Title

Artificial Life Framework: Cognitive Architecture Embedded in Multi-agent Models

Abstract

In this paper, an Artificial Life based framework for modelling System of Systems is presented. The framework comprises cognitive architectures embedded in multi-agent models. Financial markets are selected as an analysis domain to demonstrate the framework. From the Artificial Life framework, a trader-based architecture is formulated as a model to analyze system level behaviour. Sloman's H-Cogaff cognitive architecture is utilized as a blue-print to design trader architecture. Agent-based artificial stock market is designed to observe market dynamics under the designed trader architecture. The paper discusses the potential use of this framework for other system of systems problems. The framework provides a flexible way of modelling subsystems of System of Systems and captures the adaptive and emergent behaviour of the system.

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Architectural Modeling; Architectural Models; System of Systems

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

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