BOOK-CHAPTER

Designing a Distributed Context-Aware Multi-Agent System

Abstract

Instability, complexity and chaotic behavior are distinguishing features of financial markets. As a result, financial analysis has greatly benefited from the application of concepts and tools from nonlinear science. In addition, the need to analyze huge amounts of financial data necessitates the utilization of computer-intensive methods. This chapter aims to provide an overview of the diverse research domains, in financial analysis, where nonlinear science, combined with computational intelligence, could find application.

Keywords:
Computer science Context (archaeology) Chaotic Financial market Nonlinear system Data science Finance Artificial intelligence Business

Metrics

1
Cited By
1.14
FWCI (Field Weighted Citation Impact)
0
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Complex Systems and Time Series Analysis
Social Sciences →  Economics, Econometrics and Finance →  Economics and Econometrics

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