Evolution , Ecology and Optimization of Digital Organisms

By T. Ray. 1992

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Emergent Tool Use From Multi-Agent Autocurricula (2019, background): “Open-ended evolution was further explored in the environments Polyworld [21] and Geb [22], where agents compete and mate in a 2D world, and in Tierra [23] and Avida [24], where computer programs compete for computational resources.”
Open-Ended Evolution: Perspectives from the OEE Workshop in York (2016, unknown): “However, each particular run of the system would eventually reach a state of stasis where only selectively neutral variations were seen to emerge [40, 49].”
Exploiting Open-Endedness to Solve Problems Through the Search for Novelty (2008, background): “Tierra [24], PolyWorld [32] and Geb [4] are typical examples.”
Perpetuating evolutionary emergence (1998, methodology): “Now, as reported in (Ray, 1992, section 3.1.1), a parasite can be obtained by simply mutating one bit of the T1100 template to produce T1110; this would then be the same as the end template , reducing the length to be copied (c), and the " call T1100 " statement would search outwards in memory…”
Abandoning Objectives: Evolution Through the Search for Novelty Alone (2011, background): “Tierra (Ray, 1992) is an open-ended evolutionary model in which self-replicating digital programs compete for resources on a virtual computer.”