Title

Multi-agent Architectures for Analysis of Complex Adaptive Systems

Abstract

Complex adaptive systems are decentralized, distributed, and dynamic in nature. Consequently, these systems cannot be analyzed successfully by modeling them as single cognitive agents since the capacity of an agent is limited by its knowledge and computing resources. Multi-agent modeling by its modular characteristic provides a valuable engineering abstraction for analysis of such systems. This paper focuses on multi-agent system architectures and design methodologies, as well as models of evolution integrated in these studies. As a case study of an agent-based architecture, an evolutionary financial market architecture is outlined.

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Agent-Based Financial Market Architecture; Multi-Agent Modeling; Multi-Agent System Architectures

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2006 Institute for People-centred Computation (IP-CC), All rights reserved.

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