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Title: Analysis of system behavior through cognitive architectures
Author (s): Enke, David L.
Dagli, Cihan H.
Kilicay, Nil
Department/Lab Affiliations: Engineering Management & Systems Engineering
Keywords: Cognitive architectures
agent-based simulation
artificial stock market
bias mechanisms
learning classifier systems
Issue Date: 2007
Publisher: Unknown Publisher
Citation: Kilicay, N., Enke D., and Dagli, C.H. "Analysis of System Behavior through Cognitive Architectures" Vol.1 Proceedings of the 2007 International Conference on Artificial Intelligence, Las Vegas, Nevada, 2007, pp. 50-55.
Abstract: This paper focuses on utilization of multiagent systems and cognitive architectures for analysis of financial market dynamics. Sloman's H-Cogaff cognitive architecture is utilized as a blue-print to design trader architecture (Sloman 2002). The trader architecture combines a Markov-based bias mechanism and an XCS classifier based learning mechanism. An agent-based artificial stock market is designed to observe trader behavior and market price dynamics. Initial results reveal that the bias mechanism affects price dynamics and results in deviation of the stock price from the efficient market price.
Type: Article - Conference proceedings
text
In Title: Proceedings of the 2007 International Conference on Artificial Intelligence
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titleAnalysis of system behavior through cognitive architectures
contributor.authorEnke, David L.
contributor.authorDagli, Cihan H.
contributor.authorKilicay, Nil
contributor.deptlabEngineering Management & Systems Engineering
subjectCognitive architectures
subjectagent-based simulation
subjectartificial stock market
subjectbias mechanisms
subjectlearning classifier systems
date.issued2007
publisherUnknown Publisher
identifier.citationKilicay, N., Enke D., and Dagli, C.H. "Analysis of System Behavior through Cognitive Architectures" Vol.1 Proceedings of the 2007 International Conference on Artificial Intelligence, Las Vegas, Nevada, 2007, pp. 50-55.
description.abstractThis paper focuses on utilization of multiagent systems and cognitive architectures for analysis of financial market dynamics. Sloman's H-Cogaff cognitive architecture is utilized as a blue-print to design trader architecture (Sloman 2002). The trader architecture combines a Markov-based bias mechanism and an XCS classifier based learning mechanism. An agent-based artificial stock market is designed to observe trader behavior and market price dynamics. Initial results reveal that the bias mechanism affects price dynamics and results in deviation of the stock price from the efficient market price.
typeArticle - Conference proceedings
type.DCMITypetext
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rightsPublisher and copyright holder unknown, no full text allowed.
rights.URI
http://scholarsmine.mst.edu/about/institutional_repository/copyright.html
relation.isPartOfProceedings of the 2007 International Conference on Artificial Intelligence
date.available2008-08-14T16:04:02Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/AnalysisOfSystemBehaviorThroughCognitive_09007dcc80557b1f.html