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Artificial Intelligence and Economic Theory: Skynet in the Market [[electronic resource] /] / by Tshilidzi Marwala, Evan Hurwitz
| Artificial Intelligence and Economic Theory: Skynet in the Market [[electronic resource] /] / by Tshilidzi Marwala, Evan Hurwitz |
| Autore | Marwala Tshilidzi |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XII, 204 p. 67 illus.) |
| Disciplina | 006.3 |
| Collana | Advanced Information and Knowledge Processing |
| Soggetto topico |
Artificial intelligence
Computers Economic theory Artificial Intelligence Models and Principles Economic Theory/Quantitative Economics/Mathematical Methods |
| ISBN | 3-319-66104-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Man and Machines -- Supply and Demand -- Rational Choice and Rational Expectations -- Bounded Rationality -- Behavioral Economics -- Information Asymmetry -- Game Theory -- Pricing -- Efficient Market Hypothesis -- Mechanism Design -- Portfolio Theory -- Counterfactuals -- Financial Engineering -- Causality -- Future Work -- Appendices -- Index. |
| Record Nr. | UNINA-9910254850303321 |
Marwala Tshilidzi
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence and the Law
| Artificial Intelligence and the Law |
| Autore | Marwala Tshilidzi |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Palgrave Macmillan, , 2024 |
| Descrizione fisica | 1 online resource (267 pages) |
| Altri autori (Persone) | MpediLetlhokwa George |
| ISBN | 981-9728-27-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- About the Authors -- Selected Abbreviations and Acronyms -- 1 Artificial Intelligence and the Law -- 1.1 Introduction -- 1.2 What Is AI? -- 1.3 Machine Learning -- 1.4 Selected Systems of Law and Their Intersection with AI -- 1.4.1 Roman-Dutch Law -- 1.4.1.1 Historical Overview and Its Enduring Influence on Global Legal -- 1.4.1.2 AI and Roman-Dutch Law: Implications for Legal Practice and Society -- 1.4.2 English Common Law -- 1.4.2.1 The Evolution and Relevance of Roman-English Common Law in Modern Jurisprudence -- 1.4.2.2 The Impact of AI on English Common Law: Opportunities and Challenges -- 1.4.3 Customary Law -- 1.4.3.1 Understanding Customary Law: Origins, Characteristics, Significance, and Challenges -- 1.4.3.2 The Significance of AI and Customary Law in Modern Legal Systems -- 1.4.4 Religious Personal Law -- 1.4.4.1 Exploring Religious Personal Law: Attributes, Challenges, and Significance in Legal Frameworks -- 1.4.4.2 The Intersection of AI and Religious Personal Law: Opportunities and Challenges -- 1.5 Revolutionizing Legal Services with AI: Impact on Legal Practice -- 1.6 Intersection of AI, Law, and Ethics -- 1.7 Regulatory Approaches to Address Ethical and Practical Concerns of AI Integration in the Legal Profession -- 1.8 Rest of the Textbook -- 1.9 Conclusion -- 1.10 Summary -- 1.11 Questions -- References -- 2 Artificial Intelligence and Access to Justice -- 2.1 Introduction -- 2.2 AI Tools -- 2.2.1 Legal Chatbots and Virtual Assistants -- 2.2.2 Predictive Analytics -- 2.2.3 Online Dispute Resolution -- 2.2.4 Language Translation -- 2.3 Impact of Tools -- 2.3.1 Unlocking Economic Barriers -- 2.3.2 Reducing Geographical Barriers -- 2.3.3 Reducing Legal Complexity -- 2.3.4 Improve Language and Literacy -- 2.4 Conclusion -- 2.5 Summary -- 2.6 Questions -- References.
3 Criminal Justice System and AI -- 3.1 Introduction -- 3.2 Predictive Policing -- 3.3 Efficient Case Management -- 3.4 Evidence Analysis -- 3.5 Risk Assessment -- 3.6 Data Privacy -- 3.7 Job Displacement -- 3.8 Conclusion -- 3.9 Summary -- 3.10 Questions -- References -- 4 Autonomous Vehicles -- 4.1 Introduction -- 4.2 Autonomous Vehicle Technology -- 4.3 Levels of Automation of EVs -- 4.4 Regulatory Structures -- 4.5 Legal Liabilities -- 4.6 Data Collection, Privacy, and cybersecurity -- 4.7 Edge Computing and AVs -- 4.8 Conclusion -- 4.9 Summary -- 4.10 Questions -- References -- 5 Autonomous Weapons -- 5.1 Introduction -- 5.2 Lethal Autonomous Weapons (LAWS) -- 5.3 Types of LAWS -- 5.4 Autonomy of LAWS -- 5.5 Regulating LAWS -- 5.6 LAWS and AI -- 5.7 LAWS and Cybersecurity -- 5.8 LAWS and the Law -- 5.9 Conclusion -- 5.10 Summary -- 5.11 Questions -- References -- 6 Inequality -- 6.1 Introduction -- 6.2 Artificial Intelligence -- 6.3 AI Accessibility -- 6.4 Job Disruption -- 6.5 Housing -- 6.6 Conclusion -- 6.7 Summary -- 6.8 Questions -- References -- 7 Social Protection -- 7.1 Introduction -- 7.2 Social Contract -- 7.3 Human Rights -- 7.4 Homelessness -- 7.4.1 The State of Homelessness -- 7.4.2 AI and Homelessness -- 7.5 Social Grants -- 7.5.1 The State of Social Grants -- 7.5.2 AI and Social Grants -- 7.6 Incorporating AI into the Social Security Administration -- 7.7 Legal and Ethical Challenges of Social Security -- 7.7.1 Legal and Ethics -- 7.7.2 AI and Legal Challenges -- 7.8 Conclusion -- 7.9 Summary -- 7.10 Questions -- References -- 8 Human Creation -- 8.1 Introduction -- 8.2 Human Tissue Use -- 8.3 Embryo Adoption -- 8.4 Human Cloning -- 8.5 Artificial Womb -- 8.6 Posthumously Conceived Children -- 8.7 Gene Editing -- 8.8 Ethics of Harvesting Human Cells -- 8.9 Conclusion -- 8.10 Summary -- 8.11 Questions -- References. 9 Health Liability -- 9.1 Introduction -- 9.2 Epilepsy -- 9.3 HIV/AIDS -- 9.4 COVID-19 -- 9.5 Microarray Gene Expression -- 9.6 Artificial Larynx -- 9.7 Proton Therapy -- 9.8 Medical Imaging -- 9.9 Conclusion -- 9.10 Summary -- 9.11 Questions -- References -- 10 Labor Law -- 10.1 Introduction -- 10.2 Trade Unions -- 10.3 Unemployment -- 10.4 Skills -- 10.5 Future of Work -- 10.6 Remote Work -- 10.7 Ghost Workers -- 10.8 Wearables in the Workplace -- 10.9 Fertility-Friendly Workplace -- 10.10 Conclusion -- 10.11 Summary -- 10.12 Questions -- References -- 11 Climate Change -- 11.1 Introduction -- 11.2 Renewable Energy Technologies -- 11.3 Energy Storage and Grid Management -- 11.4 Carbon Capture and Storage -- 11.5 Electric and Hybrid Vehicles -- 11.6 Green Building Technologies -- 11.7 Sustainable Agriculture and Food Production -- 11.8 Climate Monitoring and Modeling Technologies -- 11.9 Geoengineering -- 11.10 Water Management and Conservation Technologies -- 11.11 Conclusion -- 11.12 Summary -- 11.13 Questions -- References -- 12 Conclusion -- 12.1 Introduction -- 12.2 Opportunities of AI and the Law -- 12.2.1 Enhanced Efficiency and Productivity -- 12.2.2 Enhanced Legal Service Accessibility -- 12.2.3 Advanced Legal Research -- 12.2.4 Predictive Analytics -- 12.2.5 Enhanced Risk Mitigation -- 12.2.6 Tailored Legal Solutions -- 12.2.7 Improved Dispute Resolutions -- 12.2.8 Legal Analytics for Strategy and Business Development -- 12.2.9 Training and Development -- 12.2.10 Legal Scholarship and Reform -- 12.2.11 Enhancing the Quality of Justice -- 12.2.12 Enhancing Global Legal Collaboration -- 12.3 Challenges of AI and the Law -- 12.3.1 Ethics and Morals -- 12.3.2 Transparency and Explainability -- 12.3.3 Regulatory and Legal Frameworks -- 12.3.4 Data Privacy and Security -- 12.3.5 Intellectual Property Issues -- 12.3.6 Access and Inequality. 12.3.7 Integration with Existing Legal Practices -- 12.3.8 Professional Skills and Training -- 12.3.9 Reliability and Performance Concerns -- 12.3.10 Global and Jurisdictional Challenges -- 12.3.11 Public Trust -- 12.3.12 Evolving Nature of AI -- 12.4 Principles of AI and the Law -- 12.4.1 Liability in the Age of AI -- 12.4.2 Transparency and Explainability -- 12.4.3 Privacy Concerns in AI Integration -- 12.4.4 Intellectual Property Implications -- 12.4.5 Ethical Considerations and AI -- 12.5 Future of AI and the Law -- 12.5.1 Widespread Adoption of AI in Law -- 12.5.2 Advanced Legal Analytics -- 12.5.3 Improved Access to Justice -- 12.5.4 Evolving Legal Education and Training -- 12.5.5 Regulatory and Ethical Framework Development -- 12.5.6 AI in Judicial Decision-Making -- 12.5.7 Cross-Disciplinary Collaboration -- 12.5.8 Global Standards and Cooperation -- 12.5.9 AI as a Tool for Legal Reform and Policymaking -- 12.5.10 Ethical AI -- 12.6 Conclusion -- 12.7 Summary -- 12.8 Questions -- References -- Index. |
| Record Nr. | UNINA-9910861095103321 |
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Marwala Tshilidzi
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| Singapore : , : Palgrave Macmillan, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence Techniques for Rational Decision Making [[electronic resource] /] / by Tshilidzi Marwala
| Artificial Intelligence Techniques for Rational Decision Making [[electronic resource] /] / by Tshilidzi Marwala |
| Autore | Marwala Tshilidzi |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (178 p.) |
| Disciplina | 006.3015 |
| Collana | Advanced Information and Knowledge Processing |
| Soggetto topico |
Artificial intelligence
Computational intelligence Statistics Operations research Decision making Optical data processing Artificial Intelligence Computational Intelligence Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Operations Research/Decision Theory Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-319-11424-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Rational Decision Making -- Casual Function for Rational Decision Making: Application to Militarized Interstate Disputes -- Correlation Function for Rational Decision Making: Application to Epileptic Activity -- Missing Data Approaches for Rational Decision Making: Application to Anecdotal Data -- Rational Counterfactuals and Decision Making: Application to Interstate Conflict -- Flexibility-Bounded Rationality in Interstate Conflict -- Filtering Irrelevant Information for Rational Decision Making -- Group Decision Making -- Conclusion -- Appendix A: Fourier Transform, Wavelet Transform, Modal Properties and Pseudo-Modal Energies -- Appendix B: Committee of Networks. |
| Record Nr. | UNINA-9910298968003321 |
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Marwala Tshilidzi
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence, Game Theory and Mechanism Design in Politics
| Artificial Intelligence, Game Theory and Mechanism Design in Politics |
| Autore | Marwala Tshilidzi |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Palgrave Macmillan, , 2023 |
| Descrizione fisica | 1 online resource (221 pages) |
| ISBN | 981-9951-03-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- About the Author -- Abbreviations -- List of Figures -- List of Tables -- 1 Introduction to Artificial Intelligence, Game Theory, and Mechanism Design in Politics -- 1.1 Introduction to International Politics -- 1.2 AI -- 1.3 Game Theory -- 1.4 Mechanism Development -- 1.5 Conclusion and Outline of the Book -- References -- 2 Game Theory in Politics -- 2.1 Introduction to Game Theory -- 2.2 Types of Games -- 2.3 Cooperative vs Non-Cooperative Games in International Politics -- 2.4 Simultaneous vs Sequential Games and International Politics -- 2.5 Zero-Sum vs Non-Zero-Sum Games -- 2.6 Symmetric vs Asymmetric Games -- 2.7 Static vs Dynamic Games -- 2.8 Game Theory and International Politics -- 2.9 Conclusion -- References -- 3 Mechanism Design in Politics -- 3.1 Introduction to Mechanism Design -- 3.2 Types of Mechanism Design -- 3.3 Auction Mechanism -- 3.4 Voting Mechanism -- 3.5 Matching Mechanism -- 3.6 Market Mechanisms -- 3.7 Contract Mechanisms -- 3.8 Public Goods Mechanisms -- 3.9 Mechanism Design in Politics -- 3.10 Conclusion -- References -- 4 Artificial Intelligence in Politics -- 4.1 Introduction to Artificial Intelligence -- 4.2 Types of Artificial Intelligence -- 4.3 AI Narrow -- 4.4 General AI -- 4.5 Superintelligent AI -- 4.6 Neural Networks -- 4.7 Reinforcement Learning -- 4.8 AI and Politics -- 4.9 Conclusion -- References -- 5 Data in Politics -- 5.1 Introduction to Data and International Relations -- 5.2 Data Gathering and International Politics -- 5.3 Data and Game Theory -- 5.4 Data and Mechanism Design -- 5.5 Data and Artificial Intelligence -- 5.6 Missing and Imperfect Data -- 5.7 Missing Data Estimation -- 5.8 Cross-Border Data Flow -- 5.9 Data Ethics -- 5.10 Data Governance -- 5.11 Conclusion -- References -- 6 Deep Learning in Politics.
6.1 Deep Learning and Politics Overview -- 6.2 Deep Learning Types -- 6.3 Feedforward Neural Networks -- 6.4 Deep Learning -- 6.5 Convolutional Neural Networks (CNNs) -- 6.6 Generative Adversarial Networks (GANs) -- 6.7 Deep Learning and International Politics -- 6.8 Conclusions -- References -- 7 Natural Language Processing in Politics -- 7.1 Natural Language Processing (NLP) and Politics Overview -- 7.2 Topic Modelling -- 7.3 Sentiment Analysis -- 7.4 Text Classification -- 7.5 Machine Translation -- 7.6 Under-Resourced Languages -- 7.7 African Languages -- 7.8 Language Preservation -- 7.9 Hate Speech -- 7.10 Conclusion -- References -- 8 Evolutionary Programming in Politics -- 8.1 Evolutionary Programming and Politics Overview -- 8.2 Evolutionary Programming and Politics -- 8.3 Genetic Algorithms and Politics -- 8.4 Ant Colony Optimization and Politics -- 8.5 Particle Swarm Optimization and Politics -- 8.6 Simulated Annealing and Politics -- 8.7 Artificial Immune System and Politics -- 8.8 Conclusion -- References -- 9 Cybersecurity in Politics -- 9.1 What is Cybersecurity? -- 9.2 Cybersecurity and Politics -- 9.3 Types of Cybersecurity -- 9.4 Network Security and Politics -- 9.5 Application Security and Politics -- 9.6 Information Security and Politics -- 9.7 Operational Security and Politics -- 9.8 Disaster Recovery, Business Continuity, and Politics -- 9.9 Firewalls and Intrusion Detection/Prevention Systems -- 9.10 Encryption and Virtual Private Networks (VPNs) -- 9.11 Security Information and Event Management Systems (SIEM) -- 9.12 Investment in Cybersecurity -- 9.13 Conclusion -- References -- 10 Social Media in Politics -- 10.1 What Is Social Media? -- 10.2 Social Media and Politics -- 10.3 Social Media as a Political Discourse Platform -- 10.4 Activism and Social Media -- 10.5 Digital Diplomacy -- 10.6 Elections and Social Media. 10.7 Online Echo Chambers -- 10.8 Social Media, Conflict and Politics -- 10.9 Social Media, AI, and Mechanism Design in International Politics -- 10.10 Policy and Regulation -- 10.11 Conclusion -- References -- 11 Robotics in Politics -- 11.1 What is Robotics? -- 11.2 Robotics and Politics -- 11.3 Robotics in Diplomacy -- 11.4 Robotics in Conflict -- 11.5 Autonomous Weapons -- 11.6 Robotics and Economic Relations -- 11.7 Robot Tax -- 11.8 Robotic Norms and Regulations -- 11.9 AI, Game Theory, Mechanism Design, and Robotics -- 11.10 Conclusion -- References -- 12 AI-Powered Blockchain in Politics -- 12.1 Artificial Intelligence-Powered Blockchain in Politics -- 12.2 Blockchain Technology -- 12.3 Diplomacy and Communication -- 12.4 Security and Cyberdefense -- 12.5 Economic Relations and Trade -- 12.6 Governance and Regulation -- 12.7 Blockchain and Energy Consumption -- 12.8 Challenges and Risks of AI and Blockchain in Politics -- 12.9 Conclusion -- References -- 13 Conclusion -- 13.1 Introduction -- 13.2 Artificial Intelligence -- 13.3 Game Theory -- 13.4 Mechanism Design -- 13.5 Artificial Intelligence, Game Theory, and Mechanism Design -- 13.6 Conclusion -- References -- Index. |
| Record Nr. | UNINA-9910736976903321 |
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Marwala Tshilidzi
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| Singapore : , : Palgrave Macmillan, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Economic modeling using artificial intelligence methods / / Tshilidzi Marwala
| Economic modeling using artificial intelligence methods / / Tshilidzi Marwala |
| Autore | Marwala Tshilidzi |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | London : , : Springer, , 2013 |
| Descrizione fisica | 1 online resource (xvi, 261 pages) : illustrations (some color) |
| Disciplina | 330.0113 |
| Collana | Advanced Information and Knowledge Processing |
| Soggetto topico |
Economics - Computer simulation
Economics - Data processing Artificial intelligence |
| ISBN | 1-4471-5010-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foreword -- Preface -- Acknowledgements -- Introduction to Economic Modeling -- Techniques for Economic Modeling: Unlocking the Character of Data -- Automatic Relevance Determination in Economic Modeling -- Neural Approaches to Economic Modeling -- Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricing -- Rough Sets Approach to Economic Modeling: Unlocking Knowledge in Financial Data -- Missing Data Approaches to Economic Modeling: Optimization Approach -- Correlations versus Causality Approaches to Economic Modeling -- Evolutionary Approaches to Computational Economics: Application to Portfolio Optimization -- Real-time Approaches to Computational Economics: Self Adaptive Economic Systems -- Multi-Agent Approaches to Economic Modeling: Game Theory, Ensembles, Evolution and the Stock Market -- Control Approaches to Economic Modeling: Application to Inflation Targeting -- Modeling Interstate Conflict: The Role of Economic Interdependency for Maintaining Peace -- Conclusions and Further Work -- Index. |
| Record Nr. | UNINA-9910741172203321 |
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Marwala Tshilidzi
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| London : , : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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