Automated Self-Assembly Programming Paradigm: Initial Investigations

Authors:
Lin Li;Natalio Krasnogor;Jon Garibaldi
Affiliations:
Univeristy of Nottingham, UK;Univeristy of Nottingham, UK;Univeristy of Nottingham, UK
Venue:
EASE '06 Proceedings of the Third IEEE International Workshop on Engineering of Autonomic & Autonomous Systems
Year:
2006

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Abstract

This paper presents a model that simulates a selfassembly process for software components. Initial investigations on the Automated Self-Assembly Programming Paradigm (ASAP2) is presented whereby software components are treated as a gas' molecules and their interactions, within a confined area with specific temperature and pressure constraints, give rise to a variety of program architectures. We present experimental results that show how different factors affect the efficiency of the software self-assembly process and the diversity of the self-assembled programs. To the best of our knowledge this is the first time that selfassembly - a ubiquitous natural phenomenon - has been proposed as a (potentially) viable alternative to other automated program synthesis methodologies like for example genetic programming.