derivative and interactions with matter / 13.1.1：
The non-Abelian field strength tensor / 13.1.2：
Local SU(3) Symmetry / 13.2：
Local non-Abelian symmetries in Lagrangian quantum field theory / 13.3：
Local SU(2) and SU(3) Lagrangians / 13.3.1：
Gauge field self-interactions / 13.3.2：
Quantizing non-Abelian gauge fields / 13.3.3：
QCD and the Renormalization Group / VI：
QCD I: Introduction, Tree Graph Predictions, and Jets / 14：
The colour degree of freedom / 14.1：
The dynamics of colour / 14.2：
Colour as an SU(3) group / 14.2.1：
Global SU(3)c invariance, and 'scalar gluons' / 14.2.2：
Local SU(3)c invariance: the QCD Lagrangian / 14.2.3：
The θ-term / 14.2.4：
Hard scattering processes, QCD tree graphs, and jets / 14.3：
Introduction / 14.3.1：
Two-jet events in pp collisions / 14.3.2：
Three-jet events in pp collisions / 14.3.3：
3-jet events in e+e- annihilation / 14.4：
Calculation of the parton-level cross section / 14.4.1：
Soft and collinear divergences / 14.4.2：
Definition of the two-jet cross section in e+e- annihilation / 14.5：
Further developments / 14.6：
Test of non-Abelian nature of QCD in e+e- → 4 jets / 14.6.1：
Jet algorithms / 14.6.2：
QCD II: Asymptotic Freedom, the Renormalization Group, and Scaling Violations / 15：
Higher-order QCD corrections to σ(e+e- → hadrons): large logarithms / 15.1：
The renormalization group and related ideas in QED / 15.2：
Where do the large logs come from? / 15.2.1：
Changing the renormalization scale / 15.2.2：
The RGE and large -q2 behaviour in QED / 15.2.3：
Back to QCD: asymptotic freedom / 15.3：
One loop calculation / 15.3.1：
Higher-order calculations, and experimental comparison / 15.3.2：
σ(e+e- → hadrons) revisited / 15.4：
A more general form of the RGE: anomalous dimensions and running masses / 15.5：
QCD corrections to the parton model predictions for deep inelastic scattering: scaling violations / 15.6：
Uncancelled mass singularities at order αs / 15.6.1：
Factorization, and the order αs DGLAP equation / 15.6.2：
Comparison with experiment / 15.6.3：
Lattice Field Theory, and the Renormalization Group Revisited / 16：
Discretization / 16.1：
Scalar fields / 16.2.1：
Dirac fields / 16.2.2：
Gauge fields / 16.2.3：
Representation of quantum amplitudes / 16.3：
Quantum mechanics / 16.3.1：
Quantum field theory / 16.3.2：
Connection with statistical mechanics / 16.3.3：
Renormalization, and the renormalization group, on the lattice / 16.4：
Two one-dimensional examples / 16.4.1：
Connections with particle physics / 16.4.3：
Lattice QCD / 16.5：
Introduction, and the continuum limit / 16.5.1：
The static qq potential / 16.5.2：
Calculation of α(MZ2) / 16.5.3：
Hadron masses / 16.5.4：
Spontaneously Broken Symmetry / VII：
Spontaneously Broken Global Symmetry / 17：
The Fabri-Picasso theorem / 17.1：
Spontaneously broken symmetry in condensed matter physics / 17.3：
The ferromagnet / 17.3.1：
The Bogoliubov superfluid / 17.3.2：
Goldstone's theorem / 17.4：
Spontaneously broken global U(1) symmetry: the Goldstone model / 17.5：
Spontaneously broken global non-Abelian symmetry / 17.6：
The BCS superconducting ground state / 17.7：
Chiral Symmetry Breaking / 18：
The Nambu analogy / 18.1：
Two flavour QCD and SU(2)f L × SU(2)f R / 18.1.1：
Pion decay and the Goldberger-Treiman relation / 18.2：
Effective Lagrangians / 18.3：
The linear and non-linear σ-models / 18.3.1：
Inclusion of explicit symmetry breaking: masses for pions and quarks / 18.3.2：
Extension to SU(3)f L × SU(3)f R / 18.3.3：
Chiral anomalies / 18.4：
Spontaneously Broken Local Symmetry / 19：
Massive and massless vector particles / 19.1：
The generation of 'photon mass' in a superconductor: Ginzburg-Landau theory and the Meissner effect / 19.2：
Spontaneously broken local U(1) symmetry: the Abelian Higgs model / 19.3：
Flux quantization in a superconductor / 19.4：
't Hooft's gauges / 19.5：
Spontaneously broken local SU(2) × U(1) symmetry / 19.6：
Weak Interactions and the Electroweak Theory / VIII：
Introduction to the Phenomenology of Weak Interactions / 20：
Fermi's 'current-current' theory of nuclear β-decay, and its generalizations / 20.1：
Parity violation in weak interactions, and V-A theory / 20.2：
Parity violation / 20.2.1：
V-A theory: chirality and helicity / 20.2.2：
Lepton number and lepton flavours / 20.3：
The universal current × current theory for weak interactions of leptons / 20.4：
Calculation of the cross section for νμ + e- → μ- + νe / 20.5：
Leptonic weak neutral currents / 20.6：
Quark weak currents / 20.7：
Two generations / 20.7.1：
Deep inelastic neutrino scattering / 20.7.2：
Three generations / 20.7.3：
Non-leptonic weak interactions / 20.8：
CP Violation and Oscillation Phenomena / 21：
Direct CP violation in B decays' / 21.1：
CP violation in B meson oscillations / 21.2：
Time-dependent mixing formalism / 21.2.1：
Determination of the angles α(φ2) and β( φ1) of the unitarity triangle / 21.2.2：
CP violation in neutral K-meson decays / 21.3：
Neutrino mixing and oscillations / 21.4：
Neutrino mass and mixing / 21.4.1：
Neutrino oscillations: formulae / 21.4.2：
Neutrino oscillations: experimental results / 21.4.3：
Matter effects in neutrino oscillations / 21.4.4：
The Glashow-Salam-Weinberg Gauge Theory of Electroweak Interactions / 21.4.5：
Difficulties with the current-current and 'naive' IVB models / 22.1：
Violations of unitarity / 22.1.1：
The problem of non-renormalizability in weak interactions / 22.1.2：
The SU(2) × U(1) electroweak gauge theory / 22.2：
Quantum number assignments; Higgs, W and Z masses / 22.2.1：
The leptonic currents (massless neutrinos): relation to current-current model / 22.2.2：
The quark currents / 22.2.3：
Simple (tree-level) predictions / 22.3：
The discovery of the W± and Z0 at the CERN pp collider / 22.4：
Production cross sections for W and Z in pp colliders / 22.4.1：
Charge asymmetry in W± decay / 22.4.2：
Discovery of the W± and Z0 at the pp collider, and their properties / 22.4.3：
Fermion masses / 22.5：
One generation / 22.5.1：
Three-generation mixing / 22.5.2：
Higher-order corrections / 22.6：
The top quark / 22.7：
The Higgs sector / 22.8：
Theoretical considerations concerning mH / 22.8.1：
Higgs boson searches and the 2012 discovery / 22.8.3：
Group Theory / M：
Definition and simple examples / M.1：
Lie groups / M.2：
Generators of Lie groups / M.3：
Examples / M.4：
SO (3) and three-dimensional rotations / M.4.1：
SU(2) / M.4.2：
SO(4): The special orthogonal group in four dimensions / M.4.3：
The Lorentz group / M.4.4：
SU(3) / M.4.5：
Matrix representations of generators, and of Lie groups / M.5：
The relation between SU(2) and SO(3) / M.6：
Geometrical Aspects of Gauge Fields / N：
Covariant derivatives and coordinate transformations / N.1：
Geometrical curvature and the gauge field strength tensor / N.2：
Dimensional Regularization / O：
Grassmann Variables / P：
Feynman Rules for Tree Graphs in QCD and the Electroweak Theory / Q：
QCD / Q.1：
External particles / Q.1.1：
Propagators / Q.1.2：
Vertices / Q.1.3：
The electroweak theory / Q.2：
References / Q.2.1：
Index
Preface
Non-Abelian Symmetries / V：
Global Non-Abelian Symmetries / 12：
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