Authors:
Iryna Veryzhenko
1
;
Philippe Mathieu
1
and
Olivier Brandouy
2
Affiliations:
1
UMR CNRS-USTL, France
;
2
Sorbonne Graduate Business School, France
Keyword(s):
Multi-agent systems, Artificial market, Market microstructure, Agents interactions.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Economic Agent Models
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
The purpose of this paper is to define software engineering abstractions that provide a generic framework for stock market simulations. We demonstrate a series of key points and principles that has governed the development of an Agent-Based financial market in the form of an API. The simulator architecture is presented. During artificial market construction we have faced the whole variety of agent-based modeling issues and solved them : local interaction, distributed knowledge and resources, heterogeneous environments, agents
autonomy, artificial intelligence, speech acts, discrete scheduling and simulation. Our study demonstrates that the choices made for agent-based modeling in this context deeply impact the resulting market dynamics and proposes a series of advances regarding the main limits the existing platforms actually meet.