Is evolvability evolvable?
By M. Pigliucci. 2008
557 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology, 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
- Jeff Clune
- Kenneth O. Stanley
- Jean-Baptiste Mouret
- Joel Lehman
- Antoine Cully
- Yiannis Demiris
- Joanna Masel
- Sebastian Risi
In Molecular Biology
- Jeff Clune
- Joanna Masel
- Yiannis Demiris
- Kenneth O. Stanley
- Antoine Cully
- Joel Lehman
- Gerd B. Müller
- Chrisantha Fernando
In Sociology and Political Science
- Jeff Clune
- Kenneth O. Stanley
- Joel Lehman
- Jean-Baptiste Mouret
- Antoine Cully
- Yiannis Demiris
- Sebastian Risi
- Andrea Soltoggio
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “selection criteria, the concepts of evolvability and scalability (Wagner and Altenberg, 1996; Pigliucci, 2008; Lehman and Stanley, 2013), the encoding of genetic information through the genotype-phenotype mapping processes (Wagner and Altenberg, 1996; Hornby et al.”
- Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills (2015, background): “Why modularity evolved in such networks has been a long-standing area of research [18 – 20 , 56 –”
- Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution (2023, background): “Our third class of mutation operators includes hyper-mutation operators concerned with the evolution of evolvability (Dawkins, 2003; Pigliucci, 2008; Payne & Wagner, 2019; Gajewski et al., 2019)—those which modify the search/exploration process rather than the task reward obtaining process directly.”
- Evolvability Is Inevitable: Increasing Evolvability without the Pressure to Adapt (2013, background): “For example, selection on mutation or recombination rates [2], species-level selection to adapt [1,3], selection for stability of evolved structures [3,8], and persisting through fluctuating selective environments [5] have all been proposed as partial explanations for increasing evolvability.”
- Robustness and Evolvability (2010, background): “For a systematic discussion of alternative definitions, see Ref [3]”
- AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence (2019, background): “In the literature of biological and computational evolution, this phenomenon is called evolvability [85, 86, 190, 29, 130, 189, 110].”
- Evolvable Neuronal Paths: A Novel Basis for Information and Search in the Brain (2011, background): “Recently, as part of the extended evolutionary synthesis, people have begun to seriously study the evolution of evolvability [17,18].”
- Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It (2016, background): “There is no overall agreement on evolvability’s definition or measurement [28], which complicates operationalizing it as a criterion for optimization.”
- Evolution, the Extended Synthesis (2010, background): “…(Wagner and Altenberg 1996; R. L. Carroll 2002; Love 2003b; Wagner 2005; Hansen 2006; Hendrikse et al. 2007; Colegrave and Collins 2008; Pigliucci 2008), for instance, did not exist in the literature before the early 1990s; phenotypic plasticity (West-Eberhard 1989; Scheiner 1993;…”
- Robustness: mechanisms and consequences (2009, background): “For a systematic discussion of alternative definitions, see [82]”
- The evolutionary origins of modularity (2012, background): “The tanh(x) transfer function ensures an output range of [21, 1].”
- Copying and Evolution of Neuronal Topology (2008, background): “extended evolutionary synthesis [28] that addresses the issue of the”
- Quality and Diversity Optimization: A Unifying Modular Framework (2017, background): “Although there is no overall agreement on the definition of evolvability [45], we can note that our definition of the curiosity score shares similarities with some of the first def-”
- Towards a Developmental Turn in Evolutionary Economic Geography? (2015, background): “…to integrating evolution and development as part of a search for what some have called a ‘New Synthesis’ (ENDLER and MCLELLAN, 1988), others a new ‘Extended Synthesis’ (PIGLIUCCI and MÜLLER, 2010), and still others a new ‘epistemic space’ (MÜLLER, 2007; PIGLIUCCI, 2007, 2008; 2009; WEBER, 2011).”