Computational Genetics, Physiology, Metabolism, Neural Systems, Learning, Vision, and Behavior or PolyWorld: Life in a New Context

By Larry S. Yaeger. 1997

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Citations in the corpus

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.”
Perpetuating evolutionary emergence (1998, background): “PolyWorld organisms have seven pre-programmed behaviors: eating, mating, fighting, moving, turning, focusing and lighting.”
Abandoning Objectives: Evolution Through the Search for Novelty Alone (2011, background): “A typical approach is to create a complex artiﬁcial world in which there is no ﬁnal objective other than survival and replication (Adami et al., 2000; Channon, 2001; Yaeger, 1994).”
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents (2019, unknown): “Such projects often consider open-ended skill learning (Yaeger, 1994) and general morphology evolution (Sims, 1994) as primary objectives.”
Evaluating Topological Models of Neuromodulation in Polyworld (2014, methodology): “The genes from the two parent agents are crossed over to generate the genes for the offspring; see (Yaeger, 1994) for details.”
Exploiting Open-Endedness to Solve Problems Through the Search for Novelty (2008, background): “Many suggest that more detailed, lifelike domains must be constructed to facilitate the open-ended dynamic of natural evolution [20, 25, 32].”
Supplementing evolutionary developmental systems with abstract models of neurogenesis (2007, background): “Developmental approaches, in which EA genomes specify a recipe, not a blueprint, for ANN formation, arose to combat the scalability problem [10, 2, 8, 20 ].”
Identifying Necessary Conditions for Open-Ended Evolution through the Artificial Life World of Chromaria (2014, background): “Another popular genre includes PolyWorld (Yaeger, 1994), where neural network-based organisms that were shown to increase in complexity forage and ﬁght on a two-dimensional plane.”