Daniel Anabitarte’s scientific contributions

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Publications (1)


Self-Inspection Based Reproduction in Cellular Automata.
  • Conference Paper

June 1995

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24 Reads

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28 Citations

Lecture Notes in Computer Science

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Daniel Anabitarte

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In this work we analyze different existing cellular automata capable of reproducing, and conclude that reproduction in those models is attained as a fixed point of the more general operation of construction, instead of being founded as a higher level specialized mechanism. Thus reproduction becomes a very unstable property and this fact is an obstacle in the aim of studying it together with other Alife characteristics, mainly because of destructive interactions. We propose a cellular reproduction model based on self-inspection as an attempt to overcome at least partially these drawbacks. We argue that our model attains a better founded an more robust reproduction scheme, and briefly explore the possibilities of using it to model the emergence of reproducing structures, to study the interplay between autonomy and reproduction, and to use it as a basis for evolutionary experimental scenarios.

Citations (1)


... After that, Langton' loop attracts much attention and various attempts have been done, such as deleting the external sheath (Tempesti, 1995) or the inner sheath (Byl, 1989), producing unsheathed loops with less states (Reggia et al., 1993), and considering self-replication on asynchronous cellular automata (Nehaniv, 2002). Likewise, Ibáñez et al. (1995) introduced the ability of self-inspection, which allows the genome to dynamically construct concomitantly with its interpretation. Making full of the self-inspection ability, Morita and Imai (1996b) proposed a shape-encoding mechanism that depends on genetic codes from the loops' phenotypical pattern to self-replication. ...

Reference:

Enhancing the diversity of self-replicating structures using active self-adapting mechanisms
Self-Inspection Based Reproduction in Cellular Automata.
  • Citing Conference Paper
  • June 1995

Lecture Notes in Computer Science