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To Boldly Go: an occam-π mission to engineer emergence.
Peter H. Welch, Kurt Wallnau, Adam T. Sampson, and Mark Klein
Natural Computing, pages 1-27, April 2012 [The PDF content here is the "accepted author's version" of the paper published by Springer. It is a prior draft of the official publication.] [doi].Abstract
Future systems will be too complex to design and implement explicitly. Instead, we will have to learn to engineer complex behaviours indirectly: through the discovery and application of local rules of behaviour, applied to simple process components, from which desired behaviours predictably emerge through dynamic interactions between massive numbers of instances. This paper describes a process-oriented architecture for fine-grained concurrent systems that enables experiments with such indirect engineering. Examples are presented showing the differing complex behaviours that can arise from minor (non-linear) adjustments to low-level parameters, the difficulties in suppressing the emergence of unwanted (bad) behaviour, the unexpected relationships between apparently unrelated physical phenomena (shown up by their separate emergence from the same primordial process swamp) and the ability to explore and engineer completely new physics (such as force fields) by their emergence from low-level process interactions whose mechanisms can only be imagined, but not built, at the current time. Download publication 15391 kbytes (PDF)Bibtex Record
@article{3217,
author = {Peter H. Welch and Kurt Wallnau and Adam T. Sampson and Mark Klein},
title = {{T}o {B}oldly {G}o: an occam-π mission to engineer emergence.},
month = {April},
year = {2012},
pages = {1-27},
keywords = {complex systems, emergent behaviour, emergent relations, emergent discovery, process orientation, mobile processes, occam-pi},
note = {[The PDF content here is the "accepted author's version" of the paper published by Springer. It is a prior draft of the official publication.]},
doi = {10.1007/s11047-012-9304-2},
url = {http://www.cs.kent.ac.uk/pubs/2012/3217},
publication_type = {article},
submission_id = {12412_1338548355},
ISSN = {1567-7818},
journal = {Natural Computing},
publisher = {Springer},
}