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Creator |
cae4fa380bd0c61cfbb4bb2cb1b035d5 |
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Creator |
ef6859ec86ef4adb58c0255d78e856b1 |
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Date |
2004 |
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Is Part Of |
p03029743 |
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Is Part Of |
repository |
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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. |
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authorList |
authors |
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editorList |
editors |
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status |
peerReviewed |
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volume |
3020 |
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type |
Article |
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type |
BookSection |
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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. |
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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. |
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Publisher |
ext-1c5ddec173ca8cdfba8b274309638579 |
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Title |
Complexity science and representation in robot soccer |
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in dataset |
oro |