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We present an artificial chemistry model where genotypic and phenotypic strings react with each other. The model prevents the genome from directly coding for genotype-phenotype mappings or for gene-replication enzymes. Experiments demonstrate the genome can evolve to manipulate reactions of phenotypic strings in such a way as to alter the genotype-phenotype mapping, and produce gene-replication enzymes.
This paper presents in-formation flocking, a novel information visualization technique that extends the original information flocking concept with dynamic and data-driven visual formation behavior generation. This approach extends the emergent swarming properties of a decentralized multi-agent system in order to represent complex time-varying datasets through visually-recognizable formations and motion...
In this paper, we apply a theoretical swarm-generating technique to a system implementing cluster-based construction. The technique, known as swarm engineering consists of two stages. In the first stage, which is top down, the global goal is expressed in such a way that specific conditions may be developed which, when satisfied, guarantees achievement of the global goal. The second step, which is...
We propose an automata induction approach to modeling birdsongs on the basis of Angluin’s induction algorithm, which ensures that k-reversible languages can be learned from positive samples in polynomial time. There are similarities between Angluin’s algorithm and the vocal learning of songbirds; for example, during a critical period, songbirds learn songs from positive samples of conspecific birds...
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