Artificial Life and Computational Intelligence: First by Stephan Chalup, Alan D. Blair, Marcus Randall

By Stephan Chalup, Alan D. Blair, Marcus Randall

This booklet constitutes the refereed lawsuits of the 1st Australasian convention on synthetic existence and Computational Intelligence, ACALCI 2015, held in Newcastle, NSW, Australia, in February 2015. The 34 revised complete papers awarded have been rigorously reviewed and chosen from sixty three submissions. The papers are prepared within the following topical sections: philosophy and conception; online game environments and strategies; studying, reminiscence and optimization; and purposes and implementations.

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Additional info for Artificial Life and Computational Intelligence: First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015. Proceedings

Example text

The wreath product is easy to generalize for more levels. Wreath products are prone to combinatorial explosion, so in practice we deal with substructures with the dependency functions limited. These we call cascade products (see Fig. 1 for a simple example). 1C2 1C2 +1 0 1 top +1 c(0) c(1) 1C2 +1 0 1C2 1 bottom +1 Fig. 1. Cascade with Carry. A modulo 4 counter (cyclic group C4 acting on 4 objects) is built as a cascade product of two modulo 2 counters (C2 on 2 objects). Their wreath product would yield the symmetry group of the square, but limiting dependencies as much as possible to allow just the carry bit (here function c) yields precisely the counter.

M. ) Implicit Memory and Metacognition. Erlbaum, Hillsdale (1996) 26. : Applications of Automata Theory and Algebra via the Mathematical Theory of Complexity to Biology, Physics, Psychology, Philosophy, and Games. W. L. (Original version: University of California at Berkeley, Mathematics Library, 1971) 27. : A Course in the Theory of Groups, 2nd edn. Springer (1995) 28. : Mechanical puzzle marketed as Rubik’s Clock. Patent EP0322085 (1989) 29. : A representational analysis of numeration systems.

Natural problems for such puzzles are: 1. How can one go, via elementary legal moves, from one configuration x of the puzzle to a standard “solved” configuration? 2. More generally, how can one go from configuration x to another arbitrarily selected configuration y? The main quest of permutation puzzles is often to find a shortest sequence of moves that leads to the solution (bounded by the diameter of the Cayley graph of the underlying group). g. Thistlethwaite’s Algorithm), it is not our aim here.

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