Author:
William R. Buckley
Affiliation:
California Evolution Institute, United States
Keyword(s):
Automata, Cellular, Construction, Efficient, Learning, Machine, Replication.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Evolutionary Computing
;
Evolutionary Multiobjective Optimization
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Machine Learning
;
Soft Computing
;
Symbolic Systems
Abstract:
Of interest to the theory of machines that construct is ontogeny, by which process of development the constructor is transformed from immature to mature form. Whereas we have already shown that self-replicating machines generally are able to bootstrap themselves through the construction of sub-machines (such as organs that rewind a tape, or replicate a tape, or initiate the behavior of a construct), in this paper we present in abstract a constructor that bootstraps its ability to construct, through the construction of sub-constructors. This is to say, we present a constructor that learns how to construct, and does so by constructing; our constructor is in truth a proto-constructor. Here, learning occurs by the addition of new machine configuration; each learned lesson is correlated with specific additions to machine configuration.