subject predicate object context
19261 Creator cae4fa380bd0c61cfbb4bb2cb1b035d5
19261 Creator ef6859ec86ef4adb58c0255d78e856b1
19261 Date 2004
19261 Is Part Of p03029743
19261 Is Part Of repository
19261 abstract 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.
19261 authorList authors
19261 editorList editors
19261 status peerReviewed
19261 volume 3020
19261 type Article
19261 type BookSection
19261 label Johnson, Jeffrey and Price, Blaine A. (2004). Complexity science and representation in robot soccer. In: Polani, Daniel; Browning, Brett; Bonarini, Andrea and Yoshida, Kazuo eds. RoboCup 2003: Robot Soccer World Cup VII. Lecture Notes in Computer Science, 3020. Berlin: Springer, pp. 67–76.
19261 label Johnson, Jeffrey and Price, Blaine A. (2004). Complexity science and representation in robot soccer. In: Polani, Daniel; Browning, Brett; Bonarini, Andrea and Yoshida, Kazuo eds. RoboCup 2003: Robot Soccer World Cup VII. Lecture Notes in Computer Science, 3020. Berlin: Springer, pp. 67–76.
19261 Publisher ext-1c5ddec173ca8cdfba8b274309638579
19261 Title Complexity science and representation in robot soccer
19261 in dataset oro