A Game-Theoretic Memory Mechanism for Coevolution

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Emergent Tool Use From Multi-Agent Autocurricula (2019, background): “[69] Sevan G Ficici and Jordan B Pollack.”
Coevolution of neural networks using a layered pareto archive (2006, methodology): “One variation is replacing the solution concept of the Pareto Front by that of Nash equilibrium, using the Nash memory mechanism proposed by Ficici and Pollack [10].”
The road to everywhere : Evolution, complexity and progress in natural and artificial systems (2008, background): “Breakdowns in the arms race are associated with a loss of adaptive function, since an ability (to defeat some individuals that could be defeated by ancestors) has been lost by the newer individual [57].”
Biasing Coevolutionary Search for Optimal Multiagent Behaviors (2006, background): “[42], and to maintain as many informatively distinguishing test cases as possible [43].”