Johnson, Jeffrey and Price, Blaine A.
|DOI (Digital Object Identifier) Link:||https://doi.org/10.1007/b98623|
|Google Scholar:||Look up in Google Scholar|
Complexity science is characterised by computational irreducibility, chaotic dynamics, combinatorial explosion, co-evolution, and multilevel lattice hierarchical structure. One of its main predictive tools is computer-generated distributions of possible future system states. This assumes that the system can be represented inside computers. Robot soccer provides an excellent laboratory subject for complexity science, and we seek a lattice hierarchical vocabulary to provide coherent symbolic representations for reasoning about robot soccer systems at appropriate levels. There is a difference between constructs being human-supplied and being abstracted autonomously. The former are implicitly lattice-hierarchically structured. We argue that making the lattice hierarchy explicit is necessary for autonomous systems to abstract their own constructs. The ideas are illustrated using data taken from the RoboCup simulation competition.
|Item Type:||Book Chapter|
|Copyright Holders:||2004 Springer|
|Academic Unit/School:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
|Interdisciplinary Research Centre:||Centre for Policing Research and Learning (CPRL)
Centre for Research in Computing (CRC)
|Depositing User:||Colin Smith|
|Date Deposited:||22 Dec 2009 16:16|
|Last Modified:||30 Nov 2016 14:26|
|Share this page:|