Add to ORKGAn agent based game theoretical approach to using artificial intelligence to model the stock market. The paper argues stock market can be meaningfully modelled from a game theoretical perspective using an agent based methodology of artificial intelligence
International audienceQuantitative finance has had a long tradition of a bottom-up approach to compl...
The central research question to answer in this study is whether the AI methodology of Self-Play can...
The paper gives picture of enrichment to economic and financial system analysis using agent-based mo...
Stock markets strive to provide an efficient trading platform for investors. Trading rules and mecha...
Stock markets strive to provide an efficient trading platform for investors. Trading rules and mecha...
The following report discusses the design and development of an agent-based artificial model of a st...
Agent-Based Modeling (ABM) is a powerful simulation technique with applications in several fields, i...
Game Theory is used on many occasions to help us understand interactions between decision-makers. Th...
Just as war is sometimes fallaciously represented as a zero sum game -- when in fact war is a negati...
The purpose of this paper is to define software engineering abstractions that provide a generic fram...
Agent-Based Modeling (ABM) is a powerful simulation technique with applications in several fields, i...
textabstractThe dynamics of financial markets is subject of much debate among researchers and financ...
<p><em>The paper focuses on artificial stock market simulations using a multi-agent model incorporat...
Simulation has been increasingly applied in social sciences and economics in the two last decades. A...
Understanding the implications of algorithmic trading calls for modeling financial markets at a leve...
International audienceQuantitative finance has had a long tradition of a bottom-up approach to compl...
The central research question to answer in this study is whether the AI methodology of Self-Play can...
The paper gives picture of enrichment to economic and financial system analysis using agent-based mo...
Stock markets strive to provide an efficient trading platform for investors. Trading rules and mecha...
Stock markets strive to provide an efficient trading platform for investors. Trading rules and mecha...
The following report discusses the design and development of an agent-based artificial model of a st...
Agent-Based Modeling (ABM) is a powerful simulation technique with applications in several fields, i...
Game Theory is used on many occasions to help us understand interactions between decision-makers. Th...
Just as war is sometimes fallaciously represented as a zero sum game -- when in fact war is a negati...
The purpose of this paper is to define software engineering abstractions that provide a generic fram...
Agent-Based Modeling (ABM) is a powerful simulation technique with applications in several fields, i...
textabstractThe dynamics of financial markets is subject of much debate among researchers and financ...
<p><em>The paper focuses on artificial stock market simulations using a multi-agent model incorporat...
Simulation has been increasingly applied in social sciences and economics in the two last decades. A...
Understanding the implications of algorithmic trading calls for modeling financial markets at a leve...
International audienceQuantitative finance has had a long tradition of a bottom-up approach to compl...
The central research question to answer in this study is whether the AI methodology of Self-Play can...
The paper gives picture of enrichment to economic and financial system analysis using agent-based mo...