Name
Abstract | ||
|---|---|---|
This article is motivated by the need to minimize the number of elements required to establish a self-reproducing system. One such system is a self-reproducing extraterrestrial robotic colony, which reduces the launch payload mass for space exploration compared to current mission configurations. In this work, self-reproduction is achieved by the actions of a robot on available resources. An important consideration for the establishment of any self-reproducing system is the identification of a seed, for instance, a set of resources and a set of robots that utilize them to produce all of the robots in the colony. This article outlines a novel algorithm to determine an optimal seed for self-reproducing systems, with application to a self-reproducing extraterrestrial robotic colony. Optimality is understood as the minimization of a cost function of the resources and, in this article, the robots. Since artificial self-reproduction is currently an open problem, the algorithm is illustrated with a simple robotic self-replicating system from the literature and with a more complicated self-reproducing example from nature. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1162/artl_a_00048 | Artificial Life |
Keywords | Field | DocType |
Combinatorial optimization,discrete mathematics,graph algorithm applications,seed identification,self-reproducing systems,space robotics | Space robotics,Open problem,Computer science,Combinatorial optimization,Space exploration,Minification,Artificial intelligence,Robot,Machine learning,Payload | Journal |
Volume | Issue | ISSN |
18 | 1 | 1064-5462 |
Citations | PageRank | References |
1 | 0.39 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amor a. Menezes | 1 | 14 | 4.73 |
| Pierre T. Kabamba | 2 | 58 | 17.07 |