Publications

Journal Articles


Conference Papers


Genesis: An Empirical Platform for Studying Open-Ended Evolution Without Fitness Functions

Published in Genetic and Evolutionary Computation Conference (GECCO 2026) – Late-Breaking Abstracts, 2026

This late-breaking abstract introduces Genesis, a sham-controlled empirical platform for studying open-ended evolution in the absence of explicit fitness functions. Genesis enables reproducible, statistically rigorous investigation of evolutionary viability, novelty continuity, and constraint-driven selection across multiple experimental configurations.

Recommended citation: Anushka Sharma. (accepted). "Genesis: An Empirical Platform for Studying Open-Ended Evolution Without Fitness Functions." In Genetic and Evolutionary Computation Conference (GECCO '26) – Late-Breaking Abstracts. To appear.
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Evolving Self-Organising Agents Without Fitness: Three Falsifiable Experiments from Constraint-Driven Selection to Developmental Encoding

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2026 Companion), 2026

This paper presents three falsifiable experiments exploring constraint-driven selection and developmental encoding as mechanisms for sustaining open-ended evolution without explicit fitness functions. Grounded in the Genesis Engine platform, it bridges evolutionary computation and AGI safety by demonstrating that novelty can emerge and persist through structural constraints alone.

Recommended citation: Anushka Sharma. (accepted). "Evolving Self-Organising Agents Without Fitness: Three Falsifiable Experiments from Constraint-Driven Selection to Developmental Encoding." In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '26 Companion). To appear.
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Paper Title Number 4

Published in GitHub Journal of Bugs, 2024

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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