  Open-endedness, primarily studied in the context of artificial life, is the
ability of systems to generate potentially unbounded ontologies of increasing
novelty and complexity. Engineering generative systems displaying at least some
degree of this ability is a goal with clear applications to procedural content
generation in games. The Paired Open-Ended Trailblazer (POET) algorithm,
heretofore explored only in a biped walking domain, is a coevolutionary system
that simultaneously generates environments and agents that can solve them. This
paper introduces a POET-Inspired Neuroevolutionary System for KreativitY
(PINSKY) in games, which co-generates levels for multiple video games and
agents that play them. This system leverages the General Video Game Artificial
Intelligence (GVGAI) framework to enable co-generation of levels and agents for
the 2D Atari-style games Zelda and Solar Fox. Results demonstrate the ability
of PINSKY to generate curricula of game levels, opening up a promising new
avenue for research at the intersection of procedural content generation and
artificial life. At the same time, results in these challenging game domains
highlight the limitations of the current algorithm and opportunities for
improvement.
