Open-Ended Evolution: Perspectives from the OEE Workshop in York

By Tim Taylor, M. Bedau, A. Channon, David H. Ackley, Wolfgang Banzhaf, G. Beslon, Emily L. Dolson, Tom Froese, S. Hickinbotham, T. Ikegami and 15 more. 2016

140 citations recorded by the source corpus.

Subfields: Genetics, Sociology and Political Science

How researchers see this paper

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

In Genetics

In Sociology and Political Science

Citations in the corpus

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “Open-ended evoluti n seeks to set up experiments that can volve indefi itely m re complex solutions given sufficient computational power (Taylor et al., 2016).”
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions (2019, background): “We might want such an open-ended [18–22] process because the chain that leads from the capabilities of machine learning today to e.g. general human-level intelligence could stretch across vast and inconceivable paths of stepping stones.”
Open-ended Learning in Symmetric Zero-sum Games (2019, background): “There is a large literature on novelty search, open-ended evolution, and curiosity, which aim to continually expand the frontiers of game knowledge within an agent (Lehman & Stanley, 2008; Taylor et al., 2016; Banzhaf et al., 2016; Brant & Stanley, 2017; Pathak et al., 2017; Wang et al., 2019).”
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge (2022, background): “[120] Tim Taylor, Mark Bedau, Alastair Channon, David Ackley, Wolfgang Banzhaf, Guillaume Beslon, Emily Dolson, Tom Froese, Simon Hickinbotham, Takashi Ikegami, et al.”
POET: open-ended coevolution of environments and their optimized solutions (2019, background): “such a process could continue indefinitely and with increasing complexity, QD begins to look like a conduit to open-ended evolution [2, 32, 55, 58, 60].”
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence (2019, background): “…has occurred in the ﬁelds of computational evolutionary biology, artiﬁcial life, and neuroevolution attempting to investigate how to create an open-ended complexity explosion like the one that occurred with living animals on Earth [99, 172, 13, 88, 138, 17, 162, 2, 183, 70, 86, 85, 167, 26, 20].”