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.
Recommended Citation
N. H. Kilicay et al., "Multi-Agent Architectures for Analysis of Complex Adaptive Systems," Proceedings of the 7th International Conference, Adaptive Computing in Design and Manufacture (2006, Bristol, UK), Institute for People Centred Computation (IPCC), Apr 2006.
Meeting Name
7th International Conference on Adaptive Computing in Design and Manufacture, ACDM06 (2006: Apr. 24, Bristol, UK)
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 (IPCC), All rights reserved.
Publication Date
24 Apr 2006
