Louis F. Pau, Claudio Gianotti

Economic and Financial Knowledge-Based Processing (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book gives a survey of applications of artificial intelligence in banking, financial services and economics. It presents the tools, methods and application possibilities and includes an extensive survey of real projects.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 366
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9783642760020
• Artikelnr.: 53393706

Inhaltsangabe

A reader's guide.- 0 Introduction.- 0.1 Introduction.- 0.2 The strategic challenge to banks and insurance.- 0.3 The strategic challenge to financial services.- 0.4 The strategic challenge to economic analysis and decision making.- 0.5 The strategic challenge for business management.- 0.6 Conclusion.- 1 Basic concepts.- 1.1 Introduction.- 1.2 Survey of AI applications in finance and economics.- 1.3 Case studies and examples.- 1.4 The mortgage loan credit granting case study.- 1.5 AI and Decision support.- 2 Applications of Artificial Intelligence in banking, financial services and economics.- 2.1 The motivations for the use of AI.- 2.2 Survey of development projects.- 2.3 Development and delivery environments.- 2.4 Generic domain utilities.- 2.5 Inference control and conflict resolution strategies.- 2.6 Table of projects.- 2.7 Project references.- 3 Knowledge Representation.- 3.1 Introduction.- 3.2 Case study: a tax adviser.- 3.3 The graph and tree data structures.- 3.4 Semantic networks.- 3.5 Logic.- 3.6 Rules.- 3.7 Frames.- 3.8 Temporal reasoning.- 4 Artificial Intelligence Programming Languages.- 4.1 Introduction.- 4.2 Language syntax and parsing.- 4.3 LISP.- 4.4 Prolog.- 4.5 Object-oriented programming.- 5 Search and causal analysis.- 5.1 Motivation.- 5.2 State-based representation of problems.- 5.3 Problem graphs.- 5.4 Search and knowledge.- 5.5 Search procedures.- 5.6 Application: a simple economic model in graph form.- 5.7 Simple propagation.- 5.8 Propagation with alternatives: depth-first.- 5.9 Introducing side effects: breadth-first.- 5.10 Case study: causal analysis in linear economic models.- 5.11 Heuristic search methods.- 6 Neural processing and inductive learnings.- 6.1 Introduction.- 6.2 Neural processing for learning and classification.- 6.3 Inductivelearning.- 6.4 Extensions to neural processing.- 7 Technical analysis for securities trading.- 7.1 Introduction.- 7.2 Curve generation by a syntactic grammar.- 7.3 Curve segmentation.- 7.4 Segmentation of noisy curves.- 7.5 Analysis evaluation rules.- 7.6 Technical analysis on several curves and software implementation.- 7.7 Time series analysis.- 7.8 Examples of concurrent trading rules.- 7.9 Off-line analysis for learning.- 7.10 Forecasting.- 7.11 Trade generation.- 8 Intelligent information screens.- 8.1 Introduction.- 8.2 Selective object-oriented data acquisition.- 8.3 Knowledge-based information screens.- 8.4 Knowledge-based filters for financial information screens.- 8.5 Information retrieval aspects.- 8.6 Data fusion.- 8.7 Correlation.- 9 Natural language front-ends to economic models.- 9.1 Introduction.- 9.2 Prolog parser for NL front-ends.- 9.3 Definite clause grammar in Prolog.- 9.4 Translation of DCG grammar rules into Prolog clauses.- 9.5 DCG parser.- 9.6 Reasoning from NL analysis.- 10 Trade selection with uncertain reasoning on technical indicators.- 10.1 Introduction.- 10.2 The theory of Dempster-Shafer.- 10.3 Pooling evidence.- 10.4 Application: pooling evidence about trading.- 11 Currency risk management.- 11.1 Introduction: risk planning over time.- 11.2 Single period model.- 11.3 Multi-period model.- 11.4 Knowledge-based risk management.- 11.5 Risk allocation procedure.- 12 Reasoning procedures in knowledge-based systems for economics and management.- 12.1 Introduction.- 12.2 Objects in decision analysis.- 12.3 Classification of decision methods.- 12.4 Logics and constraints.- 12.5 Truth maintenance as rational decision-making.- 12.6 Search over time and disequilibrium.- 12.7 Conflict resolution.- 12.8 Search over AND/OR graphs.- 12.9 Power relations and gaming for the selection of solutions.- Appendix 1 Software Codes.- Appendix 2 Predefined LISP and Prolog expressions 333.