Performance of Population of Na\"ive Creatures with Fear and Desire Capable of Observational Social Learning
Anna T. Ławniczak, Bianchi Stefano, Leslie Ly, Shengkun Xie · Acta Physica Polonica B Proceedings Supplement · 2016
A fashion-based cellular automata is one whose updating rule follows the form of an ecological competition model.The rule for the automata is specified by a square matrix with entries quantifying the influence each state has on each other when they both occur within a neighborhood.Because they preserve areas containing a single cell state, these rules are well able to specify automata that rapidly transform a random initial condition into a map appearing as a collection of caverns.Because the automata acts in a purely local fashion, it is valuable for generating collections of maps with similar look-and-feel, but different details, enabling automatic content generation and replayability in video games.This study extends an earlier study, examining new fitness functions and studying reusability, scalability, and the impact of parameter tuning for this type of cellular automata for automatically designing level maps.A representation for evolutionary computation is morphable if convex combinations of instances of the representation are instances of the representation.The fashion-based rules, being specified by real values matrices, are morphable.The ability to produce new, more complex maps by exploiting morphability is also explored.