Artificial Immunology for Collective Adaptive Systems Design and Implementation

Capodieci, Nicola; Hart, Emma; Cabri, Giacomo

Abstract

Distributed autonomous systems consisting of large numbers of components with no central control point need to be able to dynamically adapt their control mechanisms to deal with an unpredictable and changing environment. Existing frameworks for engineering self-adaptive systems fail to account for the need to incorporate self-expression—that is, the capability of a system to dynamically adapt its coordination pattern during runtime. Although the benefits of incorporating self-expression are well known, currently there is no principled means of enabling this during system design. We propose a conceptual framework for principled design of systems that exhibit self-expression, based on inspiration from the natural immune system. The framework is described as a set of design principles and customizable algorithms and then is instantiated in three case studies, including two from robotics and one from artificial chemistry. We show that it enables self-expression in each case, resulting in systems that are able to adapt their choice of coordination pattern during runtime to optimize functional and nonfunctional goals, as well as to discover novel patterns and architectures.

Citation

Capodieci, N., Hart, E., & Cabri, G. (2016). Artificial Immunology for Collective Adaptive Systems Design and Implementation. ACM transactions on autonomous and adaptive systems, 11(2), 1-25. https://doi.org/10.1145/2897372

• Journal Article Type: Article
• Acceptance Date: Feb 24, 2016
• Online Publication Date: May 1, 2016
• Publication Date: Jul 25, 2016
• Deposit Date: Jun 20, 2017
• Publicly Available Date: Jun 21, 2017
• Journal: ACM Transactions on Autonomous and Adaptive Systems
• Print ISSN: 1556-4665
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Issue: 2
• Pages: 1-25
• DOI: https://doi.org/10.1145/2897372
• Keywords: Autonomic computing, artificial immune system, framework
• Public URL: http://researchrepository.napier.ac.uk/Output/949967
• Contract Date: Jun 21, 2017